Enabling Autonomic Meta-Scheduling in Grid Environments

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 themcan 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.

ITBVM: IT Business Value Modeler

“…The values usually come in the form of SLA requirements, which one may assume to have been based on business values. Examples include job scheduling algorithms, see [1] for an overview of types, optimization for a large but known 3-tier architecture [19], optimization for a Services Oriented Architecture (SOA) among providers of services with the same functional interface, and similar work where services adhere to other interfaces such as grid, autonomic, or cloud computing [20,14,22,15,11,10,23,24]. IT-BVM can be applied to use information available from, e.g., BPEL-designed environments.…”

Issues and scenarios for self-managing grid middleware

“…Autonomic systems are thus characterized by their ability to detect, devise and apply adaptations when needed. There has been a considerable effort recently on combining Grid computing with techniques of autonomic computing [16,20,2,21,5,18,10,9,8]. In this paper we are focusing on an autonomic architecture for a grid middleware supporting computational science.…”

Oferecimento de QoS para computação em nuvens por meio de metaescalonamento

“…Um Metaescalonador esconde a complexidade do mecanismo de escalonamento do usuário e provê uma forma transparente para execução dos serviços (Liu et al, 2008) (Heidt et al, 2008) (Mann, 2005). Além disso, um Metaescalonador tem como…”