NDLI: Modeling Many-Task Computing Workloads on a Petaflop IBM Blue Gene/P Supercomputer

Content Provider	IEEE Xplore Digital Library
Author	Ke Wang Zhangjie Ma Raicu, I.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA (Ke Wang; Zhangjie Ma; Raicu, I.)
Abstract	Understanding the behavior of Bag-of-Tasks (BOT) is crucial for analyzing workflow-generated Many-Task Computing (MTC) workloads to aid in designing optimized job scheduling systems. Future job scheduling systems will need to be able to schedule large bags of tasks onto large-scale supercomputers and adaptive clouds with heterogeneous processors, I/O performance, and cost, all while minimizing job turn-around time and respecting the upper bound for the user-defined budget. Due to the strong periodicity and self-similarity during long time periods, BOTs have been shown to be an efficient approach for modeling High-Throughput Computing (HTC) workloads. However, applying the same analysis to MTC workloads poses significant challenges due to the significantly larger scale in terms of number of tasks, resource usage, and work granularity. In this paper, we extract two workloads from traces obtained from running MTC applications on a 40K-node IBM Blue Gene/P supercomputer and a 128-node Linux cluster. The traces span a 17-month period, cover 173M tasks, and have an average task runtime of 95 seconds. We propose methods to verify the existence of BOT arrival pattern, and ways to measure their impacts on system performance. We also examine the correlations among several BOT attributes, such as BOT size, runtime, CPU times, and inter-arrival time of BOT. The results show that the interarrival time of the two BOT workloads has Generalized Pareto (GP) distribution, and there are autocorrelations and cross-correlations among the BOT attributes.
Starting Page	2111
Ending Page	2120
File Size	1726412
Page Count	10
File Format	PDF
e-ISBN	9780769549798
DOI	10.1109/IPDPSW.2013.274
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Runtime Correlation Processor scheduling Many-Task Computing; MTC; Bag-of-Tasks; BOT; workload modeling Computational modeling Throughput Supercomputers
Content Type	Text
Resource Type	Article

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