Distributed Core Architecture Using Dell Networking Z9000 and S4810 Switches

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1 Distributed Core Architecture Using Dell Networking Z9000 and S4810 Switches

2 THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY, AND MAY CONTAIN TYPOGRAPHICAL ERRORS AND TECHNICAL INACCURACIES. THE CONTENT IS PROVIDED AS IS, WITHOUT EXPRESS OR IMPLIED WARRANTIES OF ANY KIND Dell Inc. All rights reserved. Reproduction of this material in any manner whatsoever without the express written permission of Dell Inc. is strictly forbidden. For more information, contact Dell. Dell, the DELL logo, and the DELL badge, PowerConnect, and PowerVault are trademarks of Dell Inc. Symantec and the SYMANTEC logo are trademarks or registered trademarks of Symantec Corporation or its affiliates in the US and other countries. Microsoft, Windows, Windows Server, and Active Directory are either trademarks or registered trademarks of Microsoft Corporation in the United States and/or other countries. Other trademarks and trade names may be used in this document to refer to either the entities claiming the marks and names or their products. Dell Inc. disclaims any proprietary interest in trademarks and trade names other than its own. April 2012 Page ii

3 Contents Executive Summary... 3 Conventional Data Center Architecture... 4 Challenges with Chassis Based Core Architecture... 4 Data Center Requirements... 5 Distributed Core Fabric... 6 Clos leaf-spine architecture... 6 Benefits of Distributed Core Architecture... 7 Distributed Core Fabric Design Considerations... 7 Dell Distributed Core Fabric Solution... 8 Dell Networking Z9000 and S4810 Switches... 8 Dell Fabric Manager... 9 Distributed Core Fabric Design Types Non-blocking Distributed Core with 40GbE Fabric Interconnects (Extra Large Design) Over-Subscribed Distributed Core with 40GbE Fabric Interconnects (Large Design) Over-subscribed Distributed Core with 10GbE Fabric Interconnects (Medium Design) Non-blocking Distributed Core with 10GbE Fabric Interconnects (Small Design) Distributed Core Connectivity Options Workload Specific Design and Implementation Containerized Data Center Core Large Hadoop Cluster Mid-Sized Hadoop Cluster Competitive Comparison Design 1: Mid-Sized Data Center with 1536 Servers Design 2: Large Data Center with 6144 Servers Summary Additional Resources Page 1

4 Figures Figure 1. Conventional 3-Tier Data Center Architecture: Core, Aggregation, and Access... 4 Figure 2. Dell Distributed Core Fabric Solution... 8 Figure 3. Dell Networking Fabric Manager... 9 Figure 4. Distributed Core Fabric Design Types Figure 5. Distributed Core Connectivity Options Figure 6. Containerized Data Center Option 1: Leaf Inside the Container Figure 7. Containerized Data Center Option 1: Leaf Inside the Container Figure 8. Large End-to-End Hadoop Cluster Figure 9. Mid-Sized End-to-End Hadoop Cluster Figure 10. Mid-Sized Data Center with 1536 Servers Figure 11. Large Data Center with 6144 Servers Page 2

5 Executive Summary Data centers today are at the core of all major innovations. Data centers have seen a phenomenal increase in load due to demands from a distributed work force, exponential increase in the number of mobile devices, explosion in bandwidth intensive applications and a surge of over the top content (OTT). A data center could host thousands of devices that require a large amount of aggregate bandwidth. The applications driving the need for data centers include scientific modeling, financial analysis, data warehousing, medical data archiving and social media to name a few. In order to scale these applications, IT managers are seeking ways to optimize the architecture by simplifying the footprint and eliminating unnecessary complexity and devices to reduce the CAPEX. The reduced complexity simplifies the operations management thereby reducing the OPEX. The prevalent data center architecture today is comprised of routers and switches organized in a layered architecture. This architecture becomes increasingly complex and expensive as the number of layers increase. The biggest challenge with this architecture is that the core cannot support the amount of bandwidth available at the edge of the networks. This results in a blocking architecture where inter-node communication becomes a bottleneck. Most of the data center applications require the exchange of information with remote nodes for the execution of local computation. For example, web search engines require concurrent communication with every node in the cluster to provide the most relevant results. In addition web servers may require interaction with hundreds of sub-services running on remote nodes. In this paradigm there is a large amount of traffic flowing east-west (server to service) which does not scale in the conventional architecture optimized for north-south (to and from server) traffic flow. This causes emerging workloads to run sub-optimally. Additionally, the leading vendors in this space have proprietary or closed architectures, which causes customers to get locked in with specific vendors. This limits the options and flexibility for the customer in making incremental changes or adding new workloads to their existing data centers. The market needs open and flexible architectures, which would allow businesses to evolve and grow at the rate of innovation. Page 3

6 Conventional Data Center Architecture Conventional data center architecture is a layered approach that is comprised of the core, aggregation and the edge or top-of-rack switch. Figure 1. Conventional 3-Tier Data Center Architecture: Core, Aggregation, and Access Top-of-rack: A top of rack switch is a small form factor switch that sits on top of the rack allowing all the servers in the rack to be cabled into the switch. A top-of-rack switch typically has a small 1-2 RU form factor. Aggregation: The aggregation layer connects with the top of rack switches and aggregates the traffic into fewer high density interfaces such as 10GbE or 40GbE. The aggregation layer funnels the traffic to the data center core. Core: This is the most important and traditionally the most expensive networking equipment for data centers. The chassis based switches are one of the reasons for data center networks to be expensive. Challenges with Chassis Based Core Architecture The traditional data center model excels when predominant traffic volumes are north-south which means it is either coming into the data center or is going out of the data center. However, when majority of the traffic is east-west in nature as is the case for emerging workloads such as compute clusters and Hadoop, the centralized core architecture has problems. The model does not meet the performance requirements and presents bandwidth bottlenecks at the core layer. Another challenge with the current architecture is that there is a single point of failure with chassis based switches. Most of the chassis based data center switch vendors claim support for high availability and reliability. However, the reality is that high availability does not always work as the network architect envisions it to work. There is a lot of complexity involved in implementing high availability. It could potentially work for some functions or protocols but has a vast potential to fail in many different ways. As a direct result, the data center network can fail and bring down all the applications and services that are implemented with the data center. This can cause a costly network outage that impacts business. Service providers need to meet extremely tight SLA expectations from business and residential customers. Page 4

7 Compute resources connected to the physical switches might not be able to realize full bandwidth in a conventional hierarchical network design of interconnected switches. The biggest limitation of this design is that the overall bandwidth is limited by the bandwidth available at the root of the hierarchical communication tree. These bandwidth bottlenecks could result in a delay in servicing critical business functions. Data Center Requirements Based on the challenges, the following are the key requirements for a good data center design: Design: Any host in the data center should be able to communicate with any other host in a nonblocking manner without restriction. A good design needs to be elegant and simple ensuring that it is interoperable with all existing IP and Ethernet technologies. The data center design needs to be future proof in scaling to support new technologies, protocols and workloads. Financials: One of the most important criteria is the overall cost of the solution. This takes into consideration the cost per port for both the fabric ports as well as the access ports. Also, it is important to think of the logistics of implementing a data center including the cost for cables that connect the various different components as well as the manpower required to achieve it. The cost of operating a data center is of utmost importance. This includes the cost of power required to operate the data center as well as the cooling costs. The rack space also has costs associated with it and needs to be taken into consideration. Finally, there are costs associated with software licensing and maintenance contracts. The sum of all of these expenses is the total cost of ownership and needs to be scrutinized carefully over a 3 to 5 year period. The data center design should utilize robust and reliable products that have an efficient power and space footprint. Also, the products should be easy to manage and have a lower maintenance overhead. Management: There are two things to keep in mind for managing the data center network. First is the viability of managing the solution in terms of how easy it is to manage the data center and whether there are adequate tools available to manage the different hardware and software aspects, including CLI, automation tools and element management. This includes the deployment, ongoing maintenance, migration and backups. The second aspect is the cost of managing the solution. If the solution is difficult to manage, it increases the total cost of ownership for the solution. There are more involved management aspects such as span of control, coverage per personnel, reaction time, change limitations and co-ordination among various management groups within operations management. All of these factors are critical. Availability: Data centers are a key component of enterprise infrastructure and its high availability is critical. This applies to all the components of the data center including networking, storage, servers and applications. Cloud based business services are delivered from the data centers and this end-toend application delivery needs to support the highest amount of resiliency and availability. Performance: One of the biggest challenges with the data center networks today is that they do not scale to meet the performance requirements. This is not just the raw throughput but also the predictability with which the data is delivered including latency, jitter and other QoS parameters related to the flow. Applications are consumed by mobile and fixed devices and they could have low tolerance to variations in these QoS parameters. It is important to deliver predictable performance for the users and applications. Some of these parameters are important for the flow of data within the data centers. For example, a server needs to run a computation and needs to access data from a Page 5

8 storage device. This is an internal mechanism that is not visible externally but could have indirect user experience implications. Scalability: While infrastructure is constructed with a certain set of requirements, enterprises are looking to build networks that scale beyond the existing business needs. They need to be able to support the future growth in business data, users and workloads. Additionally, the network should scale in terms of both raw bandwidth and ports. The infrastructure needs to support new standards and protocols with the flexibility to add, remove or change devices or to scale the networks up, down or out. Distributed Core Fabric A distributed core fabric is a high performance, highly reliable core network architecture leveraging cost effective switching components. In more technical terms, it is a two stage Clos Leaf-Spine fabric based on a fat tree architecture. It provides full bisectional bandwidth between any two compute nodes in a large cluster using highcapacity low-cost Ethernet switches. Distributed Core Fabrics are purpose-built, high-performance networking fabrics that can meet all of the above requirements while scaling up to 160+ Tbps. Clos leaf-spine architecture The Clos leaf-spine architecture, named after Charles Clos who created the design in 1953, is comprised of two types of nodes that are used to construct a fabric. The leaf nodes connect either to the storage or servers in the rack directly or connect to the top-of-rack switches. The spine nodes connect to each of the leaf nodes. A leaf-spine network when configured properly can provide lowlatency, non-blocking performance between any two ports in this architecture. Page 6

9 Benefits of Distributed Core Architecture There are several advantages of the distributed core architecture over the conventional chassis based architecture: Cost: The distributed core architecture can be scaled to extremely large capacities using attractively priced Ethernet switches as opposed to complex chassis-based switches, that are extremely expensive. Scalability: The distributed core architecture is massively scalable and used to build large capacity data centers. Performance: The non-blocking leaf-spine architecture delivers high performance and supports any-toany communication between any two servers at line-rate. Efficiency: The architecture supports unrestricted communication between any two hosts in the network at full interface bandwidth. Resiliency: Network components need to be updated or replaced periodically to grow the stack horizontally or vertically. A distributed core architecture allows one node to be brought down or replaced without having any impact on the overall switch fabric. This built in resiliency is another great advantage of the leaf-spine architecture. Flexibility: The distributed core is an open design approach and allows the use of any standards based layer3 protocols such as OSPF or BGP. Distributed Core Fabric Design Considerations Let's start by looking at the some important design aspects of data center network design: Over-subscription Ratio - Data center designs in the past have been optimized for north - south traffic. These designs are oversubscribed, which means that if all the hosts start transmitting at line rate, the data center core would not be able to handle all the traffic. The result is that the design is blocking or oversubscribed. With distributed core, it is possible to design a core network that is not over-subscribed. This means the core is no longer a bottleneck and every host in the data center can potentially transmit data at line rate up to the full interface capacity. The distributed core design will hence be non-blocking and the subscription ratio will be 1:1. Multi-path routing - A core network with multiple switches requires a mechanism to manage multiple routes. This is achieved in a layer3 networks with Equal-cost multi-path(ecmp) which helps in load balancing flows. Complexity - Another challenge with the conventional data center architecture is the increase in the number of devices and complexity as the size of the data center increases. This is a huge issue for data center operations management. They need to manage multiple products, each with its own management system. Cost - One of the biggest considerations while building data centers is capital expenditure. In the past, vendors had been pushing chassis for data center core due to the lack of smaller products that could deliver the performance and scale that the data center networks needed. Chassis based core switches are expensive, space consuming, need more power and increase the cooling costs. All of these challenges are eliminated by deploying a distributed core architecture in the data center core. Page 7

10 Dell Distributed Core Fabric Solution Next, we will see how the leaf-spine architecture can be implemented with Dell Networking switches and also compare the different designs. Figure 2. Dell Distributed Core Fabric Solution Dell Networking Z9000 and S4810 Switches The Dell Networking Z9000 and S4810 are purpose-built for a leaf-spine network. Z9000 is a 2 RU system capable of supporting 32 40GbE ports or GbE ports and requires 800 watts of power. The Z9000 can support up to 64 spine nodes and 128 leaf nodes to create a 160 Tbps core in an extremely small power and cost footprint. The S4810 is a 1 RU system capable of supporting 48 1GbE and 4 40GbE ports or 64 10GbE ports. It requires 350W of power and enables a number of non-blocking or over-subscribed distributed core designs. Dell Networking switches deliver standards based layer 2 and layer 3 technologies. At layer 3, OSPF and BGP are used for the control plane, and ECMP is used for load distribution across the leaf-spine architecture. BGP multipath can be enabled for load distribution across leaf and spine nodes. The Dell Distributed Core Fabric Solution has been extensively validated by Tolly Group, an independent third party testing firm. The results of this testing are documented in the Tolly report. Additional information on this report can be found at the end of this paper. Page 8

11 Dell Fabric Manager Distributed core along with its numerous benefits is involved to implement. Dell has created a management solution to make it easier to implement a distributed core fabric. The Dell Fabric Manager helps in designing, implementing and managing a distributed core architecture. It simplifies and automates the design process, creates a wiring plan which helps in implementing the architecture with exact guidance on how the switch ports need to be connected and helps automate the multi-switch configuration process. It also makes remote monitoring of the distributed core switches easier and provides a graphical network view. Figure 3. Dell Networking Fabric Manager Next let's look at some of the design and implementation aspects of a distributed core fabric. Page 9

12 Distributed Core Fabric Design Types There are four different fabric design types to choose from, for creating a leaf-spine distributed core fabric. These are examples based on switching capacity and other designs can be easily created using the Dell Fabric Manager. Figure 4. Distributed Core Fabric Design Types Non-blocking Distributed Core with 40GbE Fabric Interconnects (Extra Large Design) This extra large distributed core design uses 40GbE fabric interconnects. The design is non-blocking which means any host can transmit and receive data at full interface capacity. The design is comprised of up to 16 spine nodes and 32 leaf nodes to deliver an aggregate fabric capacity of up to Tbps. The design enables 2,048 10GbE or GbE customer facing ports. Spine 16xZ9000 Fabric Interconnects 40GbE Leaf 32xZ9000 Fabric Capacity Tbps [16x40Gbpsx32x2] Customer Ports 2,048x10GbE or 512x40GbE (non-blocking) Over-Subscribed Distributed Core with 40GbE Fabric Interconnects (Large Design) This design for a large data center uses 40GbE fabric interconnects. The design is oversubscribed which means any host can transmit and receive data that is only a fraction of full interface capacity. The design example comprises of 4 Z9000 as spine nodes and 32 S4810 as leaf nodes to deliver an aggregate fabric capacity of Tbps. The design enables 1,536 10GbE customer facing ports with 3:1 oversubscription. Spine 4xZ9000 Fabric Interconnects 40GbE Leaf 32xS4810 Page 10

13 Fabric Capacity Tbps [4x40Gbpsx32x2] Customer Ports 1536x10GbE (3:1 oversubscription) Over-subscribed Distributed Core with 10GbE Fabric Interconnects (Medium Design) This medium distributed core design uses 10GbE fabric interconnects. The design is over-subscribed which means any host can transmit and receive data that is only a fraction of full interface capacity. The design comprises of 4 S4810 as spine nodes and 12 S4810 as leaf nodes to deliver an aggregate fabric capacity of 3.84 Tbps. The design enables GbE customer facing ports. Spine 4xS4810 Fabric Interconnects 10GbE Leaf 12xS4810 Fabric Capacity 3.84 Tbps [12x32x10Gbps] Customer Ports 576x10GbE (3:1 oversubscription) Non-blocking Distributed Core with 10GbE Fabric Interconnects (Small Design) This small design uses 10GbE fabric interconnects. The design is non-blocking which means any host can transmit and receive data at full interface capacity. The design comprises of 2 S4810 as spine nodes and 4 S4810 as leaf nodes to deliver an aggregate fabric capacity of 1.28 Tbps. The design enables GbE customer facing ports. Spine 2xS4810 Fabric Interconnects 10GbE Leaf 4xS4810 Fabric Capacity 1.28 Tbps [4x32x10Gbps] Customer Ports 128x10GbE (non-blocking) Page 11

14 Distributed Core Connectivity Options Looking at the bigger picture, the Clos leaf-spine distributed core replaces the centralized chassis based core. Each leaf node can connect to other top-of-rack switches or act as the top-of-rack switch and connect directly to storage and compute servers. Figure 5. Distributed Core Connectivity Options Workload Specific Design and Implementation Traditionally, data centers were designed with little or no attention towards the workload that the data center would support. Today, data Center architects need to ensure that the data center design optimizes the performance of the workload with a given design. The following are a few workload specific designs enabled by distributed core fabric. Containerized Data Center Core This design applies a modular approach towards creating a data center. Each container enables the build out of a specific capacity. Every time there is a need to increase the capacity, racks can be added until a given container is filled to its maximum capacity. Once the container is full, another container can be added to grow the data center footprint to support larger number of compute and storage servers and thereby growing the total switching capacity. Page 12

15 Figure 6. Containerized Data Center Option 1: Leaf Inside the Container In this design the distributed core fabric is comprised of Z9000 acting as the spine nodes and S4810 as the leaf nodes. The leaf nodes connect to an S55 acting as the top-of-rack switch. The spine nodes are connected to the leaf node with 40G fabric interconnects. The leaf nodes are connected to the top-ofrack switch with 10G interconnects. Each top-of-rack switch can connect 40 servers in a rack. With the above design, a single container can connect up to 96 racks that can hold 3840 servers. Spine 2xZ9000 Fabric Interconnects 40GbE Leaf 4xS4810 ToR 96xS55 Rack Connectivity 10GbE Racks 96 Servers 3840 (96x40) The container based design works well in a multi tenant environment where the data center is used to deliver service to smaller enterprises. The installation can grow as the customer base grows. Another way of implementing a containerized design would be to have the leaf node act as the top-ofrack switch. The following figure depicts this scenario: Page 13

16 Figure 7. Containerized Data Center Option 1: Leaf Inside the Container In this design the spine nodes are connected to the S4810 acting as the leaf node as well as the top-ofrack switch with 10 GbE fabric interconnects. The S4810 connects 40 servers in a rack. With the above design, a single container can connect up to 128 racks that can hold 5120 servers. Spine 2xZ9000 Fabric Interconnects 10GbE Leaf/Tor 128xS4810 Racks 128 Servers 5120 (128x40) Large Hadoop Cluster Hadoop is a framework for data intensive distributed computing. It enables an application to work with thousands of independent compute resources and petabytes of data performing complex computations or lookups in a fraction of a second. Hadoop clusters have been deployed by companies with massive amounts of user data such as Yahoo and Facebook for their data warehouse. One of the characteristic of a Hadoop cluster is large amounts of east-west traffic which makes a distributed core fabric a great fit for implementing a Hadoop cluster. This is predominantly the reason why distributed core always comes up in Hadoop discussions. In this large end-to-end Hadoop cluster design we have 16 Z9000 acting as spine nodes connected to 20 Z9000 acting as leaf nodes. This is a containerized design with each container having 4 spine nodes and 5 leaf nodes. We have limited the design to 4 containers. However, the design can be easily extended to add 2 more containers which would increase the total number of containers to 6. This design can connect up to 6400 servers. The following are some more details on this design. Page 14

17 Figure 8. Large End-to-End Hadoop Cluster Per container Spine 4xZ9000 Fabric Interconnects 40GbE Leaf 5xZ9000 ToR 100xS60 Rack Connectivity 10GbE Racks 25 Servers 1600 (64x25) Total Spine 16xZ9000 Fabric Interconnects 40GbE Leaf 20xZ9000 ToR 400xS60 Rack Connectivity 10GbE Racks 100 Servers 6400 (64x100) Page 15

18 Mid-Sized Hadoop Cluster The mid-sized End-to-End Hadoop cluster is a smaller design. In this design, we have 4 Z9000 acting as the spine connecting 32 S4810 acting as the leaf nodes and top-of-rack switches. The details for this design are below: Figure 9. Mid-Sized End-to-End Hadoop Cluster Per Rack Total Leaf/ToR 1xS4810 Connectivity 10Gbe Servers 48 Spine 4xZ9000 Fabric Interconnects 40GbE Leaf/ToR 32xS4810 Racks 32 Servers 1536 (48x32) Page 16

19 Competitive Comparison In the discussion so far, we have been contrasting a distributed core with a conventional core on various technical and design aspects. Next, we will look at the business benefits of implementing distributed core fabric with Dell Networking Z9000 core switch. We compare the Z9000 with the Cisco Nexus 7018 data center core switch. We perform this comparison with two different sized use cases. This comparison is restricted to data center core and does not take into consideration the cost of optics or top-of-rack switch. Design 1: Mid-Sized Data Center with 1536 Servers Figure 10. Mid-Sized Data Center with 1536 Servers The requirement for the first design is to connect 1536 servers. This can be achieved with two Cisco Nexus 7018 chassis while the Dell design would comprise of 4 Z9000 switches. The Dell Z9000 design consumes 1/4th the power, is 1/5th the price and requires 1/6th the footprint compared to Cisco Nexus 7018 design. As we can see with this conservative estimate, the customer benefits are significant by deploying Z9000 based distributed core. The other important fact is that if one of the switches experiences an outage, the Nexus based core loses 50% of the switching capacity. On the other hand, if one of the Z9000 switches experiences an outage, the fabric loses only 25% of the switching capacity. Servers 1536 Fabric Interconnects 40GbE Oversubscription 3:1 Number of racks 32 In this design we are assuming that both Cisco Nexus 7018 and Dell Z9000 can support line rate traffic in a non-blocking manner. Page 17

20 Design 2: Large Data Center with 6144 Servers Figure 11. Large Data Center with 6144 Servers The requirement for the second design is to connect 6144 servers. This can be achieved with 4 Cisco Nexus 7018 chassis while the Dell design would comprise of 16 Z9000 switches. The Dell Z9000 design consumes half the power, is 3/4th the price and requires 1/3rd the footprint compared to Cisco Nexus 7018 design. Once again with this conservative estimate, the customer realizes significant benefits by deploying Z9000 based distributed core. In this design, if one of the Nexus switches experience an outage, 25% of the switching capacity is lost. On the other hand, if one of the Z9000 switches experiences an outage, the fabric loses only 8% of the switching capacity. Servers 6144 Fabric Interconnects 10GbE Oversubscription 3:1 Number of racks 128 Page 18

21 Summary Distributed core architectures are inherently open in nature and provide customers great flexibility in implementing their data centers either in a single vendor or a multi-vendor environment. They provide much greater scalability, higher bandwidth, and higher resiliency as a foundation for data centers that handle massive amounts of data and employ large-scale compute clusters. In particular, it excels especially with emerging workloads that have massive amounts of east-west traffic. A distributed core architecture can replace a chassis-based core switch, and is inherently more resilient compared to a chassis based switch. The advantage of implementing the core in a distributed model is that the elements are exposed, interchangeable, vendor agnostic and standards based. One can map the components of a chassis based system to a distributed core architecture. The spine nodes of a distributed architecture are analogous to the switch fabric and the leaf nodes are analogous to the line cards. The cabling between the routers is analogous to a passive backplane. All of the elements are freestanding, non-blocking and do not have a single point of failure. This means by simply implementing a distributed core, the customer is eliminating the risk of an outage and resulting service disruption. The customers can avoid the pain associated with forklift upgrades associated with a monolithic chassis solution. Moreover, customers do not get locked with a single vendor and their long development cycles. A distributed core allows customers to start with a data center that is appropriately sized based on their current needs and then grow the data center as their business demand increases. The Dell Networking distributed core fabric is compelling for customers due to its attractive pricing and compelling business value proposition. Dell Networking Z9000 and S4810 are the first switches in the industry, that are purpose-built for distributed core architectures and cost-optimized for distributed fabric solutions of all sizes. By implementing a distributed core architecture based on the Z9000 and S4810, customers can benefit from the improved total cost of ownership with low power consumption, low latency and faster convergence time. See for yourself what the Dell Networking Distributed Core Fabric Solution can do for you. Page 19

22 Additional Resources 1. Tolly Report: Dell Force10 Distributed Core Fabric for the Data Center 2. Distributed Core Calculator 3. Data Center Reference Architectures 4. Z9000 Source Book 5. Z9000 Cable Management Kit 6. Z9000 Play Book 7. S4810 Source Book 8. S4810 Play Book Page 20

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