Written by 59 experts and reviewed by a seasoned technical advisory board, the Data Center Handbook is a thoroughly revised, one-stop resource that clearly explains the fundamentals, advanced technologies, and best practices used in planning, designing, building and operating a mission-critical, energy-efficient, sustainable data center. This handbook, in its second edition, covers anatomy, ecosystem and taxonomy of data centers that enable the Internet of Things and artificial intelligent ecosystems and encompass the following:SECTION 1: DATA CENTER OVERVIEW AND STRATEGIC PLANNINGMegatrends, the IoT, artificial intelligence, 5G network, cloud and edge computingStrategic planning forces, location plan, and capacity planning Green design & construction guidelines and best practicesEnergy demand, conservation, and sustainability strategiesData center financial analysis & risk managementSECTION 2: DATA CENTER TECHNOLOGIESSoftware-defined environmentComputing, storage, network resource managementWireless sensor networks in data centersASHRAE data center guidelinesData center telecommunication cabling, BICSI and TIA 942Rack-level and server-level coolingCorrosion and contamination controlEnergy saving technologies and server designMicrogrid and data centersSECTION 3: DATA CENTER DESIGN & CONSTRUCTIONData center site selectionArchitecture design: rack floor plan and facility layoutMechanical design and cooling technologiesElectrical design and UPSFire protectionStructural designReliability engineeringComputational fluid dynamicsProject managementSECTION 4: DATA CENTER OPERATIONS TECHNOLOGIESBenchmarking metrics and assessmentData center infrastructure managementData center air managementDisaster recovery and business continuity managementThe Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center belongs on the bookshelves of any professionals who work in, with, or around a data center. About the Author Hwaiyu Geng P.E. (Palo Alto, California, USA) is the founder and managing director at AmicaResearch.org promoting green planning, designing, building and operating of high-tech projects. He has over four decades of planning, engineering and management experience having worked with Westinghouse, Applied Materials, Hewlett Packard, Intel and Juniper Networks. He is a frequent speaker at international conferences. Mr. Geng, a patent holder, is also the editor/author of the IoT and Data Analytics Handbook, Manufacturing Engineering Handbook (2nd edition), and Semiconductor Manufacturing Handbook (2nd edition).
IT Equipment Power Trends, 3rd Ed., now extends to 2025 based on the latest information from leading datacom equipment manufacturers to help datacom facility designers more accurately predict future equipment loads.
Liquid Cooling Guidelines for Datacom Equipment Centers, 2nd Ed., includes a revised table showing new liquid cooling classifications and temperatures, made necessary by the steadily climbing rack heat loads which air cooling can no longer handle in a growing number of high performance and high density data centers.
Next, the issue of contamination has also been updated to reflect ASHRAE-sponsored research, showing that silver corrosion is a better indicator of gaseous contamination effects than the previously accepted method of copper corrosion. This is a very significant difference for data centers located where air pollution and humidity are high.
The second largest use of energy in a data center is typically the cooling of the equipment, and liquid cooling deployments continue to grow as data centers look to hit ambitious sustainability goals. This TGG tool shows how data centers can reduce costs by up to 50% by adopting new best practices and solutions including liquid cooling of IT equipment. The TGG tool is available in both English and Japanese at thegreengrid.org.
\"For seven years, The Green Grid has proudly collaborated to create, publish and promote financial and technical resources that enable more efficient design and promote sustainable change,\" said Erica Thomas, Leader of The Green Grid. \"As data centers grow rapidly, access to the most efficient best practices for their performance is an important element to enable industry innovation.\"
Since 2016, TGG members have collaborated to produce and vet this resource to ensure its viability. Recent innovations and more efficient liquid cooling solutions can now conserve data center resources and reduce expenses considerably. Increasingly, ESG reporting requirements encourage both data center operators and owners to improve performance and achieve higher levels of energy efficiency, resource conservation and reuse.
As an affiliate of the global tech association Information Technology Industry Council (ITI), TGG works globally to create tools, provide technical expertise, and advocate for the optimization of energy and resource efficiency of data center ecosystems in order to enable a low carbon economy.
The Handbook and the UNCTADstat Data Center make internationally comparable sets of data available to policymakers, research specialists, academics, officials from national governments, representatives of international organizations, journalists, executive managers and members of non-governmental organizations.
The TraBio statistical tool is comprised of a dataset of trade statistics on biodiversity-based products and a web page which contains interactive maps and charts to help the user visualize the underlying data more intuitively.
This chapter focuses on load balancing within the datacenter. Specifically, it discusses algorithms for distributing work within a given datacenter for a stream of queries. We cover application-level policies for routing requests to individual servers that can process them. Lower-level networking principles (e.g., switches, packet routing) and datacenter selection are outside of the scope of this chapter.
These techniques are applied at many parts of our stack. For example, most external HTTP requests reach the GFE (Google Frontend), our HTTP reverse proxying system. The GFE uses these algorithms, along with the algorithms described in Load Balancing at the Frontend, to route the request payloads and metadata to the individual processes running the applications that can process this information. This is based on a configuration that maps various URL patterns to individual applications under the control of different teams. In order to produce the response payloads (which they return to the GFE, to be returned back to browsers), these applications often use these same algorithms in turn, to communicate with the infrastructure or complementary services they depend on. Sometimes the stack of dependencies can get relatively deep, where a single incoming HTTP request can trigger a long transitive chain of dependent requests to several systems, potentially with high fan-out at various points.
We can only send traffic to a datacenter until the point at which the most loaded task reaches its capacity limit; this is depicted in Figure 20-1 for two scenarios over the same time interval. During that time, the cross-datacenter load balancing algorithm must avoid sending any additional traffic to the datacenter, because doing so risks overloading some tasks.
This example illustrates how poor in-datacenter load balancing practices artificially limit resource availability: you may be reserving 1,000 CPUs for your service in a given datacenter, but be unable to actually use more than, say, 700 CPUs.
Another challenge to Simple Round Robin is the fact that not all machines in the same datacenter are necessarily the same. A given datacenter may have machines with CPUs of varying performance, and therefore, the same request may represent a significantly different amount of work for different machines.
The Foundation calculates a composite index of overall child well-being for each state by combining data across four domains: (1) Economic Well-Being, (2) Education, (3) Health and (4) Family and Community. These scores are then translated into state rankings. Explore overall child well-being in the interactive KIDS COUNT Data Book.
Children who live in nurturing families and supportive communities have stronger personal connections and realize higher academic achievements. Explore family and community data in the interactive KIDS COUNT Data Book.
Rapid change. It's the name of the game for today's data center experts. With an ever-increasing, ever-growing matrix of data spread around the globe, the scalability limits of data center environments are on the brink. From time-consuming operations, security, and compliance regulations, hybrid cloud connectivity and network management, to business-critical monitoring and maintenance, data center network operators and administrators need automation and management tools more than ever.
Cisco Nexus Dashboard Fabric Controller (NDFC) (formerly Data Center Network Manager-DCNM) makes fabric management simple and reliable. It provides end-to-end automation, extensive visibility, and consistent operations for data centers, reducing the complexities and costs of operating Cisco Nexus and storage network deployments while connecting and managing your cloud environments.
Provides a single pane of glass to manage and monitor storage networks built with Cisco MDS multilayer SAN switches and Cisco Nexus switches. Enables SAN insights to collect and visualize Cisco MDS SAN analytics data and capabilities.
The New York State Office of Information Technology Services (ITS) announced today the release of a new version of the Open Data Handbook, a nationally recognized publication lauded for promoting governmental transparency. Version 2.0 includes new guidance for state entities concerning the alteration of data sets and introduces a process to help ensure significant changes are properly authorized. In addition, ITS is providing a brief program overview for the general public to help enhance understanding of the Handbook and how New York State identifies, prioritizes, and manages publishable data. 59ce067264