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Business oriented grids call for effective Quality of Service strategies able to adapt to different user requirements. Performance analyses and predictions with respect to different load conditions or management policies are essential instruments to define such strategies. In this paper, we present a non-Markovian Stochastic Petri Net model that allows to conduct performance analyses of Grid systems...
To be competitive and to react faster to the market demands, Enterprises need new information processing techniques, able to analyse the increasing amount of produced data, and innovative solutions in order to manage the computational resources with better flexibility, scalability, efficiency and smaller costs. The traditional monolithic high performance computing paradigm is not suitable to achieve...
The technological trend and the advent of worldwide networks, such as the Internet, made distributed elaboration systems more and more powerful, increasing both the computing and the storage capabilities. In Grid computing infrastructures, the data storage subsystem is physically distributed among several nodes and logically shared among several users. This highlights the necessity of a) availability...
In the last few years grid computing is evolving into a business-innovating technology that is driving commercial adoption. Such a new scenario calls for powerful strategies able to guarantee stringent QoS requirements in order to meet SLAs between customers and provider. For this reason, it is necessary to analyze and predict performance with respect to different load conditions or management strategies...
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