Paper Info
Title
Integrating Theoretical Modeling and Experimental Measurement for Soft Resource Allocation in Multi-tier Web Systems
Abstract
Soft resources, which are system software components that use hardware or synchronize the use of hardware, are playing a critical role in the performance of multi-tier web systems, and thus it is quite important to tune the soft resource allocation for using the limited hardware resources to obtain maximum effectiveness. In this paper, we integrate both theoretical and experimental studies to the soft resource allocation problem. Specifically, we apply the queueing network model for formulating multi-tier web systems, and conduct experimental measurements based on the RUBiS benchmark system to obtain precise model parameters. Quantitative analysis is carried out, based on which an optimization model as well as an algorithm are put forward for soft resource allocation. The efficacy of our approach is validated by both theoretical analyses and experimental results.
Year
DOI
Venue
2016
10.1109/ICWS.2016.73
2016 IEEE International Conference on Web Services (ICWS)
Keywords
Field
DocType
soft resource allocation,performance,queueing network,multi-tier web system
System software,Web system,Data mining,Synchronization,Computer science,Queueing network models,Real-time computing,Resource allocation,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-2676-0
2
0.37
References 
Authors
15
6
Name
Order
Citations
PageRank
Yuliang Shi115428.48
Jiwei Huang217725.99
Xudong Zhao322.06
Lei (Chris) Liu496.95
Shijun Liu53116.68
Li-zhen Cui628271.41