Title :
Deciding When and How to Move HPC Jobs to the Cloud
Author :
Netto, Marco A. S. ; Cunha, Renato L. F. ; Sultanum, Nicole
Abstract :
Now used for high-performance computing applications, the cloud presents a challenge for users who must decide, based on efficiency and cost-effectiveness, when and how to run jobs on cloud-based resources versus when to use on-premise clusters. The authors propose a decision-support system to help make these determinations.
Keywords :
cloud computing; decision support systems; parallel processing; HPC jobs; cloud-based resources; decision-support system; high-performance computing applications; on-premise clusters; Benchmark testing; Cloud computing; Decision support systems; High performance computing; Monitoring; Queueing analysis; Resource management; Cloud Cover; DSS; HPC; benchmarking; cloud; decision-support system; high-performance computing;
DOI :
10.1109/MC.2015.351
