• Staffordshire University Featured PhD Programmes
  • University of Cambridge Featured PhD Programmes
  • University of Pennsylvania Featured PhD Programmes
  • University of Tasmania Featured PhD Programmes
  • Aberdeen University Featured PhD Programmes
University of Liverpool Featured PhD Programmes
Norwich Research Park Featured PhD Programmes
University of Liverpool Featured PhD Programmes
Imperial College London Featured PhD Programmes
University of Tasmania Featured PhD Programmes

Job and Task Scheduling and Resource Allocation on Parallel/Distributed machines by Supervisor

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 Sakellariou
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Scheduling parallel jobs onto machines is one of the most important problems to meet any performance objectives in parallel and distributed systems. The objective may be to minimize execution time, but one may want to meet other objectives at the same time, such as good resource utilization, energy-efficiency, income generation, etc. As the problem is NP-complete in general, there is lots of work on heuristics and sub-optimal solutions. The target environments could vary: they could be distributed environments, clouds, multicore machines, GPUs, etc. These different environments change the parameters that lead to good solutions. There is already significant expertise on various forms of DAG scheduling (particularly influenced by workflow scheduling) problems and I am happy to discuss and shape a project related to any type of resource allocation, optimization criterion, and platform (multicore, manycore, cloud, etc).

For past work please check relevant publications from http://www.cs.man.ac.uk/~rizos/publications.html

Keywords: Parallelism, Scheduling, Workflow, DAG

Funding Notes

The School has full scholarship opportunities for home and EU students. For international students, the School has fees contribution awards. These awards are awarded on a competitive basis.

Further information on funding can be found here: http://www.cs.manchester.ac.uk/study/postgraduate-research/programmes/phd/funding/

References

The minimum requirements to get a place in our PhD programme are available from:
http://www.cs.manchester.ac.uk/phd/entryrequirements/

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
Share this page:

Cookie Policy    X