Name
Abstract | ||
|---|---|---|
Burstable billing is widely adopted in practice, e.g., by colocation data center providers, to charge for their users, e.g., data centers, for data transferring. However, there is still a lack of research on what the best way is for a user to manage its workload in response to burstable billing. To overcome this shortcoming, we propose a novel method to optimally respond to burstable billing under demand uncertainty. First, we develop a tractable mathematical expression to calculate the 95th percentile usage of a user, who is charged by provider via burstable billing for bandwidth usage. This model is then used to formulate a new bandwidth allocation problem to maximize the useru0027s surplus, i.e., its net utility minus cost. Additionally, we examine different non-convex solution methods for the formulated stochastic optimization problem. We also extend our design to the case where a user can receive service from multiple providers, who all employ burstable billing. Using real-world workload traces, we show that our proposed method can reduce useru0027s bandwidth cost by 26% and increase its total surplus by 23%, compared to the current practice of allocating bandwidth on-demand. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Networking and Internet Architecture | Stochastic optimization,Burstable billing,Expression (mathematics),Workload,Bandwidth allocation,Computer science,Computer network,Bandwidth (signal processing),Data center,Percentile,Distributed computing |
DocType | Volume | Citations |
Journal | abs/1603.05752 | 0 |
PageRank | References | Authors |
0.34 | 14 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong Zhan | 1 | 14 | 3.33 |
| Mahdi Ghamkhari | 2 | 130 | 8.31 |
| Hossein Akhavan-Hejazi | 3 | 12 | 4.65 |
| Xu Du | 4 | 37 | 15.92 |
| Amir Hamed Mohsenian Rad | 5 | 1681 | 159.83 |