Title
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters
Abstract
It has become a recent trend that large volumes of data are generated, stored, and processed across geographically distributed datacenters. When popular data parallel frameworks, such as MapReduce and Spark, are employed to process such geo-distributed data, optimizing the network transfer in communication stages becomes increasingly crucial to application performance, as the inter-datacenter link...
Year
DOI
Venue
2022
10.1109/TPDS.2021.3093232
IEEE Transactions on Parallel and Distributed Systems
Keywords
DocType
Volume
Data analysis,Routing,Bandwidth,Task analysis,Sparks,Optimization,Internet
Journal
33
Issue
ISSN
Citations 
2
1045-9219
1
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
Li Chen121.06
Shuhao Liu210.37
Baochun Li39416614.20