Welcome!

Big Data Journal Authors: Patrick Burke, Pat Romanski, Elizabeth White, Maureen O'Gara, Wiqar Chaudry

News Feed Item

New Open Data Center Alliance White Paper Highlights Adoption of ODCA Cloud Usage Models

Organization Delivers New Requirements for Cloud Licensing and Data Security

PORTLAND, Ore. and PARIS, March 13, 2013 /PRNewswire/ -- The Open Data Center Alliance (ODCA), a global organization where hundreds of enterprise IT organizations are working together to drive broad scale requirements for the enterprise ready cloud, today announced the release of a new white paper focused on how one of its board members has adopted ODCA requirements as the foundation for its cloud implementation and the release of two new usage models focused on Software Entitlement and Data Security. With today's news, ODCA has now released over 20 cloud requirements documents and publications and is demonstrating significant momentum in the adoption of its cloud usage models.

The Open Data Center Alliance: Private Cloud Strategy at BMW white paper details BMW's multiple phases of cloud implementation from internal cloud delivery to full integration of public cloud services using ODCA requirements as core foundations for implementation plans. The paper released today is expected to serve as a model for helping other enterprise IT managers in their own path to the cloud and help providers identify requirements for enterprise ready cloud service delivery. A video featuring highlights of the BMW cloud implementation was also released today and is available on the ODCA website.

"Cloud computing represents an unparalleled opportunity to deliver resiliency and scale to meet our business challenges," said Mario Mueller, chair of the Open Data Center Alliance and Vice President of IT Infrastructure at BMW. "By publishing BMW's strategy for cloud adoption, we hope to share our insights in how to integrate cloud principles into an existing enterprise IT environment leveraging our work in the Open Data Center Alliance.  By sharing our path we hope to make everyone's path to the cloud smoother."

The BMW cloud implementation is grounded in the principles of the ODCA Compute Infrastructure as a Service and Service Orchestration master usage models, which provide the company with the strategy and tactics for moving from requirements to real implementation starting this year. Additional requirements integrated into BMW's plans include the ODCA Service Catalog to measure what services are being delivered and what attributes exist for each service; the VM Interoperability usage model, providing a single view of all corporate VMs regardless of physical location,  and the Long-Distance Workload Migration usage model aimed to eliminate downtime and disruption from migration activities. The company's approach to security and identity management is based on strategies and details described in the ODCA Identity Management Interoperability Guide.  

The announcement of BMW's ODCA implementation plans come as the Alliance delivers a major advancement in cloud requirements with the release of two new usage models:

- Software Entitlement Management Framework: This usage model addresses the requirement for shifting away from outmoded annual software licensing schema based on system or CPU core count metrics towards models that match cloud based delivery of on-demand services and dynamic scaling of resources.

- Data Security Framework: This usage model builds upon the existing ODCA security assurance usage model and focuses on security of corporate data.  The requirement introduces attributes for data security including mechanisms for access control, data classification, data encryption, and data masking.

These usage models extend the Alliance's requirements delivery and help pave the way to broad scale deployments in 2013. ODCA will release new usage models at the organization's upcoming Forecast 2013 conference scheduled for June 17-18 in San Francisco aligned with Forecast's premier media sponsor Giga-Om's Structure conference.  Information about Alliance publications, Forecast conference details, and discounted registration can be found at the organization's website: www.opendatacenteralliance.org. Latest developments from the Alliance can also be found on Facebook, LinkedIn, Slideshare, Twitter, and YouTube.

About The Open Data Center Alliance
The Open Data Center AllianceSM is an independent IT consortium comprised of global IT leaders who have come together to provide a unified customer vision for long-term data center requirements. The Alliance is led by a twelve member steering committee which includes IT leaders BMW, Capgemini, China Unicom, Deutsche Bank, JPMorgan Chase, Lockheed Martin, Marriott International, Inc., National Australia Bank, NTT Data, T-Systems, Terremark, Disney Technology Solutions and Services, and UBS. Intel serves as technical advisor to the Alliance.

In support of its mission, the Alliance has delivered the first customer requirements for cloud computing and big data documented in Open Data Center Usage Models which identify member prioritized requirements to resolve the most pressing challenges facing cloud adoption. Find out more at www.opendatacenteralliance.org.

MEDIA CONTACT:
Russ DeVeau
Open Data Center Alliance
russ@mail.opendatacenteralliance.org
Mobile/Text: 908-251-1549

SOURCE Open Data Center Alliance

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Cloud Expo Breaking News
“Open source has always provided a number of benefits, including easing adoption costs, propagating a better understanding of the technology, and allowing for faster evolution and commercialization of products and services based on it,” noted Terry Woloszyn, Founder & CEO, Leeward Security Ltd., in this exclusive Q&A with Cloud Expo Conference Chair Jeremy Geelan. “This is clearly evident with the OpenStack and CloudStack,” Woloszyn continued, “and others that have been quickly commercialized as...
Cloud enables SMBs to access new, scalable resources – previously only available to enterprises – in flexible and cost-effective ways. McKinsey’s SMB Cloud Report projects the public cloud market to reach $40-$50 billion by 2015, with SMBs comprising 65% of public cloud spending in 2015. But selling cloud to SMBs raises the questions of who, what and how. In her session at the 12th International Cloud Expo, Manjula Talreja, VP of Cisco’s Global Cloud Business Development Team, will discuss the...
In the face of rapidly increasing amounts of unstructured data, industry is investing heavily to turn machines into services and connect them to analytics engines that will extract an extraordinary amount of value and unleash a productivity revolution for both businesses and consumers. In the health care, transportation and energy sectors alone, the combination of machine diagnostics software and analytics will eliminate as much as $150 billion in waste. In his session at the 12th Internation...
The economics of business are radically changing due to the way in which software and services are being delivered thanks to cloud computing. In his session at 12th Cloud Expo | Cloud Expo New York [10-13 June, 2013], Mike Kavis will cover six reasons for the disruption.
New, "Super-Sized" 4-Day Cloud Computing Bootcamp is a brief introduction to cloud computing carefully created and devised to help you keep up with evolving trends like Big Data, PaaS, APIs, Mobile, Social and Data Analytics. Solutions built around these topics require a sound cloud computing infrastructure to be successful while assisting customers harvest real benefits from this transformational change that is happening in the IT ecosystem.
As enterprises deploy private IaaS clouds into production they are reevaluating their future application delivery models. SUSE and WSO2 believe that private PaaS will leverage the automation and scalability of Private IaaS solutions, such as OpenStack-based SUSE Cloud, to deliver the secure, standardized development environments that will make migrating to an agile, serviceoriented delivery model possible. In their session at the 12th International Cloud Expo, Chris Haddad, VP of Technology Ev...
“Trust is an ongoing journey and sits at the foundation of any vendor relationship – the companies that don’t consistently earn trust won’t be around long,” noted Henrik Rosendahl, Senior VP of Cloud Solutions at Quantum, in this exclusive Q&A with Cloud Expo Conference Chair Jeremy Geelan. “As they do more with cloud, trust will organically grow – maybe it’s just about meeting SLAs or seeing firsthand that data is there when you need it,” Rosendahl continued. Cloud Computing Journal: The move ...
If zettabytes of data exist, why is less than 1% of the world’s data being analyzed today? Seasoned entrepreneur and startup CEO Radhika Subramanian believes that the inability to analyze and gain value from Big Data is that organizations are taking a services-centered approach. As the title of the session implies, Subramanian believes that the data needs to do the talking, not armies of analysts searching and querying databases. Her company has developed high-speed, advanced algorithms to autom...
Cloud enables SMBs to access new, scalable resources – previously only available to enterprises – in flexible and cost-effective ways. McKinsey’s SMB Cloud Report projects the public cloud market to reach $40-$50 billion by 2015, with SMBs comprising 65% of public cloud spending in 2015. But selling cloud to SMBs raises the questions of who, what and how. In this session Manjula Talreja, VP of Cisco’s Global Cloud Business Development Team, will discuss the importance of knowing who SMB...
Analyzing Hadoop jobs and speeding them up is often a tedious and time consuming effort that requires experts. In his upcoming session at 12th Cloud Expo | Cloud Expo New York [10-13 June, 2013], Michael Kopp will be showing how proven APM techniques can be used to speed up Hadoop jobs at the core, without going through tons of log files, beyond just adding more hardware and within minutes instead of hours or days.