NDLI: EntomoModel: Understanding and Avoiding Performance Anomaly Manifestations

Content Provider	IEEE Xplore Digital Library
Author	Stewart, C. Kai Shen Iyengar, A. Jian Yin
Copyright Year	2010
Abstract	Subtle implementation errors or mis-configurations in complex Internet services may lead to performance degradations without causing failures. These undiscovered performance anomalies afflict many of today’s systems, causing violations of service-level agreements (SLAs), unnecessary resource over provisioning, or both. In this paper, we re-inserted realistic anomaly causes into a multi-tier Internet service architecture and studied their manifestations. We observed that each cause had certain workload and management parameters that were more likely to trigger manifestations, hinting that such parameters could be effective classifiers. This observation held even when anomaly causes manifested differently in combination than in isolation. Our study motivates EntomoModel, a framework for depicting performance anomaly manifestations. EntomoModel uses decision tree classification and a design-driven performance model to characterize the workload and management policy settings under which manifestations are likely. EntomoModel enables online system management that avoids anomaly manifestations by dynamically adjusting system management parameters. Our trace-driven evaluations show that manifestation avoidance based on EntomoModel, or entomophobic management, can reduce 98th percentile SLA violations by 67% compared to an anomaly oblivious adaptive approach. In a cloud computing scenario with elastic resource allocation, our approach uses less than half of the resources needed in static over-provisioning.
Starting Page	3
Ending Page	13
File Size	1212287
Page Count	11
File Format	PDF
ISBN	9781424481811
ISSN	15267539
DOI	10.1109/MASCOTS.2010.10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web server Web and internet services Databases Time factors Protocols Computer architecture
Content Type	Text
Resource Type	Article

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