Title :
A synthetic bursty workload generation method for web 2.0 benchmark
Author :
Jianwei Yin ; Hanwei Chen ; Xingjian Lu ; Xinkui Zhao
Author_Institution :
Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
Abstract :
As one of most important characteristics of Web-based systems´workloads, burstiness is gaining more and more attentions. And synthetically generating bursty workloads is a key technique for performance analysis. In this paper, a configurable and intelligible synthetic bursty workload generation method for Web 2.0 benchmark Olio has been proposed based on 2-state Markovian arrival processes (MAP2). By comparing the actual value of index of dispersion for counts (IDC) estimated from system logs with the target value deduced from MAP2 model, we show that our method is more accurate than related work.
Keywords :
Internet; Markov processes; benchmark testing; software performance evaluation; system monitoring; 2-state Markovian arrival processes; MAP2 model; Olio; Web 2.0 benchmark; configurable synthetic bursty workload generation method; index of dispersion for counts; intelligible synthetic bursty workload generation method; performance analysis; system logs; Benchmark testing; Correlation; Generators; Sociology; Time factors; Zinc;
Conference_Titel :
Cluster Computing (CLUSTER), 2013 IEEE International Conference on
Conference_Location :
Indianapolis, IN
DOI :
10.1109/CLUSTER.2013.6702652
