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  Decision Making and Autonomic Computing in Cloud Computing and Virtualisation-based Environments


   Department of Computer Science

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  Dr R Sakellariou  Applications accepted all year round  Competition Funded PhD Project (Students Worldwide)

About the Project

The principles of ’Autonomic Computing’ are used to formulate a high-level strategy that could be used to build systems that can change their behaviour at run-time. Such systems are essential to cope with modern parallel/distributed environments where the status of the resources may change quickly in unpredictable ways. For example, allocation of work onto resources following a certain approach may no longer be a good option if the load of these resources (or the network connecting them) changes. A key problem with autonomic computing is how to implement solutions that propose appropriate actions to optimize the behaviour of a system because of such dynamic changes). To do this, a well-known mechanism is control theory, however, it has limitations and doesn’t apply to all situations. Other mechanisms are rule-based approaches, heuristics, and many more. An interesting project could combine these approaches and try to build a system that can choose an appropriate and good decision-making mechanism especially in the context of addressing trade-offs in Cloud Computing and related environments

Funding Notes

Candidates who have been offered a place for PhD study in the School of Computer Science may be considered for funding by the School. Each year around 20 new PhD students are awarded funding via the School. Further details on School funding can be found at: http://www.cs.manchester.ac.uk/study/postgraduate-research/programmes/phd/funding/school-studentships/.

In addition, exceptional students may be considered for the President's Doctoral Scholar Award and the Dean's Award. Further details on these opportunities can be found at: http://www.eps.manchester.ac.uk/our-research/funding/.


References

Supervisor's Webpage: http://www.cs.man.ac.uk/~rizos/.

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