Using Static Code Analysis for Improvement of Job Data Availability in Bobox Task Scheduling

Krizik, Lukas; Čermák, Miroslav; Zavoral, Filip

doi:10.1007/978-3-319-24584-3_73

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2015

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“…It is necessary to balance the granularity, as too small or too coarse has negative impact to performance. This paper contain a con tinuation of our previous work [8] that was focused on short running tasks. In this paper, we propose an optimization method for the opposite problem: long running tasks that can create bottlenecks for some scenarios with cooperative scheduling.…”

Section: Resultsmentioning

confidence: 99%

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Using static code analysis to improve coarse task granularity in bobox

Krizik

Zavoral

Čermák

2015

2015 Tenth International Conference on Digital Information Management (ICDIM)

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Long-running tasks inhibit a parallel ex ecution in some cases. A finer task granularity can significantly improve execution times in parallel en vironment. That is even more significant when using cooperative scheduling and it puts higher requirements on user code. In this paper we present a method of user code optimization using static code analysis in order to reduce long-running tasks. The method is based on evaluation of runtime code complexity and yielding a task execution in an appropriate place.

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Section: Resultsmentioning

confidence: 99%

“…If tasks depend on each other in some way, they should keep balanced execution times as much as possible. To o short execution times cause that scheduling exceeds the real execution in the CPU consumption [8]. On the other hand, long execution times can inhibit parallelism by keeping dependent tasks out of an execution.…”

Section: Introductionmentioning

confidence: 97%