Name
Abstract | ||
|---|---|---|
Nowadays, the efficiency and even the feasibility of traditional load-balancing policies are challenged by the rapid growth of cloud infrastructure and the increasing levels of server heterogeneity. In such heterogeneous systems with many loadbalancers, traditional solutions, such as JSQ, incur a prohibitively large communication overhead and detrimental incast effects due to herd behavior. Altern... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNET.2020.2980061 | IEEE/ACM Transactions on Networking |
Keywords | DocType | Volume |
Servers,Load management,Load modeling,Queueing analysis,Analytical models,Stability analysis,IEEE transactions | Journal | 28 |
Issue | ISSN | Citations |
3 | 1063-6692 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shay Vargaftik | 1 | 47 | 6.22 |
| Isaac Keslassy | 2 | 986 | 72.83 |
| Ariel Orda | 3 | 2595 | 351.94 |