Ms. Kalyani Munasinghe from the
University of Ruhuna research is mainly on the
areas of " Task Scheduling and
Load Balancing". Her
interest is to develop a load
balancing strategy for the
execution of prioritized tasks,
particularly in the context where there are a
large number of processors and an unbounded
number of priority levels.Kalyani Munasinghe
obtained her Licentiate of Philosophy
in Information Technolog in June,
2002.
Licentiate Thesis Title:
On Using Mobile Agents for Load Balancing in
High Performance Computing
Abstract:
One recent advance in software technology is
the development of software agents that can adapt
to changes in their environment and can cooperate
and coordinate their activities to complete a
given task. Such agents can be distributed over a
network.
Advances in hardware technology have meant
that clusters of workstations can be used to
create parallel virtual machines that bring the
power of parallel computing to a much wider
research and development community. Many software
packages are now being developed to utilise such
cluster environments.
In a cluster, each processor will be
multitasking and running other jobs
simultaneously with a distributed application
that uses a message passing environment such as
MPI. A typical application might be a large scale
mesh-based computation, such as a finite element
code, in which load balancing is equivalent to
mesh partitioning. When the load is varying
between processors within the cluster,
distributing the computation in equal amounts may
not deliver the optimum performance. Some
machines may be very heavily loaded by other
users while other processors may have no such
additional load. It may be beneficial to measure
current system information and use this
information when balancing the load within a
single distributed application program.
This thesis presents one approach to
distributing workload more efficiently in a multi-user
distributed environment by using mobile agents to
collect system information which is then
transmitted to all the MPI tasks. The thesis
contains a review of software agents and mesh
partitioning together with some numerical
experiments and a paper.
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