Dublin, Jan. 16, 2017 (GLOBE NEWSWIRE) -- Research and Markets has announced the addition of Wintergreen Research, Inc's new report "Hyperscale Data Centers: Market Strategies and Forecasts, Worldwide, 2017-2023" to their offering.

Market Size at $86.9.7 Million in 2016 is Anticipated to be $359.7 Billion in 2023

Worldwide hyperscale data center markets implement cloud computing with shared resource and 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.

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.

Cloud 2.0 mega data centers are different from ordinary cloud computing. Mega datacenter networks deliver unprecedented speed at the scale of entire buildings. They are built for modularity. They are constantly upgraded to meet the insatiable bandwidth demands of the latest generation of servers. They are managed for availability.

Key Topics:

  • Hyperscale Data Center
  • Scale
  • Automation
  • 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

Companies Mentioned

  • 365 Data Centers
  • Alibaba
  • Amazon
  • Apple
  • Baidu
  • Bandwidth and Measurements
  • Chef
  • China Building A Cloud Computing
  • China Mobile
  • Colo-D
  • Colocation America Data Center
  • Complex
  • CoreSIte
  • CyrusOne
  • Digital Realty
  • Docker
  • DuPont Fabros Technology
  • Edge ConneX
  • Equinix
  • Facebook
  • Forsythe
  • Google
  • Hewlett Packard Enterprise
  • I/O
  • IBM
  • Intel
  • InterXion
  • Mesosphere
  • Microsoft
  • NEC
  • NTT / RagingWire
  • OpenStack Cloud Controller
  • Puppet
  • QTS
  • Qualcom
  • Rackspace
  • Red Hat / Ansible
  • Switch
  • Tango
  • Tencent
  • Twitter
  • US National Security Agency
  • Yahoo

For more information about this report visit http://www.researchandmarkets.com/research/87mkd9/hyperscale_data

Source: Wintergreen Research, Inc

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Related Topics: Data Centers