Article (Scientific journals)
CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing
Kliazovich, Dzmitry; Pecero, Johnatan E.; Tchernykh, Andrei et al.
2016In Journal of Grid Computing, 14 (1), p. 23-39
Peer Reviewed verified by ORBi
 

Files


Full Text
ca-dag-JGC.pdf
Publisher postprint (1.27 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Cloud computing; communication awareness; resource allocation
Abstract :
[en] This paper addresses performance issues of resource allocation in cloud computing. We review requirements of different cloud applications and identify the need of considering communication processes explicitly and equally to the computing tasks. Following this observation, we propose a new communication-aware model of cloud computing applications, called CA-DAG. This model is based on Directed Acyclic Graphs that in addition to computing vertices include separate vertices to represent communications. Such a representation allows making separate resource allocation decisions: assigning processors to handle computing jobs, and network resources for information transmissions. The proposed CA-DAG model creates space for optimization of a number of existing solutions to resource allocation and for developing novel scheduling schemes of improved efficiency.
Disciplines :
Computer science
Author, co-author :
Kliazovich, Dzmitry ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Pecero, Johnatan E.
Tchernykh, Andrei
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
khan, Samee U.
Zomaya, Albert Y.
External co-authors :
yes
Language :
English
Title :
CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing
Publication date :
2016
Journal title :
Journal of Grid Computing
ISSN :
1572-9184
Publisher :
Springer, Dordrecht, Netherlands
Volume :
14
Issue :
1
Pages :
23-39
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 17 May 2015

Statistics


Number of views
192 (2 by Unilu)
Number of downloads
908 (3 by Unilu)

Scopus citations®
 
67
Scopus citations®
without self-citations
49
OpenCitations
 
51
WoS citations
 
45

Bibliography


Similar publications



Contact ORBilu