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What Is OpenFlow and How Does It Work?

OpenFlow is a communication protocol originally introduced by researchers at Stanford University in 2008. It allows the control plane to interact with the forwarding plane of a network device, such as a switch or router.

OpenFlow separates the forwarding plane from the control plane. This separation allows for more flexible and programmable network configurations, making it easier to manage and optimize network traffic. Think of it like a traffic cop directing cars at an intersection. OpenFlow is like the communication protocol that allows the traffic cop (control plane) to instruct the cars (forwarding plane) where to go based on dynamic conditions.

How Does OpenFlow Relate to SDN?

OpenFlow is often considered one of the key protocols within the broader SDN framework. Software-Defined Networking (SDN) is an architectural approach to networking that aims to make networks more flexible, programmable, and responsive to the dynamic needs of applications and services. In a traditional network, the control plane (deciding how data should be forwarded) and the data plane (actually forwarding the data) are tightly integrated into the network devices. SDN decouples these planes, and OpenFlow plays a crucial role in enabling this separation.

OpenFlow provides a standardized way for the SDN controller to communicate with the network devices. The controller uses OpenFlow to send instructions to the switches, specifying how they should forward or process packets. This separation allows for more dynamic and programmable network management, as administrators can control the network behavior centrally without having to configure each individual device.

” Also Check – What Is Software-Defined Networking (SDN)?

How Does OpenFlow Work?

The OpenFlow architecture consists of controllers, network devices and secure channels. Here’s a simplified overview of how OpenFlow operates

Controller-Device Communication:

An SDN controller communicates with network devices (usually switches) using the OpenFlow protocol.
This communication is typically over a secure channel, often using the OpenFlow over TLS (Transport Layer Security) for added security.

Flow Table Entries:

An OpenFlow switch maintains a flow table that contains information about how to handle different types of network traffic. Each entry in the flow table is a combination of match fields and corresponding actions.

Packet Matching:

When a packet enters the OpenFlow switch, the switch examines the packet header and matches it against the entries in its flow table.
The match fields in a flow table entry specify the criteria for matching a packet (e.g., source and destination IP addresses, protocol type).

Flow Table Lookup:

The switch performs a lookup in its flow table to find the matching entry for the incoming packet.

Actions:

Once a match is found, the corresponding actions in the flow table entry are executed. Actions can include forwarding the packet to a specific port, modifying the packet header, or sending it to the controller for further processing.

Controller Decision:

If the packet doesn’t match any existing entry in the flow table (a “miss”), the switch can either drop the packet or send it to the controller for a decision.
The controller, based on its global view of the network and application requirements, can then decide how to handle the packet and send instructions back to the switch.

Dynamic Configuration:

Administrators can dynamically configure the flow table entries on OpenFlow switches through the SDN controller. This allows for on-the-fly adjustments to network behavior without manual reconfiguration of individual devices.

” Also Check – Open Flow Switch: What Is It and How Does It Work

What are the Application Scenarios of OpenFlow?

OpenFlow has found applications in various scenarios. Some common application scenarios include:

Data Center Networking

Cloud data centers often host multiple virtual networks, each with distinct requirements. OpenFlow supports network virtualization by allowing the creation and management of virtual networks on shared physical infrastructure. In addition, OpenFlow facilitates dynamic load balancing across network paths in data centers. The SDN controller, equipped with a holistic view of the network, can distribute traffic intelligently, preventing congestion on specific links and improving overall network efficiency.

Traffic Engineering

Traffic engineering involves designing networks to be resilient to failures and faults. OpenFlow allows for the dynamic rerouting of traffic in the event of link failures or congestion. The SDN controller can quickly adapt and redirect traffic along alternative paths, minimizing disruptions and ensuring continued service availability.

Networking Research Laboratory

OpenFlow provides a platform for simulating and emulating complex network scenarios. Researchers can recreate diverse network environments, including large-scale topologies and various traffic patterns, to study the behavior of their proposed solutions. Its programmable and centralized approach makes it an ideal platform for researchers to explore and test new protocols, algorithms, and network architectures.

In conclusion, OpenFlow has emerged as a linchpin in the world of networking, enabling the dynamic, programmable, and centralized control that is the hallmark of SDN. Its diverse applications make it a crucial technology for organizations seeking agile and responsive network solutions in the face of evolving demands. As the networking landscape continues to evolve, OpenFlow stands as a testament to the power of innovation in reshaping how we approach and manage our digital connections.

What Is Network Edge?

The concept of the network edge has gained prominence with the rise of edge computing, which involves processing data closer to the source of data generation rather than relying solely on centralized cloud servers. This approach can reduce latency, improve efficiency, and enhance the overall performance of applications and services. In this article, we’ll introduce what the network edge is, explore how it differs from edge computing, and describe the benefits that network edge brings to enterprise data environments.

What is Network Edge?

At its essence, the network edge represents the outer periphery of a network. It’s the gateway where end-user devices, local networks, and peripheral devices connect to the broader infrastructure, such as the internet. It’s the point at which a user or device accesses the network or the point where data leaves the network to reach its destination. the network edge is the boundary between a local network and the broader network infrastructure, and it plays a crucial role in data transmission and connectivity, especially in the context of emerging technologies like edge computing.

What is Edge Computing and How Does It Differ from Network Edge?

The terms “network edge” and “edge computing” are related concepts, but they refer to different aspects of the technology landscape.

What is Edge Computing?

Edge computing is a distributed computing paradigm that involves processing data near the source of data generation rather than relying on a centralized cloud-based system. In traditional computing architectures, data is typically sent to a centralized data center or cloud for processing and analysis. However, with edge computing, the processing is performed closer to the “edge” of the network, where the data is generated. Edge computing complements traditional cloud computing by extending computational capabilities to the edge of the network, offering a more distributed and responsive infrastructure.

” Also Check – What Is Edge Computing?

What is the Difference Between Edge Computing and Network Edge?

While the network edge and edge computing share a proximity in their focus on the periphery of the network, they address distinct aspects of the technological landscape. The network edge is primarily concerned with connectivity and access, and it doesn’t specifically imply data processing or computation. Edge computing often leverages the network edge to achieve distributed computing, low-latency processing and efficient utilization of resources for tasks such as data analysis, decision-making, and real-time response.

Network Edge vs. Network Core: What’s the Difference?

Another common source of confusion is discerning the difference between the network edge and the network core.

What is Network Core?

The network core, also known as the backbone network, is the central part of a telecommunications network that provides the primary pathway for data traffic. It serves as the main infrastructure for transmitting data between different network segments, such as from one city to another or between major data centers. The network core is responsible for long-distance, high-capacity data transport, ensuring that information can flow efficiently across the entire network.

What is the Difference between the Network Edge and the Network Core?

The network edge is where end-users and local networks connect to the broader infrastructure, and edge computing involves processing data closer to the source, the network core is the backbone that facilitates the long-distance transmission of data between different edges, locations, or network segments. It is a critical component in the architecture of large-scale telecommunications and internet systems.

Advantages of Network Edge in Enterprise Data Environments

Let’s turn our attention to the practical implications of edge networking in enterprise data environments.

Efficient IoT Deployments

In the realm of the Internet of Things (IoT), where devices generate copious amounts of data, edge networking shines. It optimizes the processing of IoT data locally, reducing the load on central servers and improving overall efficiency.

Improved Application Performance

Edge networking enhances the performance of applications by processing data closer to the point of use. This results in faster application response times, contributing to improved user satisfaction and productivity.

Enhanced Reliability

Edge networks are designed for resilience. Even if connectivity to the central cloud is lost, local processing and communication at the edge can continue to operate independently, ensuring continuous availability of critical services.

Reduced Network Costs

Local processing in edge networks diminishes the need for transmitting large volumes of data over the network. This not only optimizes bandwidth usage but also contributes to cost savings in network infrastructure.

Privacy and Security

Some sensitive data can be processed locally at the edge, addressing privacy and security concerns by minimizing the transmission of sensitive information over the network. Improved data privacy and security compliance, especially in industries with stringent regulations.

In this era of digital transformation, the network edge stands as a gateway to a more connected, efficient, and responsive future.

How Does Edge Switch Make an Importance in Edge Network?

Things You Must Know: 200G vs. 400G Ethernet in Data Centers

With the rise of high data rate applications such as 5G and cloud computing, 200G and 400G Ethernet are getting much attention in data centers. In most cases, 400G Ethernet is more competitive than 200G Ethernet with regards to the applications in data centers. In this post, we are about to reveal how 400G Ethernet outperforms 200G Ethernet in several aspects.

400G Ethernet vs 200G Ethernet: More Comprehensive Standardization

During the evolution of the IEEE protocol standard, the 200G standard was issued later than the 400G standard. The 400G standard was first proposed in 2013 by IEEE 802.3 Working Group and was approved in 2017 with IEEE 802.3bs 400G Ethernet standard. While the 200G standard was proposed and approved in 2015 and 2018 respectively. And the 200G single-mode specification is generally based on the 400G single-mode specification but halved the 400G one. With the fast upgrades of 400G technology and its products due to market needs, the 400G standard is more comprehensive and maturer than that of 200G.

Common Use of 100G Server Promotes More 400G Ethernet Applications

Network switch speed is always driven by server uplink speed. No matter in the past or at present, one-to-four structure is often used to connect switches and servers to increase the port density of switches. And this structure is likely to be adopted in the future as well. Then, how to choose between the 200G Ethernet and 400G Ethernet mainly depends on the server we use.

How to Connect Servers in Data Centers.jpg

According to Crehan research and forecast, the momentum of 100G servers surpassed that of 50G servers since 2020. That means, most network operators are likely to use 100G server connection rather than 50G. And 100G servers would become the mainstream according to the trends during 2020-2023. In other words, one could skip 200G and choose 400G directly with 100G server deployed.

Optical Transceiver Market Drives 400G Ethernet

There are two main factors that push 400G Ethernet more popular than 200G Ethernet in the optical transceiver market. One is the module supply, another is the cost.

400G Optical Transceivers Gain More Market Supplies and Acceptance

Normally, the early adoption of 400G is to support the rise of 200G long-haul for aggressive DCI network builds. It makes 400G possible in metro networks and supports 3x the distance for 200G wavelengths. WIth further development, 400G transceivers are more favorable among manufacturers. Many suppliers pay more attention to 400G Ethernet rather than 200G. For example, Senko’s new CS connector is specifically designed for 400G data center optimization. Actually, all things have reasons. Even if the total cost of 200G transceiver and 400G transceiver is the same, the cost and power consumption per bit of 400G transceiver is half of the 200G’s because of the doubled bandwidth of 400G. More importantly, the total revenue data among 100G, 200G and 400G shows that 400G is far beyond 200G in the whole market.

Total Revenue for 100G 200G and 400G Transceivers.jpg

According to shipment data of the top 8 suppliers gathered by Omdia, the 400G transceiver market is more prosperous than that of 200G. There are more options for users in 400G deployment. Although the top 8 suppliers all provide 200G and 400G transceivers, 200G transceivers only offer 100m SR4 and 2km FR4 while 400G transceivers could offer more options like SR8 100m, DR4 500m, FR4 2km, LR4 10km, and ER8 40km, etc. In addition, 400G products, such as 400G DAC and 400G DAC breakout cables and solutions are maturer and more perfect than 200G because of their earlier release.

Supplier Support	Finisar	Innolight	FIT	Lumentum	Accelink	Source Photonics	AOI	Hisense
200G SR4		√			√
200G FR4	√	√		√			√
400G SR8	√	√	√	√	√	√	√	√
400G SR4.2	√		√					√
400G DR4	√	√	√	√	√	√	√	√
400G FR4	√	√	√	√	√	√	√	√
400G ZR				√

400G Optical Modules Support More Applications With Fewer Cost

Compared to 200G transceivers, 400G transceivers could support more applications including DCI and 200G applications. And they can double the traffic carrying capacity between applications than 100G/200G solutions. With 400G solutions, fewer transponders will be needed, resulting in less transportation and operating costs. This will make the 400G market more lively in return.

400G Ethernet Is more Suitable for Future Network Upgrades

The 200G optical modules will include two main form factors, namely QSFP-DD and CFP2. The 400G optical transceivers will mainly include QSFP-DD and OSFP packages. Since the OSFP is expected to offer a better path to 800G and higher transmission rates, 400G transceiver is more suitable and convenient for future network migration.

Conclusion

From the current analysis and evidence above, 400G Ethernet is more competitive than 200G Ethernet in Ethernet standardization, 100G server connection, optical transceiver market and future network upgrades. There is no need to hesitate between 200G Ethernet and 400G Ethernet. Choosing 400G Ethernet and products is a wise decision not only for the current but for the long-term future.

Article Source

https://community.fs.com/blog/200g-vs-400g-ethernet.html

https://community.fs.com/blog/optical-transceiver-market-200g-400g.html

https://community.fs.com/blog/400g-etherent-market.html

Data Center Layout

Data center layout design is a challenging task requiring expertise, time, and effort. However, the data center can accommodate in-house servers and many other IT equipment for years if done properly. When designing such a modest facility for your company or cloud-service providers, doing everything correctly is crucial.

As such, data center designers should develop a thorough data center layout. A data center layout comes in handy during construction as it outlines the best possible placement of physical hardware and other resources in the center.

What Is Included in a Data Center Floor Plan?

The floor plan is an important part of the data center layout. Well-designed floor plan boosts the data centers’ cooling performance, simplifies installation, and reduces energy needs. Unfortunately, most data center floor plans are designed through incremental deployment that doesn’t follow a central plan. A data center floor plan influences the following:

The power density of the data center
The complexity of power and cooling distribution networks
Achievable power density
Electrical power usage of the data center

Below are a few tips to consider when designing a data center floor plan:

Balance Density with Capacity

“The more, the better” isn’t an applicable phrase when designing a data center. You should remember the tradeoff between space and power in data centers and consider your options keenly. If you are thinking of a dense server, ensure that you have enough budget. Note that a dense server requires more power and advanced cooling infrastructure. Designing a good floor plan allows you to figure this out beforehand.

Consider Unique Layouts

There is no specific rule that you should use old floor layouts. Your floor design should be based on specific organizational needs. If your company is growing exponentially, your data center needs will keep changing too. As such, old layouts may not be applicable. Browse through multiple layouts and find one that perfectly suits your facility.

Think About the Future

A data center design should be based on specific organizational needs. Therefore, while you may not need to install or replace some equipment yet, you might have to do so after a few years due to changing facility needs. Simply put, your data center should accommodate company needs several years in the future. This will ease expansion.

Floor Planning Sequence

A floor or system planning sequence outlines the flow of activity that transforms the initial idea into an installation plan. The floor planning sequence involves the following five tasks:

Determining IT Parameters

The floor plan begins with a general idea that prompts the company to change or increase its IT capabilities. From the idea, the data center’s capacity, growth plan, and criticality are then determined. Note that these three factors are characteristics of the IT function component of the data center and not the physical infrastructure supporting it. Since the infrastructure is the ultimate outcome of the planning sequence, these parameters guide the development and dictate the data centers’ physical infrastructure requirements.

Developing System Concept

This step uses the IT parameters as a foundation to formulate the general concept of data center physical infrastructure. The main goal is to develop a reference design that embodies the desired capacity, criticality, and scalability that supports future growth plans. However, with the diverse nature of these parameters, more than a thousand physical infrastructure systems can be drawn. Designers should pick a few “good” designs from this library.

Determining User Requirements

User requirements should include organizational needs that are specific to the project. This phase should collect and evaluate organizational needs to determine if they are valid or need some adjustments to avoid problems and reduce costs. User requirements can include key features, prevailing IT constraints, logistical constraints, target capacity, etc.

Generating Specifications

This step takes user requirements and translates them into detailed data center design. Specifications provide a baseline for rules that should be followed in the last step, creating a detailed design. Specifications can be:

Standard specifications – these don’t vary from one project to another. They include regulatory compliance, workmanship, best practices, safety, etc.
User specifications – define user-specific details of the project.

Generating a Detailed Design

This is the last step of the floor planning sequence that highlights:

A detailed list of the components
Exact floor plan with racks, including power and cooling systems
Clear installation instructions
Project schedule

If the complete specifications are clear enough and robust, a detailed design can be automatically drawn. However, this requires input from professional engineers.

Principles of Equipment Layout

Datacenter infrastructure is the core of the entire IT architecture. Unfortunately, despite this importance, more than 70% of network downtime stems from physical layer problems, particularly cabling. Planning an effective data center infrastructure is crucial to the data center’s performance, scalability, and resiliency.

Nonetheless, keep the following principles in mind when designing equipment layout.

Control Airflow Using Hot-aisle/Cold-aisle Rack Layout

The principle of controlling airflow using a hot-aisle/cold-aisle rack layout is well defined in various documents, including the ASHRAE TC9.9 Mission Critical Facilities. This principle aims to maximize the separation of IT equipment exhaust air and fresh intake air by placing cold aisles where intakes are present and hot aisles where exhaust air is released. This reduces the amount of hot air drawn through the equipment’s air intake. Doing this allows data centers to achieve power densities of up to 100%.

Provide Safe and Convenient Access Ways

Besides being a legal requirement, providing safe and convenient access ways around data center equipment is common sense. The effectiveness of a data center depends on how row layouts can double up as aisles and access ways. Therefore, designers should factor in the impact of column locations. A column can take up three or more rack locations if it falls within the row of racks. This can obstruct the aisle and lead to the complete elimination of the row.

Align Equipment With Floor and Ceiling Tile Systems

Floor and ceiling tiling systems also play a role in air distribution systems. The floor grille should align with racks, especially in data centers with raised floor plans. Misaligning floor grids and racks can compromise airflow significantly.

You should also align the ceiling tile grid to the floor grid. As such, you shouldn’t design or install the floor until the equipment layout has been established.

Plan the Layout in Advance

The first stages of deploying data center equipment heavily determine subsequent stages and final equipment installation. Therefore, it is better to plan the entire data center floor layout beforehand.

How to Plan a Server Rack Installation

Server racks should be designed to allow easy and secure access to IT servers and networking devices. Whether you are installing new server racks or thinking of expanding, consider the following:

Rack Location

When choosing a rack for your data center, you should consider its location in the room. It should also leave enough space in the sides, front, rear, and top for easy access and airflow. As a rule of thumb, a server rack should occupy at least six standard floor tiles. Don’t install server racks and cabinets below or close to air conditioners to protect them from water damage in case of leakage.

Rack Layout

Rack density should be considered when determining the rack layout. More free space within server racks allows for more airflow. As such, you can leave enough vertical space between servers and IT devices to boost cooling. Since hot air rises, place heat-sensitive devices, such as UPS batteries, at the bottom of server racks, heavy devices should also be placed at the bottom.

Cable Layout

Well-planned rack layout is more than a work of art. Similarly, an excellent cable layout should leverage cable labeling and management techniques to ease the identification of power and network cables. Cables should have markings at both ends for easy identification. Avoid marking them in the middle. Your cable management system should also have provisions for future additions or removal.

Conclusion

Designing a data center layout is challenging for both small and established IT facilities. Building or upgrading data centers is often perceived to be intimidating and difficult. However, developing a detailed data center layout can ease everything. Remember that small changes in the plan during installation lead to costly consequences downstream.

Article Source: Data Center Layout

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Why Green Data Center Matters

Background

Green data centers appear in the concept of enterprise construction, due to the continuous growth of new data storage requirements and the steady enhancement of green environmental protection awareness. Newly retained data must be protected, cooled, and transferred efficiently. This means that the huge energy demands of data centers present challenges in terms of cost and sustainability, and enterprises are increasingly concerned about the energy demands of their data centers. It can be seen that sustainable and renewable energy resources have become the development trend of green data centers.

Green Data Center Is a Trend

A green data center is a facility similar to a regular data center that hosts servers to store, manage, and disseminate data. It is designed to minimize environmental impact by providing maximum energy efficiency. Green data centers have the same characteristics as typical data centers, but the internal system settings and technologies can effectively reduce energy consumption and carbon footprints for enterprises.

The internal construction of a green data center requires the support of a series of services, such as cloud services, cable TV services, Internet services, colocation services, and data protection security services. Of course, many enterprises or carriers have equipped their data centers with cloud services. Some enterprises may also need to rely on other carriers to provide Internet and related services.

According to market trends, the global green data center market is worth around $59.32 billion in 2021 and is expected to grow at a CAGR of 23.5% in the future to 2026. It also shows that the transition to renewable energy sources is accelerating because of the growth of green data centers.

As the growing demand for data storage drives the modernization of data centers, it also places higher demands on power and cooling systems. On the one hand, data centers need to convert non-renewable energy into electricity to generate electricity, resulting in rising electricity costs; on the other hand, some enterprises need to complete the construction of cooling facilities and server cleaning through a lot of water, all of which are ample opportunities for the green data center market. For example, Facebook and Amazon continue to expand their businesses, which has also increased the need for data storage of global companies. These enterprises need a lot of data to complete the analysis of potential customers, but these data processing needs will require a lot of energy. Therefore, the realization of green data centers has become an urgent need for enterprises to solve these problems, and this can also bring more other benefits to enterprises.

Green Data Center Benefits

The green data center concept has grown rapidly in the process of enterprise data center development. Many businesses prefer alternative energy solutions for their data centers, which can bring many benefits to the business. The benefits of green data centers are as follows.

Energy Saving

Green data centers are designed not only to conserve energy, but also to reduce the need for expensive infrastructure to handle cooling and power needs. Sustainable or renewable energy is an abundant and reliable source of energy that can significantly reduce power usage efficiency (PUE). The reduction of PUE enables enterprises to use electricity more efficiently. Green data centers can also use colocation services to decrease server usage, lower water consumption, and reduce the cost of corporate cooling systems.

Cost Reduction

Green data centers use renewable energy to reduce power consumption and business costs through the latest technologies. Shutting down servers that are being upgraded or managed can also help reduce energy consumption at the facility and control operating costs.

Environmental Sustainability

Green data centers can reduce the environmental impact of computing hardware, thereby creating data center sustainability. The ever-increasing technological development requires the use of new equipment and technologies in modern data centers, and the power consumption of these new server devices and virtualization technologies reduces energy consumption, which is environmentally sustainable and brings economic benefits to data center operators.

Enterprise Social Image Enhancement

Today, users are increasingly interested in solving environmental problems. Green data center services help businesses resolve these issues quickly without compromising performance. Many customers already see responsible business conduct as a value proposition. Enterprises, by meeting compliance, regulatory requirements and regulations of the corresponding regions through the construction of green data centers, improve the image of their own social status.

Reasonable Use of Resources

In an environmentally friendly way, green data centers can allow enterprises to make better use of various resources such as electricity, physical space, and heat, integrating the internal facilities of the data center. It promotes the efficient operation of the data center while achieving rational utilization of resources.

5 Ways to Create a Green Data Center

After talking about the benefits of a green data center, then how to build a green data center. Here are a series of green data center solutions.

Virtualization extension: Enterprises can build a virtualized computer system with the help of virtualization technology, and run multiple applications and operating systems through fewer servers, thereby realizing the construction of green data centers.
Renewable energy utilization: Enterprises can opt for solar panels, wind turbines or hydroelectric plants that can generate energy to power backup generators without any harm to the environment.
Enter eco mode: Using an Alternating current USPs is one way to switch eco mode. This setup can significantly improve data center efficiency and PUE. Alternatively, enterprises can reuse equipment, which not only saves money, but also eliminates unnecessary emissions from seeping into the atmosphere.
Optimized cooling: Data center infrastructure managers can introduce simple and implementable cooling solutions, such as deploying hot aisle/cold aisle configurations. Data centers can further accelerate cooling output by investing in air handlers and coolers, and installing economizers that draw outside air from the natural environment to build green data center cooling systems.
DCIM and BMS systems: DCIM software and BMS software can help data centers managers identify and document ways to use more efficient energy, helping data centers become more efficient and achieve sustainability goals.

Conclusion

Data center sustainability means reducing energy/water consumption and carbon emissions to offset increased computing and mobile device usage to keep business running smoothly. The development of green data centers has become an imperative development trend, and it also caters to the green goals of global environmental protection. As a beneficiary, enterprises can not only save operating costs, but also effectively reduce energy consumption. This is also an important reason for the construction of green data centers.

Article Source: Why Green Data Center Matters

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