NDLI: Two-tier resource allocation for slowdown differentiation on server clusters

Content Provider	IEEE Xplore Digital Library
Author	Xiaobo Zhou Cai, Yu. Chow, C.E. Augusteijn, M.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Colorado Univ., Colorado Springs, CO, USA (Xiaobo Zhou; Cai, Yu.; Chow, C.E.; Augusteijn, M.)
Abstract	Slowdown, defined as the ratio of a request's queueing delay to its service time, is accepted as an important quality of service metric of Internet servers. In this paper, we investigate the problem of providing proportional slowdown differentiation (PSD) services to various applications and clients on cluster-based Internet servers. We extend a closed-form expression of the expected slowdown of a popular Internet workload model with a typical heavy-tailed service time distribution from a single server mode to a server cluster mode. Based on the closed-form expression, we design a two-tier resource allocation approach, which integrates a dispatcher-based node partitioning scheme and a server-based dynamic process allocation scheme. We evaluate the two-tier resource allocation approach via extensive simulations and compare it with an one-tier node partitioning approach. Simulation results show that the two-tier approach can provide fine-grained PSD services on cluster-based Internet servers. We implement the two-tier approach on a cluster testbed. Experimental results further demonstrate the feasibility of the approach in practice.
Sponsorship	Int. Assoc. for Comput. and Commun. (IACC) Simula Res. Lab. The Res. Council of Norway The Univ. of Oslo
Starting Page	31
Ending Page	38
File Size	175120
Page Count	8
File Format	PDF
ISBN	0769523803
ISSN	01903918
DOI	10.1109/ICPP.2005.78
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-14
Publisher Place	Norway
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Web server Web and internet services Delay effects Quality of service Network servers Measurement Closed-form solution Computer science Springs
Content Type	Text
Resource Type	Article

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