Postgrad LIVE! Study Fairs

Birmingham | Edinburgh | Liverpool | Sheffield | Southampton | Bristol

University of Birmingham Featured PhD Programmes
University of Glasgow Featured PhD Programmes
University College London Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes

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

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr R Sakellariou
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

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

Related Subjects

How good is research at University of Manchester in Computer Science and Informatics?

FTE Category A staff submitted: 44.86

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

FindAPhD. Copyright 2005-2018
All rights reserved.