Relative Performance of Scheduling Algorithms in Grid Environments
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Adaptive control of virtualized resources in utility computing environments
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Scheduling strategies for mapping application workflows onto the grid
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
Agile dynamic provisioning of multi-tier Internet applications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A toolkit for modelling and simulating data Grids: an extension to GridSim
Concurrency and Computation: Practice & Experience
High-Performance Resource Allocation and Request Redirection Algorithms for Web Clusters
IEEE Transactions on Parallel and Distributed Systems
Automated control in cloud computing: challenges and opportunities
ACDC '09 Proceedings of the 1st workshop on Automated control for datacenters and clouds
Hi-index | 0.00 |
Cloud computing opens new opportunities for application providers because with the policy "add as needed and pay as used" they can economize the cost for computing resources. In cloud environments, issues such as resource allocation and dynamic resource provisioning based on users' QoS constraints are yet to be addressed for interactive workflow applications. This paper develops an effective load metric, remaining tasks, for interactive workflow applications. Based on this metric load dispatching and dynamic resource provisioning approaches are proposed which outperform existing methods under a series of simulation evaluations. Experimental results show that the proposed approaches offer application providers better maintenance of QoS-satisfied response time under time-varying workload, at the minimum cost of resource usage.