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 Zhang | 1 | 56 | 12.88 |
Ke Xu | 2 | 1392 | 171.73 |
Haiyang Wang | 3 | 573 | 73.18 |
Li Qi | 4 | 345 | 67.01 |
Tong Li | 5 | 46 | 6.36 |
Cao Xuan | 6 | 2 | 0.36 |