According to Susan Eustis, lead author of the study, “The Cloud 2.0 mega data center market is set to grow from $86.9 billion in 2016 to $388.5 billion by 2023. All regions, North America, Asia, and Europe are expected to have significant growth in terms of revenue. APAC is expected to experience an increase in market traction, throughout the forecast period. With 20.8 billion IoT endpoints predicted to be in service by 2020, the time is right to leverage the business value of the IoT by building mega data centers that manage the onslaught of digital data in a manner that is cost effective.”
Organizations are hampered by siloed systems that inhibit growth and increase costs. Mega data centers function as universal IoT platforms that overcome legacy limitations and simplify device integration, to enable connectivity and data exchange. Industrial end-to-end process automation markets are anticipated to reach $7 trillion by 2027, growing at a rapid pace, providing remarkable growth for companies able to build new data center capacity efficiently.
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The mega data centers are different from cloud computing in general, and different from the existing enterprise linear computing data centers. The mega data centers are handling infrastructure automatically, eliminating manual process for infrastructure, creating a separate application layer where all the work gets done. The operative nomenclature is containers. The operative software is orchestration.
Mega centers are moving data at the speed of light. This represents a huge change in computing going forward, virtually all the existing enterprise data centers are obsolete because moving data at the speed of light demands different infrastructure from moving data using existing cabling that is not fiber. This study addresses these issues. As enterprises and cloud vendors build data centers with the capacity to move data inside the data center at 400 GB per second, more data can be managed, costs will continue to plummet, and efficiency goes up.
The mega data centers are needed to handle all manner of new quantities of digital information. All manner of devices will have electronics to generate digital data turning it into monitored digital information with alerts to permit response to streams of information that demand response, as for example cardiac data going into a cardiac monitor in a hospital intensive care unit. New monitoring situations emerge. The connected home will provide security on every door, window, and room with alerts that can be sent to and accessed from a smart phone. The refrigerators and heaters will be connected and be equipped with rule based logic to detect problems and send relevant info so they can be turned on and off remotely.
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In industry, work flow will be automated beyond single process to multi process information management. The sheer scale of the fabric is fundamentally changing how the market leaders monitor and troubleshoot the data center. Components and links behave the same. Baselines and outliers are key to active auditing for problems. Priority-driven alerting and auto-remediation are in place.
Table of Contents
MEGA DATA CENTERS EXECUTIVE SUMMARY
Mega Data Center Scale and Automation
Mega Data Centers Have Stepped In To Do The Job Of Automated Process
Cloud 2.0 Mega Data Center Fabric Implementation
Cloud 2.0 Mega Data Center Different from the Hyperscale Cloud
Cloud 2.0 Mega Data Center Automatic Rules and Push-Button Actions
Making Individual Circuits And Devices Unimportant Is A Primary Aim Of Fabric Architecture
Digital Data Expanding Exponentially, Global IP Traffic Passes Zettabyte (1000 Exabytes) Threshold
Google Kubernetes Open Source Container Control System
Google Kubernetes a Defacto Standard Container Management System
Google Shift from Bare Metal To Container Controllers
Cloud 2.0 Mega Data Center Market Driving Forces
Mega Data Center Market Shares