HPC in the Cloud


Dedicated to covering high-end cloud computing
in science, industry and the datacenter

Language Flags

Cloud Less Cloudy with Formal NIST Definition


Earlier this week, the National Institute of Standards and Technology (NIST) published a formal definition for cloud computing, two years after the first draft was proposed. Despite an abundance of primers on the subject, the answeNIST logor to the "What is cloud?" question remains somewhat murky, so a formal pronouncement from an established standards body such as NIST should be well-received by a community that is largely still seeking clarity on the "cloud" issue.

So without further ado, here is NIST's formal definition:

"Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction."

NIST explains that the "definition is intended to serve as a means for broad comparisons of cloud services and deployment strategies, and to provide a baseline for discussion from what is cloud computing to how to best use cloud computing."

More fine-grained examples will of course take into account user-specific requirements. For example, the decriptor "convenient" is a relative term with a range of interpretations that depend on the user, application, and industry. One person's "convenient" is another's "latency issue."

The NIST definition goes on to list five characteristics considered essential to cloud computing: on-demand self-service, broad network access, resource pooling, rapid elasticity or expansion, and measured service. There are also three "service models" (software, platform and infrastructure), and four "deployment models" (private, community, public and hybrid) – which combine to describe a delivery mechanism. These elements are further clarified in "The NIST Definition of Cloud Computing" (SP800-145.pdf).

Although just recently finalized, the NIST definition has long been the working standard for the community. In fact, the same version served as the US contribution to the InterNational Committee for Information Technology Standards (INCITS), the group that is working to develop a standard cloud computing definition at the international level.


Full story at NIST

Most Read Blogs

Aspen

Feature Articles

CometCloud: Using a Federated HPC-Cloud to Understand Fluid Flow in Microchannels

The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Read more...

CERN, Google, and the Future of Global Science Initiatives

Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...

Avoiding Scientific Computing Bottlenecks in the Cloud

Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Exploring the Potential of Heterogeneous Computing

04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.

Sponsored Multimedias

Newsletters

Stay informed! Subscribe to HPC in the Cloud email Newsletters.

HPC in the Cloud Update
HPCwire Weekly Update
Digital Manufacturing Report
Datanami
HPCwire Conferences & Events
Job Bank
HPCwire Product Showcases



HPC Job Bank


Featured Events



  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States




HPC in the Cloud Conferences & Events