What’s Layer 4 Switch?

A Layer 4 switch, also known as a transport layer switch or content switch, operates on the transport layer (Layer 4) of the OSI (Open Systems Interconnection) model. This layer is responsible for end-to-end communication and data flow control between devices across a network. Here are key characteristics and functionalities of Layer 4 switches:

• Packet Filtering: Layer 4 switches can make forwarding decisions based on information from the transport layer, including source and destination port numbers. This allows for more sophisticated filtering than traditional Layer 2 (Data Link Layer) or Layer 3 (Network Layer) switches.

• Load Balancing: One of the significant features of Layer 4 switches is their ability to distribute network traffic across multiple servers or network paths. This load balancing helps optimize resource utilization, enhance performance, and ensure high availability of services.

• Session Persistence: Layer 4 switches can maintain session persistence, ensuring that requests from the same client are consistently directed to the same server. This is crucial for applications that rely on continuous connections, such as e-commerce or real-time communication services.

• Connection Tracking: Layer 4 switches can track the state of connections, helping to make intelligent routing decisions. This is particularly beneficial in scenarios where connections are established and maintained between a client and a server.

• Quality of Service (QoS): Layer 4 switches can prioritize network traffic based on the type of service or application. This ensures that critical applications receive preferential treatment in terms of bandwidth and response time.

• Security Features: Layer 4 switches often come with security features such as access control lists (ACLs) and the ability to perform deep packet inspection. These features contribute to the overall security of the network by allowing or denying traffic based on specific criteria.

• High Performance: Layer 4 switches are designed for high-performance networking. They can efficiently handle a large number of simultaneous connections and provide low-latency communication between devices.

Layer 2 vs Layer 3 vs Layer 4 Switch

Layer 2 Switch:

Layer 2 switches operate at the Data Link Layer (Layer 2) and are primarily focused on local network connectivity. They make forwarding decisions based on MAC addresses in Ethernet frames, facilitating basic switching within the same broadcast domain. VLAN support allows for network segmentation.

However, Layer 2 switches lack traditional IP routing capabilities, making them suitable for scenarios where simple switching and VLAN segmentation meet the networking requirements.

Layer 3 Switch:

Operating at the Network Layer (Layer 3), Layer 3 switches combine switching and routing functionalities. They make forwarding decisions based on both MAC and IP addresses, supporting IP routing for communication between different IP subnets. With VLAN support, these switches are versatile in interconnecting multiple IP subnets within an organization.

Layer 3 switches can make decisions based on IP addresses and support dynamic routing protocols like OSPF and RIP, making them suitable for more complex network environments.

Layer 4 Switch:

Layer 4 switches operate at the Transport Layer (Layer 4), building on the capabilities of Layer 3 switches with advanced features. In addition to considering MAC and IP addresses, Layer 4 switches incorporate port numbers at the transport layer. This allows for the optimization of traffic flow, making them valuable for applications with high performance requirements.

Layer 4 switches support features such as load balancing, session persistence, and Quality of Service (QoS). They are often employed to enhance application performance, provide advanced traffic management, and ensure high availability in demanding network scenarios.

Summary:

In summary, Layer 2 switches focus on basic local connectivity and VLAN segmentation. Layer 3 switches, operating at a higher layer, bring IP routing capabilities and are suitable for interconnecting multiple IP subnets. Layer 4 switches, operating at the Transport Layer, further extend capabilities by optimizing traffic flow and offering advanced features like load balancing and enhanced QoS.

The choice between these switches depends on the specific networking requirements, ranging from simple local connectivity to more complex scenarios with advanced routing and application performance needs.

” Also Check – Layer 2, Layer 3 & Layer 4 Switch: What’s the Difference?

Layer 2 vs Layer 3 vs Layer 4 Switch: Key Parameters to Consider When Purchasing

To make an informed decision for your business, it’s essential to consider the key parameters between Layer 2, Layer 3, and Layer 4 switches when purchasing.

1. Network Scope and Size:

When considering the purchase of switches, the size and scope of your network are critical factors. Layer 2 switches are well-suited for local network connectivity and smaller networks with straightforward topologies.

In contrast, Layer 3 switches come into play for larger networks with multiple subnets, offering essential routing capabilities between different LAN segments.

Layer 4 switches, with advanced traffic optimization features, are particularly beneficial in more intricate network environments where optimizing traffic flow is a priority.

2. Functionality and Use Cases:

The functionality of the switch plays a pivotal role in meeting specific network needs. Layer 2 switches provide basic switching and VLAN support, making them suitable for scenarios requiring simple local connectivity and network segmentation.

Layer 3 switches, with combined switching and routing capabilities, excel in interconnecting multiple IP subnets and routing between VLANs.

Layer 4 switches take functionality a step further, offering advanced features such as load balancing, session persistence, and Quality of Service (QoS), making them indispensable for optimizing traffic flow and supporting complex use cases.

3. Routing Capabilities:

Understanding the routing capabilities of each switch is crucial. Layer 2 switches lack traditional IP routing capabilities, focusing primarily on MAC address-based forwarding.

Layer 3 switches, on the other hand, support basic IP routing, allowing communication between different IP subnets.

Layer 4 switches, while typically not performing traditional IP routing, specialize in optimizing traffic flow at the transport layer, enhancing the efficiency of data transmission.

4. Scalability and Cost:

The scalability of the switch is a key consideration, particularly as your network grows. Layer 2 switches may have limitations in larger networks, while Layer 3 switches scale well for interconnecting multiple subnets.

Layer 4 switch scalability depends on specific features and capabilities. Cost is another crucial factor, with Layer 2 switches generally being more cost-effective compared to Layer 3 and Layer 4 switches. The decision here involves balancing your budget constraints with the features required for optimal network performance.

5. Security Features:

Security is paramount in any network. Layer 2 switches provide basic security features like port security. Layer 3 switches enhance security with the inclusion of access control lists (ACLs) and IP security features.

Layer 4 switches may offer additional security features, including deep packet inspection, providing a more robust defense against potential threats.

In conclusion, when purchasing switches, carefully weighing factors such as network scope, functionality, routing capabilities, scalability, cost, and security features ensures that the selected switch aligns with the specific requirements of your network, both in the present and in anticipation of future growth and complexities.

The Future of Layer 4 Switch

The future development of Layer 4 switches is expected to revolve around addressing the growing complexity of modern networks. Enhanced application performance, better support for cloud environments, advanced security features, and alignment with virtualization and SDN trends are likely to shape the evolution of Layer 4 switches, ensuring they remain pivotal components in optimizing and securing network infrastructures.

In conclusion, the decision between Layer 2, Layer 3, and Layer 4 switches is pivotal for businesses aiming to optimize their network infrastructure. Careful consideration of operational layers, routing capabilities, functionality, and use cases will guide you in selecting the switch that aligns with your specific needs. Whether focusing on basic connectivity, IP routing, or advanced traffic optimization, choosing the right switch is a critical step in ensuring a robust and efficient network for your business.

Related Article： Layer 2 vs Layer 3 Switch: Which One Do You Need? | FS Community

Over the past decade, data center containment has experienced a high rate of implementation by many data centers. It can greatly improve the predictability and efficiency of traditional data center cooling systems. This article will elaborate on what data center containment is, common types of it, and their benefits and challenges.

What Is Data Center Containment?

Data center containment is the separation of cold supply air from the hot exhaust air from IT equipment so as to reduce operating cost, optimize power usage effectiveness, and increase cooling capacity. Containment systems enable uniform and stable supply air temperature to the intake of IT equipment and a warmer, drier return air to cooling infrastructure.

Types of Data Center Containment

There are mainly two types of data center containment, hot aisle containment and cold aisle containment.

Hot aisle containment encloses warm exhaust air from IT equipment in data center racks and returns it back to cooling infrastructure. The air from the enclosed hot aisle is returned to cooling equipment via a ceiling plenum or duct work, and then the conditioned air enters the data center via raised floor, computer room air conditioning (CRAC) units, or duct work.

Cold aisle containment encloses cold aisles where cold supply air is delivered to cool IT equipment. So the rest of the data center becomes a hot-air return plenum where the temperature can be high. Physical barriers such as solid metal panels, plastic curtains, or glass are used to allow for proper airflow through cold aisles.

Hot Aisle vs. Cold Aisle

There are mixed views on whether it’s better to contain the hot aisle or the cold aisle. Both containment strategies have their own benefits as well as challenges.

Hot aisle containment benefits

• The open areas of the data center are cool, so that visitors to the room will not think the IT equipment is not being cooled sufficiently. In addition, it allows for some low density areas to be un-contained if desired.
• It is generally considered to be more effective. Any leakages that come from raised floor openings in the larger part of the room go into the cold space.
• With hot aisle containment, low-density network racks and stand-alone equipment like storage cabinets can be situated outside the containment system, and they will not get too hot, because they are able to stay in the lower temperature open areas of the data center.
• Hot aisle containment typically adjoins the ceiling where fire suppression is installed. With a well-designed space, it will not affect normal operation of a standard grid fire suppression system.

Hot aisle containment challenges

• It is generally more expensive. A contained path is needed for air to flow from the hot aisle all the way to cooling units. Often a drop ceiling is used as return air plenum.
• High temperatures in the hot aisle can be undesirable for data center technicians. When they need to access IT equipment and infrastructure, a contained hot aisle can be a very uncomfortable place to work. But this problem can be mitigated using temporary local cooling.

Cold aisle containment benefits

• It is easy to implement without the need for additional architecture to contain and return exhaust air such as a drop ceiling or air plenum.
• Cold aisle containment is less expensive to install as it only requires doors at ends of aisles and baffles or roof over the aisle.
• Cold aisle containment is typically easier to retrofit in an existing data center. This is particularly true for data centers that have overhead obstructions such as existing duct work, lighting and power, and network distribution.

Cold aisle containment challenges

• When utilizing a cold aisle system, the rest of the data center becomes hot, resulting in high return air temperatures. It also may create operational issues if any non-contained equipment such as low-density storage is installed in the general data center space.
• The conditioned air that leaks from the openings under equipment like PDUs and raised floor tend to enter air paths that return to cooling units. This reduces the efficiency of the system.
• In many cases, cold aisles have intermediate ceilings over the aisle. This may affect the overall fire protection and lighting design, especially when added to an existing data center.

How to Choose the Best Containment Option?

Every data center is unique. To find the most suitable option, you have to take into account a number of aspects. The first thing is to evaluate your site and calculate the Cooling Capacity Factor (CCF) of the computer room. Then observe the unique layout and architecture of each computer room to discover conditions that make hot aisle or cold aisle containment preferable. With adequate information and careful consideration, you will be able to choose the best containment option for your data center.

Article Source: Data Center Containment: Types, Benefits & Challenges

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The COVID-19 pandemic caused several companies to shut down, and the implications were reduced production and altered supply chains. In the tech world, where silicon microchips are the heart of everything electronic, raw material shortage became a barrier to new product creation and development.

During the lockdown periods, some essential workers were required to stay home, which meant chip manufacturing was unavailable for several months. By the time lockdown was lifted and the world embraced the new normal, the rising demand for consumer and business electronics was enough to ripple up the supply chain.

Below, we’ve discussed the challenges associated with the current chip shortage, what to expect moving forward, and the possible interventions necessary to overcome the supply chain constraints.

Challenges Caused by the Current Chip Shortage

As technology and rapid innovation sweeps across industries, semiconductor chips have become an essential part of manufacturing – from devices like switches, wireless routers, computers, and automobiles to basic home appliances.

To understand and quantify the impact this chip shortage has caused spanning the industry, we’ll need to look at some of the most affected sectors. Here’s a quick breakdown of how things have unfolded over the last eighteen months.

Automobile Industry

in North America and Europe had slowed or stopped production due to a lack of computer chips. Major automakers like Tesla, Ford, BMW, and General Motors have all been affected. The major implication is that the global automobile industry will manufacture 4 million fewer cars by the end of 2021 than earlier planned, and it will forfeit an average of $110 billion in revenue.

Consumer Electronics

Consumer electronics such as desktop PCs and smartphones rose in demand throughout the pandemic, thanks to the shift to virtual learning among students and the rise in remote working. At the start of the pandemic, several automakers slashed their vehicle production forecasts before abandoning open semiconductor chip orders. And while the consumer electronics industry stepped in and scooped most of those microchips, the supply couldn’t catch up with the demand.

Data Centers

Most chip fabrication companies like Samsung Foundries, Global Foundries, and TSMC prioritized high-margin orders from PC and data center customers during the pandemic. And while this has given data centers a competitive edge, it isn’t to say that data centers haven’t been affected by the global chip shortage.

Some of the components data centers have struggled to source include those needed to put together their data center switching systems. These include BMC chips, capacitors, resistors, circuit boards, etc. Another challenge is the extended lead times due to wafer and substrate shortages, as well as reduced assembly capacity.

LED Lighting

LED backlights common in most display screens are powered by hard-to-find semiconductor chips. The prices of gadgets with LED lighting features are now highly-priced due to the shortage of raw materials and increased market demand. This is expected to continue up to the beginning of 2022.

Renewable Energy- Solar and Turbines

Renewable energy systems, particularly solar and turbines, rely on semiconductors and sensors to operate. The global supply chain constraints have hurt the industry and even forced some energy solutions manufacturers like Enphase Energy to

Semiconductor Trends: What to Expect Moving Forward

In response to the global chip shortage, several component manufacturers have ramped up production to help mitigate the shortages. However, top electronics and semiconductor manufacturers say the crunch will only worsen before it gets better. Most of these industry leaders speculate that the semiconductor shortage could persist into 2023.

Based on the ongoing disruption and supply chain volatility, various analysts in a recent CNBC article and Bloomberg interview echoed their views, and many are convinced that the coming year will be challenging. Here are some of the key takeaways:

Pat Gelsinger, CEO of Intel Corp., noted in April 2021 that the chip shortage would recover after a couple of years.

DigiTimes Report found that Intel and AMD server ICs and data centers have seen their lead times extend to 45 to 66 weeks.

The world’s third-largest EMS and OEM provider, Flex Ltd., expects the global semiconductor shortage to proceed into 2023.

In May 2021, Global Foundries, the fourth-largest contract semiconductor manufacturer, signed a $1.6 billion, 3-year silicon supply deal with AMD, and in late June, it launched its new $4 billion, 300mm-wafer facility in Singapore. Yet, the company says its production capacity will only increase component production earliest in 2023.

TMSC, one of the leading pure-play foundries in the industry, says it won’t meaningfully increase the component output until 2023. However, it’s optimistic that the company will ramp up the fabrication of automotive micro-controllers by 60% by the end of 2021.

From the industry insights above, it’s evident that despite the many efforts that major players put into resolving the global chip shortage, the bottlenecks will probably persist throughout 2022.

Additionally, some industry observers believe that the move by big tech companies such as Amazon, Microsoft, and Google to design their own chips for cloud and data center business could worsen the chip shortage crisis and other problems facing the semiconductor industry.

article, the authors hint that the entry of Microsoft, Amazon, and Google into the chip design market will be a turning point in the industry. These tech giants have the resources to design superior and cost-effective chips of their own, something most chip designers like Intel have in limited proportions.

Since these tech giants will become independent, each will be looking to create component stockpiles to endure long waits and meet production demands between inventory refreshes. Again, this will further worsen the existing chip shortage.

Possible Solutions

To stay ahead of the game, major industry players such as chip designers and manufacturers and the many affected industries have taken several steps to mitigate the impacts of the chip shortage.

For many chip makers, expanding their production capacity has been an obvious response. Other suppliers in certain regions decided to stockpile and limit exports to better respond to market volatility and political pressures.

Similarly, improving the yields or increasing the number of chips manufactured from a silicon wafer is an area that many manufacturers have invested in to boost chip supply by some given margin.

Here are the other possible solutions that companies have had to adopt:

Embracing flexibility to accommodate older chip technologies that may not be “state of the art” but are still better than nothing.

Leveraging software solutions such as smart compression and compilation to build efficient AI models to help unlock hardware capabilities.

LED Lighting

The latest global chip shortage has led to severe shocks in the semiconductor supply chain, affecting several industries from automobile, consumer electronics, data centers, LED, and renewables.

Industry thought leaders believe that shortages will persist into 2023 despite the current build-up in mitigation measures. And while full recovery will not be witnessed any time soon, some chip makers are optimistic that they will ramp up fabrication to contain the demand among their automotive customers.

That said, staying ahead of the game is an all-time struggle considering this is an issue affecting every industry player, regardless of size or market position. Expanding production capacity, accommodating older chip technologies, and leveraging software solutions to unlock hardware capabilities are some of the promising solutions.

Added

This article is being updated continuously. If you want to share any comments on FS switches, or if you are inclined to test and review our switches, please email us via media@fs.com or inform us on social media platforms. We cannot wait to hear more about your ideas on FS switches.

Article Source: The Chip Shortage: Current Challenges, Predictions, and Potential Solutions

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Infographic – What Is a Data Center?

Introduction

Data center design is to provide IT equipment with a high-quality, standard, safe, and reliable operating environment, fully meeting the environmental requirements for stable and reliable operation of IT devices and prolonging the service life of computer systems. Data center design is the most important part of data center construction directly relating to the success or failure of data center long term planning, so its design should be professional, advanced, integral, flexible, safe, reliable, and practical.

9 Missteps in Data Center Design

Data center design is one of the effective solutions to overcrowded or outdated data centers, while inappropriate design results in obstacles for growing enterprises. Poor planning can lead to a waste of valuable funds and more issues, increasing operating expenses. Here are 9 mistakes to be aware of when designing a data center.

Miscalculation of Total Cost

Data center operation expense is made up of two key components: maintenance costs and operating costs. Maintenance costs refer to the costs associated with maintaining all critical facility support infrastructure, such as OEM equipment maintenance contracts, data center cleaning fees, etc. Operating costs refer to costs associated with day-to-day operations and field personnel, such as the creation of site-specific operational documentation, capacity management, and QA/QC policies and procedures. If you plan to build or expand a business-critical data center, the best approach is to focus on three basic parameters: capital expenditures, operating and maintenance expenses, and energy costs. Taking any component out of the equation, you might face the case that the model does not properly align an organization’s risk profile and business spending profile.

Unspecified Planning and Infrastructure Assessment

Infrastructure assessment and clear planning are essential processes for data center construction. For example, every construction project needs to have a chain of command that clearly defines areas of responsibility and who is responsible for aspects of data center design. Those who are involved need to evaluate the potential applications of the data center infrastructure and what types of connectivity requirements they need. In general, planning involves a rack-by-rack blueprint, including network connectivity and mobile devices, power requirements, system topology, cooling facilities, virtual local and on-premises networks, third-party applications, and operational systems. For the importance of data center design, you should have a thorough understanding of the functionality before it begins. Otherwise, you’ll fall short and cost more money to maintain.

Inappropriate Design Criteria

Two missteps can send enterprises into an overspending death spiral. First of all, everyone has different design ideas, but not everyone is right. Second, the actual business is mismatched with the desired vision and does not support the setting of kilowatts per square foot or rack. Over planning in design is a waste of capital. Higher-level facilities also result in higher operational and energy costs. A data center designer establishes the proper design criteria and performance characteristics and then builds capital expenditure and operating expenses around it.

Unsuitable Data Center Site

Enterprises often need to find a perfect building location when designing a data center. If you don’t get some site-critical information, it will lead to some cases. Large users are well aware of the data center and have concerns about power availability and cost, fiber optics, and irresistible factors. Baseline users often have business model shells in their core business areas that decide whether they need to build or refurbish. Hence, premature site selection or unreasonable geographic location will fail to meet the design requirements.

Pre-design Space Planning

It is also very important to plan the space capacity inside the data center. The raised floor to support ratio can be as high as 1 to 1, while the mechanical and electrical equipment needs enough space to accommodate. In addition, the planning of office and IT equipment storage areas also needed to be considered. Therefore, it is very critical to estimate and plan the space capacity during data center design. Estimation errors can make the design of a data center unsuitable for the site space, which means suspending project re-evaluation and possibly repurchasing components.

Mismatched Business Goals

Enterprises need to clearly understand their business goals when debugging a data center so that they can complete the data center design. After meeting the business goals, something should be considered, such as which specific applications the data center supports, additional computing power, and later business expansion. Additionally, enterprises need to communicate these goals to data center architects, engineers, and builders to ensure that the overall design meets business needs.

Design Limitations

The importance of modular design is well-publicized in the data center industry. Although the modular approach refers to adding extra infrastructure in an immediate mode to preserve capital, it doesn’t guarantee complete success. Modular and flexible design is the key to long-term stable operation, also meets your data center plans. On the power system, you have to take note of adding UPS (Uninterruptible Power Supply) capacity to existing modules without system disruption. Input and output distribution system design shouldn’t be overlooked, it can allow the data center to adapt to any future changes in the underlying construction standards.

Improper Data Center Power Equipment

To design a data center to maximize equipment uptime and reduce power consumption, you must choose the right power equipment based on the projected capacity. Typically, you might use redundant computing to predict triple server usage to ensure adequate power, which is a waste. Long-term power consumption trends are what you need to consider. Install automatic power-on generators and backup power sources, and choose equipment that can provide enough power to support the data center without waste.

Over-complicated Design

In many cases, redundant targets introduce some complexity. If you add multiple ways to build a modular system, things can quickly get complicated. The over-complexity of data center design means more equipment and components, and these components are the source of failure, which can cause problems such as:

• Human error. Data statistics errors lead to system data vulnerability and increase operational risks.
• Expensive. In addition to equipment and components, the maintenance of components failure also incurs more charges.
• Design concept. If maintainability wasn’t considered by the data center design when the IT team has the requirements of operating or servicing, system operational normality even human security get impacts.

Conclusion

Avoid the nine missteps above to find design solutions for data center IT infrastructure and build a data center that suits your business. Data center design missteps have some impacts on enterprises, such as business expansion, infrastructure maintenance, and security risks. Hence, all infrastructure facilities and data center standards must be rigorously estimated during data center design to ensure long-term stable operation within a reasonable budget.

Article Source: The Most Common Data Center Design Missteps

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Data Center White Space and Gray Space

As the global chip shortage let rip, many chip manufacturers have to slow or even halt semiconductor production. Makers of all kinds of electronics such as switches, PCs, servers are all scrambling to get enough chips in the pipeline to match the surging demand for their products. Every manufacturer, supplier and solution provider in datacenter industry is feeling the impact of the ongoing chip scarcity. However, relief is nowhere in sight yet.

What’s Happening?

Due to the rise of AI and cloud computing, datacenter chips have been a highly charged topic in recent times. As networking switches and modern servers, indispensable equipment in datacenter applications, use more advanced components than an average consumer’s PC, naturally when it comes to chip manufacturers and suppliers, data centers are given the top priority. However, with the demand for data center machines far outstripping supply, chip shortages may continue to be pervasive across the next few years. Coupled with economic uncertainties caused by the pandemic, it further puts stress on datacenter management.

According to a report from the Dell’Oro Group, robust datacenter switch sales over the past year could foretell a looming shortage. As the mismatch in supply and demand keeps growing, enterprises looking to buy datacenter switches face extended lead times and elevated costs over the course of the next year.

“So supply is decreasing and demand is increasing,” said Sameh Boujelbene, leader of the analyst firm’s campus and data-center research team. “There’s a belief that things will get worse in the second half of the year, but no consensus on when it’ll start getting better.”

Back in March, Broadcom said that more than 90% of its total chip output for 2021 had already been ordered by customers, who are pressuring it for chips to meet booming demand for servers used in cloud data centers and consumer electronics such as 5G phones.

“We intend to meet such demand, and in doing so, we will maintain our disciplined process of carefully reviewing our backlog, identifying real end-user demand, and delivering products accordingly,” CEO Hock Tan said on a conference call with investors and analysts.

Major Implications

Extended Lead Times

Arista Networks, one of the largest data center networking switch vendors and a supplier of switches to cloud providers, foretells that switch-silicon lead times will be extended to as long as 52 weeks.

“The supply chain has never been so constrained in Arista history,” the company’s CEO, Jayshree Ullal, said on an earnings call. “To put this in perspective, we now have to plan for many components with 52-week lead time. COVID has resulted in substrate and wafer shortages and reduced assembly capacity. Our contract manufacturers have experienced significant volatility due to country specific COVID orders. Naturally, we’re working more closely with our strategic suppliers to improve planning and delivery.”

Hock Tan, CEO of Broadcom, also acknowledged on an earnings call that the company had “started extending lead times.” He said, “part of the problem was that customers were now ordering more chips and demanding them faster than usual, hoping to buffer against the supply chain issues.”

Elevated Cost

Vertiv, one of the biggest sellers of datacenter power and cooling equipment, mentioned it had to delay previously planned “footprint optimization programs” due to strained supply. The company’s CEO, Robert Johnson, said on an earnings call, “We have decided to delay some of those programs.”

Supply chain constraints combined with inflation would cause “some incremental unexpected costs over the short term,” he said, “To share the cost with our customers where possible may be part of the solution.”

“Prices are definitely going to be higher for a lot of devices that require a semiconductor,” says David Yoffie, a Harvard Business School professor who spent almost three decades serving on the board of Intel.

Conclusion

There is no telling that how the situation will continue playing out and, most importantly, when supply and demand might get back to normal. Opinions vary on when the shortage will end. The CEO of chipmaker STMicro estimated that the shortage will end by early 2023. Intel CEO Patrick Gelsinger said it could last two more years.

As a high-tech network solutions and services provider, FS has been actively working with our customers to help them plan for, adapt to, and overcome the supply chain challenges, hoping that we can both ride out this chip shortage crisis. At least, we cannot lose hope, as advised by Bill Wyckoff, vice president at technology equipment provider SHI International, “This is not an ‘all is lost’ situation. There are ways and means to keep your equipment procurement and refresh plans on track if you work with the right partners.”

Article Source: Impact of Chip Shortage on Datacenter Industry

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Infographic – What Is a Data Center?FacebookTwitterEmail分享

Nowadays, with the advent of the 5G era and the advancement of technology, more and more enterprises rely on IT for almost any choice. Therefore, their demand for better data center services has increased dramatically.

However, due to the higher capital and operating costs caused by the cluttered distribution of equipment in data centers, the space has become one of the biggest factors restricting data centers. In order to solve that problem, it’s necessary to optimize the utilization of existing space, for example, to consolidate white space and gray space in data centers.

What is data center white space?

Data center white space refers to the space where IT equipment and infrastructure are located. It includes servers, storage, network gear, racks, air conditioning units, power distribution systems.

White space is usually measured in square feet, ranging anywhere from a few hundred to a hundred thousand square feet. It can be either raised floor or hard floor (solid floor). Raised floors are developed to provide locations for power cabling, tracks for data cabling, cold air distribution systems for IT equipment cooling, etc. It can have access to all elements easily. Different from raised floors, cooling and cabling systems for hard floors are installed overhead. Today, there is a trend from raised floors to hard floors.

Typically, the white space area is the only productive area where an enterprise can utilize the data center space. Moreover, online activities like working from home have increased rapidly in recent years, especially due to the impact of COVID-19, which has increased business demand for data center white space. Therefore, the enterprise has to design data center white space with care.

What is data center gray space?

Different from data center white space, data center gray space refers to the space where back-end equipment is located. This includes switchgear, UPS, transformers, chillers, and generators.

The existence of gray space is to support the white space, therefore the amount of gray space in equipment is determined by the space assigned for data center white space. The more white space is needed, the more backend infrastructure is required to support it.

How to improve the efficiency of space?

Building more data centers and consuming more energy is not a good option for IT organizations to make use of data center space. To increase data center sustainability and reduce energy costs, it’s necessary to use some strategies to combine data center white space and gray space, thus optimizing the efficiency of data center space.

White Space Efficiency Strategies

• Virtualized technology: The technology of virtualization can integrate many virtual machines into physical machines, reducing physical hardware and saving lots of data center space. Virtualization management systems such as VMware and Hyper V can create a virtualized environment.
• Cloud computing resources: With the help of the public cloud, enterprises can transfer data through the public internet, thus reducing their needs for physical servers and other IT infrastructure.
• Data center planning: DCIM software, a kind of data center infrastructure management tool, can help estimate current and future power and server needs. It can also help data centers track and manage resources and optimize their size to save more space.
• Monitor power and cooling capacity: In addition to the capacity planning about space, monitoring power, and cooling capacity is also necessary to properly configure equipment.

Gray Space Efficiency Strategies

• State-of-art technologies: Technologies like flywheels can increase the power of the machine, reducing the number of batteries required for the power supply. Besides, the use of solar panels can reduce data center electricity bills. And water cooling can also help reduce the costs of cooling solutions.

Compared with white space efficiency techniques, grace space efficiency strategies are pretty less. However, the most efficient plan is to combine data center white space with gray space. By doing so, enterprises can realize the optimal utilization of data center space.

Article Source: Data Center White Space and Gray Space

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What Is Data Center Virtualization?

The Internet is where we store and receive a huge amount of information. Where is all the information stored? The answer is data centers. At its simplest, a data center is a dedicated place that organizations use to house their critical applications and data. Here is a short look into the basics of data centers. You will get to know the data center layout, the data pathway, and common types of data centers.

To know more about data centers, click here.

Article Source: Infographic – What Is a Data Center?

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Infographic — Evolution of Data Centers

The rise of the digital economy has promoted the rapid and vigorous development of industries like cloud computing, Internet of Things, and big data, which have put forward higher requirements for data centers. The drawbacks of traditional data centers have emerged gradually, which are increasingly unable to meet the needs of the market. The prefabricated containerized data center meets the current market demand and will usher in a period of rapid development.

What Is a Containerized Data Center?

A containerized data center comes equipped with data center infrastructures housed in a container. There are different types of containerized data centers, ranging from simple IT containers to comprehensive all-in-one systems integrating the entire physical IT infrastructure.

Generally, a containerized data center includes networking equipment, servers, cooling system, UPS, cable pathways, storage devices, lighting and physical security systems.

Pros of Containerized Data Centers

Portability & Durability

Containerized data centers are fabricated in a manufacturing facility and shipped to the end-user in containers. Due to the container appearance, they are flexible to move and cost-saving compared to traditional data centers. What’s more, containers are dustproof, waterproof, and shock-resistant, making containerized data centers suitable for various harsh environments.

Rapid Deployment

Unlike traditional data centers with limited flexibility and difficult management, containerized data centers are prefabricated and pretested at the factory, and are transported to the deployment site for direct set-up. With access to utility power, network and water, the data center can work well. Therefore, the on-site deployment period for containerized data centers is substantially shortened to 2~3 months, demonstrating rapid and flexible deployment.

Energy Efficiency

Containerized data centers are designed for energy efficiency, which effectively limits ongoing operational costs. They enable power and cooling systems to match capacity and workload well, improving work efficiency and reducing over-configuration. More specifically, containerized data centers adopt in-row cooling systems to deliver air to adjacent hotspots with strict airflow management, which greatly improves cold air utilization, saves space and electricity costs in the server room, and reduces power usage efficiency (PUE).

High Scalability

Because of its unique modular design, a containerized data center is easy to install and scale up. More data centers can be added to the modular architecture of containerized data centers according to the requirements to optimize the IT configuration in a data center. With high scalability, containerized data centers can meet the changing demands of the organization rapidly and effortlessly.

Cons of Containerized Data Centers

Limited Computing Performance: Although it contains the entire IT infrastructure, a containerized data center still lacks the same computing capability as a traditional data center.

Low Security: Isolated containerized data centers are more vulnerable to break-ins than data center buildings. And without numerous built-in redundancies, an entire containerized data center can be shut down by a single point of failure.

Lack of Availability: It is challenging and expensive to provide utilities and networks for containerized data centers placed in edge areas.

Conclusion

Despite some shortcomings, containerized data centers have obvious advantages over traditional data centers. From the perspective of both current short-term investment and future long-term operating costs, containerized data centers have become the future trend of data center construction at this stage.

Article Source: What Is a Containerized Data Center: Pros and Cons

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