Enabling autonomic meta-scheduling in Grid Environments Conference

cited authors

  • Liu, Y; Sadjadi, SM; Fong, L; Rodero, I; Villegas, D; Kalayci, S; Bobroff, N; Martinez, JC

fiu authors

abstract

  • Grid computing supports workload execution on computing resources that are shared across a set of collaborative organizations. At the core of workload management for Grid computing is a software component, called meta-scheduler or Grid resource broker, that provides a virtual layer on top of heterogeneous Grid middleware, schedulers, and resources. Meta-schedulers typically enable end-users and applications to compete over distributed shared resources through the use of one or more instances of the same meta-scheduler, in a, centralized or distributed manner, respectively. We propose an approach to enabling autonomic meta-scheduling through the use of a new communication protocol that -if adopted by different meta-schedulers or by the applications using them-can improve the workload execution while avoiding potential chaos, which can be resulted from blind competition over resources. This can be made possible by allowing the metaschedulers and/or their applications to engage in a process to negotiate their roles (e.g., consumer, provider, or both), scheduling policies, service-level agreement, etc. To show the feasibility of our approach, we developed a prototype that enables some preliminary autonomic management among three different meta-schedulers, namely, GridWay, eNANOS, and TDWB. © 2008 IEEE.

publication date

  • September 18, 2008

Digital Object Identifier (DOI)

start page

  • 199

end page

  • 200