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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 to physically configure hardware to support a specific software application, which describes the function of a composable architecture. This type of transformative infrastructure is foundational…
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 employee productivity Expanding the ability to acquire, engage, and retain customers Digital transformation is also a cultural change. Cloud Computing as Digital Transformation Since cloud…
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 value of every key business process. They must also know how to most cost effectively use IT when the task is merely the management of…
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 specialized product variations in less time and of higher quality. Meeting this demand for increased product variation can seriously impact the bottom line. Such variability increases…
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 Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to acquire, operate, and maintain. And current roadways are simply not prepared for the future of autonomous vehicles. Enter the SPaT Challenge, an initiative encouraging cities and…
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 redefining how CSPs operate, partner, and drive revenue. A new Ericsson Digital whitepaper entitled, “Edge computing and deployment strategies for communication service providers,” addresses these challenges…
SourceConnecte! Marketplace With A Mission
Earlier this year, GC GlobalNet launched a new breed of B2B e-commerce sites. Curated by Kevin L. Jackson, SourceConnecte (with an “e”) went live with three strategic goals in mind: Efficiently leverage modern social media technologies to facilitate value-based interactions between enterprise buyers and vetted suppliers; Establish a protected interactive environment capable of supporting high-value B2B e-commerce negotiations…
Potential vs. Reality: Is Edge Computing Real?
Edge computing provides compute, storage, and networking resources close to devices generating traffic. Its benefits are based on an ability to provide new services capable of meeting stringent operational requirements by minimizing both data latency and the need for bandwidth. Based on Google trend data, searches for the term has also grown substantially over the…
Enabling Digital Transformation
Digital transformation integrates technology into all areas of an organization’s business or mission. Its fundamental purpose is to create and deliver innovative and industry-changing products and services to a global customer base. This outcome requires the seamless two-way flow of data and information between internal business processes and external processes that interact with customers, business…
The ThinkShield Story Part 1: The Challenge
The cybersecurity challenge seems to be growing daily. Threats are becoming more sophisticated, and attacks are becoming more destructive while the corporate world’s response seems to resemble a deer in headlights. Recent examples of this dangerous state of affairs include[1]: A data breach of a US Customs and Border Protection surveillance contractor that led to…
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.
( 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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- CPUcoin Expands CPU/GPU Power Sharing with Cudo Ventures Enterprise Network Partnership
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Cybersecurity
- Route1 Announces Q2 2019 Financial Results
- FIRST US BANCSHARES, INC. DECLARES CASH DIVIDEND
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- Atos delivers Quantum-Learning-as-a-Service to Xofia to enable artificial intelligence solutions
- New Ares IoT Botnet discovered on Android OS based Set-Top Boxes
