Naslov
Scheduling and planning job execution of loosely coupled applications

Autori
Afgan, Enis ; Bangalore, Purushotham ; Skala, Tibor

Izvornik
Journal of supercomputing (0920-8542) 59 (2012), 3; 1431-1454

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
distributed architectures ; load balancing and task assignment ; scheduling and task partitioning ; user interfaces

Sažetak
Growth in availability of data collection devices has allowed individual researchers to gain access to large quantities of data that needs to be analyzed. As a result, many labs and departments have acquired considerable compute resources. However, effective and efficient utilization of those resources remains a barrier for the individual researchers because the distributed computing environments are difficult to understand and control. We introduce a methodology and a tool that automatically manipulates and understands job submission parameters to realize a range of job execution alternatives across a distributed compute infrastructure. Generated alternatives are presented to a user at the time of job submission in the form of tradeoffs mapped onto two conflicting objectives, namely job cost and runtime. Such presentation of job execution alternatives allows a user to immediately and quantitatively observe viable options regarding their job execution, and thus allows the user to interact with the environment at a true service level. Generated job execution alternatives have been tested through simulation and on real-world resources and, in both cases, the average accuracy of the runtime of the generated and perceived job alternatives is within 5%.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Grafička tehnologija, Računarstvo

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