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Convergence: The Catalyst to Transform Scientific Research
by Melvin Greer Greer Institute for Leadership and Innovation A new transformative research approach is gaining global attention and adoption. The scientific opportunities enabled by convergence—the coming together of insights…
Cloud Computing Promises: Fact or Fiction
Cloud computing is currently making information technology headlines, and vendors are aggressively promoting the many benefits it can provide organizations. This White Paper addresses the claims and questions that are…
Super Smart Person’s Guide to Cloud Computing – San Diego
We are offering a fun and educational event just about the cloud. This session will help CEOs, Directors, Managers, and Dilberts learn what the heck the cloud is all about.…
A Managed Services Business Owners Lament: A talk with Joe D.
by Kevin L. Jackson A few days ago I received a call from a small business owner asking if I would meet him for coffee. He wanted to run some…
Technology and the Evolving Workforce
by Melvin Greer Managing Director Greer Institute for Leadership and Innovation According to a Greer Institute Workforce and Talent study, the 2020 workforce is both “the most educated and culturally…
Security attacks and countermeasures
by Sandra K. Johnson Cyber security is rapidly becoming a significant issue in the C-suite as well as the population at large. The results of Dell’s Global Technology Adoption…
ITIL in 7 Minutes!
What is ITIL & how can it benefit your organization? Learn the answers to these questions plus gain an understanding of the ITIL Service Lifecycle in this video. Download a…
How Resilient are FedRAMP Clouds Anyway?
By Jodi Kohut For the uninitiated, FedRAMP is the Federal Risk Authorizationand Management Program, a government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for…
Federal Tech Talk: Cloud Transition Challenges in Government and Industry
Cloud Computing is revolutionizing today’s business marketplace. While “learning the art of the possible”, corporate executives today are struggling with the business and security challenges associate with this important transition. Just…
Cloud, Mobile, Social and Cyber: 2015 Predictions That Will Rock The World (AGAIN!)
2015 PREDICTION TIME!! The worlds of cloud, mobile, social and cyber will continue expanding, permuting and recombining. Their individual effect on society and commerce will become moot as these technological…
As cloud computing becomes the information technology mainstream, data center technology is accelerating at a breakneck speed. Concepts like software define infrastructure, data center analytics and Nonvolatile Memory Express (NVMe) over Fabrics are changing the very nature of data center management. According to industry research firm IDC, organizations will spend an additional $142.8 billion oninfrastructure for both public and private cloud environments in the next three years (2016-2018) to boost efficiency and business agility.
- Investing in the ecosystem to accelerate enterprise-ready, easy-to-deploy software defined infrastructure (SDI) solutions;
- Optimizing SDI solutions to deliver highly efficient clouds across a range of workloads by taking full advantage of Intel platform capabilities; and
- Aligning the industry and engaging the community through open industry standards, solutions and routes to market to accelerate cloud deployment.
As cloud infrastructure management is moving towards these new management paradigms, those at the leading edge are exploring how to make data center’s think for themselves. Industry leaders like Dr. Brian Womack, Director of Distributed Analytics Solutions in Intel’s Data Center Solutions Group, and Das Kamhout, Senior Principal Engineer at Intel are learning how to use data, artificial intelligence frameworks and machine learning to create data centers that think for themselves. Two key components of their vision are SNAP and TAP.
- Empowering systems to expose a consistent set of telemetry data;
- Simplifying telemetry ingestion across ubiquitous storage system;
- Improving the deployment model, packaging and flexibility for collecting telemetry;
- Allowing flexible processing of telemetry data on agent (e.g. machine learning); and
- Providing powerful clustered control of telemetry workflows across small or large clusters.
Visit Chip Chat to hear more more about creating a data center that thinks for itself! |
This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud Network Partners or any other corporation or organization.
( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2016)
Cloud Computing
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Cybersecurity
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