Scaling up workflow-based applications
Journal of Computer and System Sciences
Experiences with resource provisioning for scientific workflows using Corral
Scientific Programming
Grids and Clouds: Making Workflow Applications Work in Heterogeneous Distributed Environments
International Journal of High Performance Computing Applications
Elastic Cloud Caches for Accelerating Service-Oriented Computations
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
Modelling pilot-job applications on production grids
Euro-Par'09 Proceedings of the 2009 international conference on Parallel processing
Autonomic resource provisioning in cloud systems with availability goals
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
An agent based network resource planner for workflow applications
Multiagent and Grid Systems - Agent Based Computing: From Model to Implementation
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Scientists in many fields are developing large-scale workflows containing millions of tasks and requiring thousands of hours of aggregate computation time. Acquiring the computational resources to execute these workflows poses many challenges for application developers. Although the grid provides ready access to large pools of computational resources, the traditional approach to accessing these resources suffers from many overheads that lead to poor performance. In this paper we examine several techniques based on resource provisioning that may be used to reduce these overheads. These techniques include: advancereservations, multi-level scheduling, and infrastructure as a service (IaaS). We explain the advantages and disadvantages of these techniques in terms of cost, performance and usability.