A framework for adaptive execution in grids
Software—Practice & Experience
EDAS: providing an environment for decentralized adaptive services
DSM '05 Proceedings of the 2nd international doctoral symposium on Middleware
Adjusted fair scheduling and non-linear workload prediction for QoS guarantees in grid computing
Computer Communications
Capacity planning and scheduling in Grid computing environments
Future Generation Computer Systems
Future Generation Computer Systems
Self-adjustment of resource allocation for grid applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Co-scheduling in Lambda Grid Systems by means of Ant Colony Optimization
Future Generation Computer Systems
Decentralized Co-allocation of Interrelated Resources in Dynamic Environments
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
An innovative perspective on mapping in grids
BADS '09 Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems
A multi-level scheduler for the grid computing YML framework
Euro-Par'06 Proceedings of the CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics conference on Parallel processing
An adaptive multisite mapping for computationally intensive grid applications
Future Generation Computer Systems
A game-theoretic method of fair resource allocation for cloud computing services
The Journal of Supercomputing
A distributed bio-inspired method for multisite grid mapping
Applied Computational Intelligence and Soft Computing - Special issue on theory and applications of evolutionary computation
Agents, clusters and components: A synergistic approach to the GSP
Future Generation Computer Systems
Weight-balanced security-aware scheduling for real-time computational grid
International Journal of Grid and Utility Computing
A meta-scheduling service for co-allocating arbitrary types of resources
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Supporting efficient execution of MPI applications across multiple sites
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
Design and analysis of a distributed grid resource discovery protocol
Cluster Computing
DQMP: a decentralized protocol to enforce global quotas in cloud environments
SSS'12 Proceedings of the 14th international conference on Stabilization, Safety, and Security of Distributed Systems
The Charité Grid Portal: User-friendly and Secure Access to Grid-based Resources and Services
Journal of Grid Computing
An Adaptive Scheduler Framework for Complex Workflow Jobs on Grid Systems
International Journal of Distributed Systems and Technologies
Security Driven Scheduling Model for Computational Grid Using NSGA-II
Journal of Grid Computing
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In this chapter we present a general architecture or plan for scheduling on a Grid. A Grid scheduler (or broker) must make resource selection decisions in an environment where it has no control over the local resources, the resources are distributed, and information about the systems is often limited or dated. These interactions are also closely tied to the functionality of the Grid Information Services. This Grid scheduling approach has three phases: resource discovery, system selection, and job execution. We detail the steps involved in each phase.