Paper Info
Title
Analysis of Hypoexponential Computing Services for Big Data Processing
Abstract
The paper presents two analytical models to study the performance and availability of queueing systems with the hypo exponential service time and finite queue. The analytical results obtained are verified using discrete-event simulation. A few numerical examples for varying number of service stages, service rates and arrival rates are given. The results presented in the paper can be used for analysis of MapReduce and multi-stage big data processing.
Year
DOI
Venue
2015
10.1109/FiCloud.2015.57
FiCloud
Keywords
Field
DocType
big data processing, hypoexponential computing services, analytical models, performance and availability of queueing systems, discrete-event simulation
Big data processing,Exponential function,Computer science,Queue,Server,Queueing theory,Layered queueing network,Big data,Distributed computing,Discrete event simulation
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Sergey Zapechnikov193.42
Natalia Miloslavskaya24422.18
Alexander I. Tolstoy32812.41