Name
Abstract | ||
|---|---|---|
Given the geographic complexity of the cloud infrastructure distribution, both offline data center dimensioning and link dimensioning as well as online resource allocation strategies play a significant role in enhancing end-to-end performance. In this paper, a three-step offline capacity assignment approach is proposed to select the data center locations, dimension the data centers and network links in an arbitrary mesh topology. Then the performance of the capacity assignment approach is investigated using a number of joint allocation strategies. Simulation results show that by using joint online resource allocation strategies, up to 50% higher load can be offered to the system at a given blocking probability. In addition, the combination of using both optimized capacity assignment approach and joint allocation strategy can reduce the link bandwidth over-provisioning. Results also show that the joint allocation strategy is more robust against sub-optimal offline capacity assignment. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICC.2014.6883771 | ICC |
Keywords | DocType | ISSN |
joint allocation strategy,computer centres,link dimensioning,mesh topology,data center dimensioning,blocking probability,offline capacity assignment approach,online resource allocation,link bandwidth overprovisioning reduction,resource allocation,planning,geographic complexity,data center location selection,multiresource cloud infrastructure distribution,network links,offline data center dimensioning,cloud computing,probability,network topology,bandwidth,memory management,topology,next generation networking,resource management | Conference | 1550-3607 |
Citations | PageRank | References |
1 | 0.35 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xue Wang | 1 | 5 | 1.95 |
| Miguel Razo | 2 | 19 | 8.27 |
| Marco Tacca | 3 | 150 | 28.05 |
| A. Fumagalli | 4 | 309 | 44.27 |