Title
Going Fast and Fair: Latency Optimization for Cloud-Based Service Chains
Abstract
State-of-the-art microservices have been attracting more attention in recent years. A broad spectrum of online interactive applications are now programmed to service chains on the cloud, seeking better system scalability and lower operating costs. Different from the conventional batch jobs, most of these applications consist of multiple stand-alone services that communicate with each other. These ...
Year
DOI
Venue
2018
10.1109/MNET.2017.1700275
IEEE Network
Keywords
Field
DocType
Servers,Acceleration,Cloud computing,Algorithm design and analysis,Optimization,Resource management,Heuristic algorithms
Algorithm design,Latency (engineering),Computer science,Server,Computer network,Queueing theory,Batch processing,Microservices,Cloud computing,Scalability,Distributed computing
Journal
Volume
Issue
ISSN
32
2
0890-8044
Citations 
PageRank 
References 
2
0.36
0
Authors
6
Name
Order
Citations
PageRank
Yuchao Zhang15612.88
Ke Xu21392171.73
Haiyang Wang357373.18
Li Qi434567.01
Tong Li5466.36
Cao Xuan620.36