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Need of Quantitative Evaluation of Reliability of Cloud Based Services
The paradigm of cloud computing has been ushered in due to the requirement of providing resources to the users in a flexible, scalable and transparent fashion. This is the reason development of new evaluation techniques for quantitative measurement of reliability of cloud services and efficient planning and expansion of cloud computing systems (CCS) has also become necessary. A new and scalable algorithm based upon non-sequential Monte Carlo Simulation is now being used for evaluating the reliability of large scale cloud computing systems. A new iterative algorithm is also proposed and being developed and the combination of these two algorithms now make it possible for both the cloud hosting services and users to evaluate CCS as it not only provides a new method for parameter estimation of the service level agreements and also the design of the system for meeting those contractual requirements.
As cloud based services provide a cost effective way of transparently providing scalable computing resources, matching the exact requirements of their individual as well corporate clients and the society is now heavily relying upon it – issues like inaccessibility or failure can lead to major problems. Currently about $285 million is lost every year due to such failures and that makes systematic evaluation of reliability of cloud computing systems all the more important. That is also the reason for which most of the largest cloud computing companies are now making heavy investments with an eye on enhancing the reliability, availability and also security of the cloud based services offered by them.
From the users point of view, there is a greater need of highly available and reliable cloud services and that makes cloud providers responsible for providing them not only high level of availability and reliability for meeting the quality of service requirements and service level agreements but also systems those can be highly utilized. Under these circumstances a balance is required to be struck between maximum utilization of CCS and their high reliability and availability. From the perspective of the cloud service provider, degradation in terms of reliability is perhaps more preferred as long as they continue to make profits, for in reality it is the user and not the service provider who suffers the economic loss caused by failure of cloud based systems. While checking out the reliability factor of the cloud services opted for, one needs to keep in mind that reliability, in this particular case doesn’t refer to simple failure occurring within a CCS but doesn’t hinder user services but the ability of the cloud computing service to serve the user’s requirements over a period of time.
For cloud hosting services providing highly reliable and uninterrupted cloud based services, effective utilization of all the available resources is of preliminary importance and that is the reason they are focusing upon development of quantitative evaluation methods for CCS based upon the actual requirements of the users. For more information on quantitative evaluation of reliability of cloud based services, you can browse Horizontech.com
About The Author
Tony Rogers is an expert in modern computing and related services who likes to write many interesting articles and blogs, helping people to understand the nuances of the industry. He recommends Horizontech.com as the best name to trust for the most reliable cloud computing services.