Open Data Center Alliance, Part 9--I/O Controls

 
 
Cameron Sturdevant Cameron Sturdevant is the executive editor of Enterprise Networking Planet. Prior to ENP, Cameron was technical analyst at PCWeek Labs, starting in 1997. Cameron finished up as the eWEEK Labs Technical Director in 2012. Before his extensive labs tenure Cameron paid his IT dues working in technical support and sales engineering at a software publishing firm . Cameron also spent two years with a database development firm, integrating applications with mainframe legacy programs. Cameron's areas of expertise include virtual and physical IT infrastructure, cloud computing, enterprise networking and mobility. In addition to reviews, Cameron has covered monolithic enterprise management systems throughout their lifecycles, providing the eWEEK reader with all-important history and context. Cameron takes special care in cultivating his IT manager contacts, to ensure that his analysis is grounded in real-world concern. Follow Cameron on Twitter at csturdevant, or reach him by email at cameron.sturdevant@quinstreet.com.
By Cameron Sturdevant  |  Posted 2011-06-24 Email Print this article Print
 
 
 
 
 
 
 
2011-06-24 part 9 io controls

This ODCA diagram illustrates the components that might contend for bandwidth and cause I/O bottlenecks.

The Open Data Center Alliance Input/Output Controls is a short document that references one of the big problems raised by increased virtual machine density in a cloud environment: I/O contention.

The Open Data Center Alliance (ODCA) uses the Input/Output Controls (I/O) usage model to weigh in on the side of work being done my NIST (National Institute of Standards and Technology) and the DMTF (Distributed Management Task Force) when it comes to I/O bottlenecks. To control for I/O bottlenecks, the I/O Controls publication focuses on monitoring, SLA metrics, APIs, timeslice controls, and I/O reservations. The fundamental expectation of the I/O Control publication is that all of these requirements could be met in multi-vendor environments using non-proprietary protocols.

IT managers should look at the underlying monitoring and reporting capabilities as a basis for setting appropriate SLAs. When combined with information from the Service Catalog, the two publications together give a good overview of what cloud computing is capable of delivering today.

As I conclude this series of blog entries, it's important to remember that these are the first versions of the ODCA usage models. I recommend that IT managers should look through all of the publications and see where the specific measures and requirements can be added to vendor requests. I think the ODCA is on the right track in coming together to promote ways to make it easier for cloud consumers to make better choices among the vendors who offer cloud services.

Table of Contents for the Series:

1. IT Users Band Together: a brief introduction to the ODCA 2. Virtual Machine Interoperability 3. Carbon Footprint 4. Security Monitoring 5. Security Provider Assurance 6. Regulatory Framework 7. Standard Units of Measure for IaaS 8. Service Catalog 9. I/O Controls

 
 
 
 
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