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“” has added latest research report on “Data Center as a Bottleneck Market”, this report helps to analyze top manufacturers, regions, revenue, price, and also covers Industry sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

This module is part of a study 2,622 pages long, with 1,273 tables and figures that addressee’s the business issues connected with Data Center Modernization. There are 20 module parts to the larger study comprised of detailed analysis of how new infrastructure layers will work to support management of vast quantities of data.

Worldwide hyperscale data center markets implement cloud computing with shared resource and the aim, more or less achieved of providing foolproof security systems that protect the integrity of corporate data. Cloud data centers are poised to achieve explosive growth as they replace enterprise web server farms with cloud computing and with cloud 2.0 automated process computing. The implementation of secure large computing capability inside data center buildings provides economies of scale not matched by current state of the art enterprise data center standalone server technology.

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Economies of scale provide savings of between 50% to 100x less cost. These are savings that cannot be ignored by any person responsible or running a business.

Building size cloud 2.0 computer implementations feature simplicity of design achievable only with scale. These data centers implement cloud 2.0 in a move that works better than much of the current cloud computing. The cloud 2.0 data centers have been reduced to two types of components, an ASIC server: single chip servers and a network based on a matching ASIC switch. Data centers are implemented with a software controller for that ASIC server and switch infrastructure.

The major driving factors for Cloud 2.0 mega data center market are cost benefit, growing colocation services, need for data consolidation, and cloud. Amazon (AWS), Microsoft, Google, and Facebook data centers are in a class by themselves, they have functioning fully automatic, self-healing, networked mega datacenters that operate at fiber optic speeds to create a fabric that can access any node in any particular data center because there are multiple pathways to every node. In this manner, they automate applications integration for any data in the mega data center.

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This module addresses the issue of data center bottlenecks initially by drawing the reader’s attention to an analogy: navigating a sailboat through Woods Hole on Cape cos Massachusetts. The navigation is tricky — potentially dangerous.

The bottleneck is potentially dangerous — for a combination of reasons. The current routinely flows through at over 4 knots, and can hit 7 knots. Full current on the nose makes transit slow and awkward. Full current from astern where the current runs slightly cross-channel causes awkward transit at an alarmingly rapid pace.

The existing data centers have a lot of entrenched culture and equipment. Mainframes represent 86% of transaction data processing and function generally in a manner separated from web traffic, though they doo handle some web traffic. One issue is, “What to do with the existing mainframes with its separate culture, functioning at 115% of capacity, and utterly impregnable security?”

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“The mega data centers have stepped in to do the job of automated process in the data center, increasing compute capacity efficiently by simplifying the processing task into two simple component parts that can scale on demand. There is an infrastructure layer that functions with simple processor, switch, and transceiver hardware orchestrated by software. There is an application layer that functions in a manner entirely separate from the infrastructure layer. The added benefit of automated application integration at the application layer brings massive savings to the IT budget, replacing manual process for application integration. The mainframe remains separate from this mega data center adventure, staying the course, likely to hold onto the transaction management part of data processing.”

The only way to realign enterprise data center cost structures is to automate infrastructure management and orchestration. Mega data centers automate server and connectivity management. Cisco UCS Director illustrates software that automates everything beyond. Cisco UCS automates switching and storage, along with hypervisor, operating system, and virtual machine provisioning.

As IT relies more on virtualization and cloud mega data center computing, the physical infrastructure is flexible and agile enough to support the virtual infrastructure. Comprehensive infrastructure management and orchestration is essential. The enterprise data centers and many cloud infrastructure operations all have similar problems of being mired in administrative expense. This presents a problem for those tasked with running companies.

The Internet has grown by a factor of 100 over the past 10 years. To accommodate that growth, hyperscale data centers have evolved to provide processing at scale, known as cloud computing. Facebook for one, has increased the corporate data center compute capacity by a factor of 1,000. To meet future demands on the Internet over the next 10 years, the company needs to increase capacity by the same amount again. Nobody really knows how to get there. Tis study takes a hard look at the alternatives open to business leaders.

Everyone should know by now that the enterprise data center is dead. It will no longer exist in three years, that is the time it takes servers to become outdated and need replacement. In that timeframe, enterprises will migrate workload from the core enterprise servers to the large data center that can provide processing at half the cost of current processing. Maybe this forecast is too aggressive, but probably not. The mainframe stays around as detailed in a different report.

The Hyperscale Data Centers: market size at $86.9.7 million in 2016 is Anticipated to be $359.7 billion in 2023. The market has astoundingly rapid growth for a market that really is not yet well defined. The increasing scope of applications across different industries, manufacturing, medical, retail, game, and automotive, all industries really, is expected to drive demand over the forecast period to these unprecedented levels, reaching into the trillion-dollar market arenas soon.

The hyperscale data centers are position to manage the explosion in web data, including data from IoT technology that is in the nascent stage with a huge growth potential, and has attracted large investments contributing to the industry growth.

Companies Profiled

Market Leaders


Amazon (AWS)



Market Participants

365 Data Centers






China Building A Cloud Computing Complex

China Mobile

Colocation America Data Center Bandwidth and Measurements




Digital Realty


DuPont Fabros Technology

Edge ConneX





Hewlett Packard Enterprise







US National Security Agency


NTT / RagingWire

OpenStack Cloud Controller





Red Hat / Ansible






Key Topics

Hyperscale Data Center



Cloud Computing

Cloud 2.0

Automatic Rules

Push-Button Actions

Cloud Application Integration

Container Control System

Open Source Container

Bare Metal To Container Controllers

Kubernetes Defacto Standard

Container Management System

Global IP Traffic

Mega Data Center

Google Kubernetes Defacto Standard Container

Digital Data Expanding Exponentially

Colocation Shared Infrastructure

Power and Data Center Fault Tolerance

100 Gbps Adoption

Data Center Architectures

High-Performance Cloud Computing

Core Routing Platform

Datacenter Metrics

Mega Data Center Fabric Implementation

Digital Data

Open Source Container Control System

Defacto Standard Container Management System

Co-Location, and Social Media Cloud

Biggest Data Centers

Cloud 2.0

Intelligent Cloud Segment

Table of Content:

Executive Summary 3

Bottlenecks: Navigating Woods Hole Is Tricky — Potentially Dangerous 5

Viewed From The Cockpit: The Converging And Diverging Channels Can Look Like A Random Scattering Of Reds And Greens 6

Using the Red and Green Boys to Navigate 7

Nine-Foot Bay Of Fundy Tide 10

Video and Data Streams Create Bottlenecks: 11

Demand for New Types of Cloud 11

The Right Type of Cloud: Mega Data Centers, Cloud 2.0 12

Table of Contents 13

Mega Data Center Scale and Automation 22

Only Way To Realign Data Center Cost Structure Is To Automate Infrastructure Management And Orchestration 23

Entire Warehouse Building As A Single System 24

Half a Trillion Dollars 25

Two Tier Architecture to Achieve Simplicity 26

Bandwidth and Data Storage Demands Create Need For Application Integration 27

Cultural Shift 28

Line of Business Loses Control Of Hardware Servers 29

Cultural Change Needed to Move to Cloud 31

Adjusting to Rapid Change 32

Amazon Web Services (AWS) Fully Automatic, Self-Healing, Networked Mega Systems Inside A Building. 33

Data Center Design Innovation 34

Shift To An All-Digital Business Environment 35, Continued…

List of tables

Enterprise Data Center as a Bottleneck: Think Woods Hole

Figure 1. Existing Enterprise Data Center as a Bottleneck: Think Woods Hole 5

Figure 2. AWS Data Center Image 6

Figure 3. Achieving a Scalable Architecture from Simple Units 7

Figure 4. Facebook Sample Pod: Unit of Network 8

Figure 5. Facebook Data Center Fabric Network Topology 9

Figure 6. Cloud 2.0 Mega Data Center 11

Figure 7. Cloud 2.0 Mega Data Centers Support 1.5 Billion Facebook Users Worldwide. 12

Figure 8. Facebook DuPont Fabros Technology Ashburn, VA Data Center 24

Figure 9. SOA Foundation Business, Infrastructure, and Data Information Architecture 27

Figure 10. AWS Market Leader In Cloud Computing 32

Figure 11. 538,000SF: i/o Data Centers and Microsoft Phoenix One, Phoenix, Ariz. 34

Figure 12. Phoenix, Arizona i/o Data Center Design Innovations 34

Figure 13. Key Challenges Enterprise IT Datacenters: 36

Figure 14. Multi-threading Manages Pathways From One Node To Another Node 37

Figure 15. Cloud Types of System Implementation 38, Continued…

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