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Should Data Centers Think?

Transformation Network

By pwsadmin | May 15, 2021

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 edge computing end points. To meet this expected demand, the global telecommunications industry is rapidly moving toward a future in which networks must have the…

Essential Characteristics of Cloud Computing as Digital Transformation

By pwsadmin | May 15, 2021

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 describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators no longer need…

Transformation Innovation

By pwsadmin | May 15, 2021

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 Quality delivered by the new cloud-based process  These four factors directly drive digital transformation ROI because they affect revenue, cost, and the time required to…

Transformation Frameworks

By pwsadmin | May 15, 2021

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 for this are the following:      Robotic process automation (RPA) which uses artificial intelligence to automate routine activities      Remote worker enablement that uses workspace virtualization and…

Transformation Infrastructure

By pwsadmin | September 26, 2020

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

By pwsadmin | September 25, 2020

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

By pwsadmin | September 22, 2020

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 pwsadmin | July 25, 2020

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 pwsadmin | July 25, 2020

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

By pwsadmin | March 6, 2020

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…

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.

To support this rapid evolving space, Intel announced a “Cloud for All” initiative last year in order to help businesses get the most out of their cloud infrastructure. Specific goals for this initiative include:
  • 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.
Trusted Analytics Platform (TAP) makes the SNAP telemetry usable by providing the tools, components and services necessary in the creation of advanced analytics and machine learning solutions. TAP makes these resources accessible in one place for data scientists, application developers and system operators. An open-source software platform optimized for performance and security, TAP simplifies solution development through the delivery of a collaborative and flexible integrated environment.

With TAP, Interactive analysis, modeling and algorithmic process flows on any type of raw data, streaming in real-time or batch data, is possible using either a GUI or a text-based shell. These models and flows can be used for batch processing or be integrated into applications. TAP includes REST APIs usable by any web-capable language (e.g., Python, Java, PHP, Ruby, Javascript) over HTTP, as well as a Python API, for server-local access. It operates on most data stores and file systems, including cluster federations that can enable data sharing (with security). The integrated operations management tools in TAP allow monitoring and control from top to bottom. In support of trust, TAP Security follows layered security and deep defense principles to provide transparent encryption and decryption, as well as fine-grained access authorization, based on a variety of authentication mechanisms and assurance levels.

Used in combination, SNAP and TAP could be used to make sentient data centers a reality.

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.

Cloud Musings

( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2016)

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