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Transformation Network
The Achilles heel of every transformative business model is their reliance on ever increasing amounts of data that need to be transported quickly across wide area networks and processed at…
Essential Characteristics of Cloud Computing as Digital Transformation
Hybrid IT blends traditional datacenters, managed service providers, and cloud service providers to deliver the necessary mix of information technology services. This IT consumption model enables a composable infrastructure which…
Transformation Innovation
4 Factors Driving Digital Transformation ROI The critical assessment factors for cloud ROI risk probability are the following: Infrastructure utilization Speed of migration to cloud Ability to scale business/mission processes…
Transformation Frameworks
Digital transformation necessitates changes in an organization’s operational processes. According to Harvard, a focus on operations can lead to business process optimization and entirely new revenue streams. Three common routes…
Transformation Infrastructure
Hybrid IT enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators need…
Essential Characteristics of Cloud Computing as Digital Transformation
A survey of 2,000 executives conducted by Cognizant in 2016 identified the top five ways digital transformations generate value: Accelerating speed to market Strengthening competitive positioning Boosting revenue growth Raising…
Embrace Transformation
From a business perspective, differentiating business processes and quality customer service are central to overall success. Business leaders must therefore clearly identify and measure how information technology contributes to the…
Computer Vision Advances Zero-Defect Manufacturing
by Kevin L. Jackson Electronics manufacturers operate in a challenging environment. It’s hard enough to keep up with the ever-accelerating rate of change in the industry. Now customers want increasingly…
Real-Time Analytics Power the Roadway of the Future
By Kevin L. Jackson The complexities of citywide traffic are pushing the limits of existing transportation management systems. Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to…
Thriving on the Edge: Developing CSP Edge Computing Strategy
Communications Service Providers (CSPs) are facing significant business model challenges. Referred to generally as edge computing, the possibilities introduced by the blending of 5G networks and distributed cloud computing technologies are…
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.
SNAP is a powerful open data center telemetry framework. It can be used to easily collect, process, and publish telemetry data at scale. It enables better data center scheduling and workload management through access to underlying telemetry data and platform metrics. The framework greatly improves system administrator control of the intelligent use of data center infrastructure in cloud environments by:
- 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.
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| 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.
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