Paper Info
Title
Real-Time Soft Resource Allocation in Multi-Tier Web Service Systems
Abstract
Soft resource allocation is an important factor of system configuration which plays a critical role in guaranteeing the performance of multi-tier web service systems. There is a tradeoff between real-time performance and resource consumption, and thus the real-time adjustment of soft resource allocation in response to dynamic workload is quite challenging. In this paper, we propose a real-time soft resource allocation method that integrates both model-based analysis and real-time optimization. Specifically, a multi-tier web service system is firstly formulated by a queueing network model, and theoretical analyses are provided. Then, an optimization approach for real-time soft resource allocation is designed by applying sliding window techniques, in order to cope with dynamic workloads and performance demands. Based on the RUBiS benchmark system, model parameters are obtained by measurements and the efficacy of our approach is finally validated.
Year
DOI
Venue
2017
10.1109/ICWS.2017.57
2017 IEEE International Conference on Web Services (ICWS)
Keywords
Field
DocType
soft resource allocation,queueing network model,sliding window,real-time,web service system
Resource consumption,Resource management,Data mining,Sliding window protocol,Workload,Computer science,Server,Quality of service,Real-time computing,Resource allocation,Web service,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-0753-4
0
0.34
References 
Authors
17
7
Name
Order
Citations
PageRank
Xudong Zhao122.06
Jiwei Huang217725.99
Lei (Chris) Liu396.95
Yuliang Shi415428.48
Shijun Liu512033.80
Calton Pu65377877.83
Li-zhen Cui728271.41