% Thesis Abstract ----------------------------------------------------- %\begin{abstractslong}    %uncommenting this line, gives a different abstract heading\begin{abstracts}        %this creates the heading for the abstract page With growing acceptance of clusters and grids, the parallel programmingparadigm is coming out from the research community to the business domain.Unfortunately the applications in the business domain are typically dataflow workloads which differ significantly from the traditional highperformance computing(HPC) workloads.  Most of the existing workload distributionsolutions concentrate more on HPC applications and are not efficient in quickly deploying the dynamic workload involving large number of small jobs which is the typical case in dataflow applications.Also developing and deploying applications on existing infrastructures still is a non-trivial task requiring special runtimes, middleware support and/or language dependence. We have explored an alternate approach for simplifying workloaddistribution and aggregation based on synthetic filesystems and the privatenamespace concepts of Plan 9.  Instead of sending workloads to a remotecluster, XCPU3 works by bringing the remote cluster to the user's desktop,leading to full control over the compute environment.   XCPU3 providesa filesystem interface, making it runtime and language agnostic.  It alsoallows executing multiple jobs simultaneously in isolation, leading tobetter resource utilization.  XCPU3 makes all nodes independent andequivalent in functionality leading to the ability to localize thedecision making and ability to handle dynamic workloads.  XCPU3 provides easy to use, flexible and scalable infrastructure for workload distribution and aggregation that can be used by dynamic workloads and dataflow applications. \end{abstracts}%\end{abstractlongs} % ---------------------------------------------------------------------- %%% Local Variables: %%% mode: latex%%% TeX-master: "../thesis"%%% End: