Towards a Service-Oriented Ad Hoc Grid

Abstract

In its current state, service-oriented grid computing focuses on the unification of resources through virtualization, to enable on demand distributed computing within a preconfigured environment. Organizations or inter-organizational communities willing to share their computational resources typically create a centrally planned grid, where dedicated grid administrators manage the nodes and the offered grid services. In this paper, we present the idea of a spontaneously formed, service-oriented ad hoc grid to harness the unused resources of idle networked workstations and high-performance computing nodes on demand. We discuss the requirements of such an ad hoc grid, show how the service-oriented computing paradigm can be used to realize it and present a proof-of-concept implementation based on the Globus Toolkit 3.0. The features of this system are peer-to-peer based node discovery, automatic node property assessment, hot deployment of services into a running system and added interservice security.

A resource selection scheme for QoS satisfaction and load balancing in ad hoc grid

“…The proposed mechanism is based on the emergent behavior of the participating nodes and adapts with respect to changes in the ad hoc grid environment. Smith et al [26] presented the idea of a spontaneously formed, service-oriented ad hoc grid to harness the unused resources of idle networked workstations and highperformance computing nodes on demand. They discuss the requirements of an ad hoc grid, show how the service-oriented computing paradigm can be used to realize it, and present a proof-of-concept implementation based on the Globus Toolkit 3.0.…”

HAND: Highly Available Dynamic Deployment Infrastructure for Globus Toolkit 4

“…These and a few other projects [14,17] are the main dynamic deployment efforts for Grid applications. Some of them clearly are not intended for a WSRF-enabled service-oriented architecture.…”

“…Experience within ChinaGrid [1,9] and elsewhere [2,17] has emphasized the importance of dynamic service deployment and management as an enabler of dynamically extensible virtual organizations (VOs) [8]. More specifically, we identify the following requirements when services are hosted on a dynamic management-enabled Grid:…”

“…And in both cases, the polynomial time are all O(x 2 ). To enable direct comparison with other dynamic deployment enabled containers, we repeated our experiments on the Apache Tomcat container (version 5.0.30), as used by Weissman et al [2,3] and Matthew et al [17]. (However, we note that we use GT4, not GT3 as used by those authors.)…”

Scheduling parallel batch jobs in grids with evolutionary metaheuristics

“…The concept of grids is being studied by researchers in many fields, including highperformance computing (Foster and Kesselman 1998), networking (Smith et al 2004), distributed systems (Casanova 2002), and web services (Parastatidis et al 2005). One of the most important issues, from both practical and theoretical points of view, related to grids is job scheduling and load balancing.…”