Name
Abstract | ||
|---|---|---|
Workload scaling is an approach to accelerating computation and thus improving response times by replicating the exact same request multiple times and processing it in parallel on multiple nodes and accepting the result from the first node to finish. This is not unlike a TV game show, where the same question is given to multiple contestants and the (correct) answer is accepted from the first to re... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MCC.2018.011791711 | IEEE Cloud Computing |
Keywords | Field | DocType |
cloud computing,data handling,electronic commerce,parallel processing,resource allocation,stochastic processes | Latency (engineering),Computer science,Workload,Computer security,Interference (wave propagation),Acceleration,Shared resource,Scaling,Cloud computing,Computation,Distributed computing | Journal |
Volume | Issue | ISSN |
5 | 1 | 2325-6095 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan F. Pérez | 1 | 106 | 11.80 |
| Lydia Y. Chen | 2 | 432 | 52.24 |
| Massimo Villari | 3 | 833 | 87.96 |
| Rajiv Ranjan | 4 | 4747 | 267.72 |