Paper Info
Title
Performance Model of MapReduce Iterative Applications for Hybrid Cloud Bursting.
Abstract
Hybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to boost the overall capacity during peak utilization) can be a cost-effective way to deal with the increasing complexity of big data analytics, especially for iterative applications. However, the low throughput, high latency network link between the on-premise and off-premise resources (“weak link”) makes maintaining scala...
Year
DOI
Venue
2018
10.1109/TPDS.2018.2802932
IEEE Transactions on Parallel and Distributed Systems
Keywords
Field
DocType
Cloud computing,Big Data,Estimation,Runtime,Task analysis,Data transfer,Adaptation models
Locality,Data transmission,Computer science,Granularity,Throughput,Big data,Performance prediction,Cloud computing,Scalability,Distributed computing
Journal
Volume
Issue
ISSN
29
8
1045-9219
Citations 
PageRank 
References 
3
0.36
0
Authors
4
Name
Order
Citations
PageRank
Francisco J. Clemente-Castelló1202.68
Bogdan Nicolae239229.51
Rafael Mayo376276.75
Juan Carlos Fernández4729.77