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

Primary supervisor

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Funding

  • Competition Funded Project (Students Worldwide)
This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.

Project description

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

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