Name
Abstract | ||
|---|---|---|
Elasticity in the cloud is often achieved by on-demand autoscaling. In such context, the goal is to optimize the Quality of Service (QoS) and cost objectives for the cloud-based services. However, the difficulty lies in the facts that these objectives, e.g., throughput and cost, can be naturally conflicted; and the QoS of cloud-based services often interfere due to the shared infrastructure in clo... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSC.2015.2499770 | IEEE Transactions on Services Computing |
Keywords | DocType | Volume |
Quality of service,Decision making,Interference,Optimization,Cloud computing,Throughput | Journal | 10 |
Issue | ISSN | Citations |
4 | 1939-1374 | 5 |
PageRank | References | Authors |
0.38 | 30 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Chen | 1 | 599 | 29.93 |
| Rami Bahsoon | 2 | 534 | 60.22 |