Efficient Cloud Resource Scheduling for Stochastic Demand with Heterogeneous Cost Models
Wei Wei, Yang Liu
Available Online November 2016.
- https://doi.org/10.2991/iwama-16.2016.22How to use a DOI?
- heterogeneous cost models; demand stochasticity; cloud computing; resource scheduling
- Distributed cloud platforms facilitate service providers to deliver geographically dispersed online services to a large number of users all over the world, while the aggregated user requests introduce stochastic demands for various resources in different cloud data centers. Resource scheduling in cloud platform is of high complexity due to various nonlinear cost models and multidimensional demand stochasticity. Existed scheduling algorithms generally utilize linear cost model, thus is hard to utilize budget efficiently. We proposed an efficient Heterogeneous Cost models oriented cloud Resource Scheduling (HCRS) to address the problem. Experiments results show that HCRS increase revenue by up to 40% than that in previous mean demand based algorithm and is of low enough complexity. Therefore, HCRS can be used as a candidate for scheduling in cloud platforms with heterogeneous cost models.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wei Wei AU - Yang Liu PY - 2016/11 DA - 2016/11 TI - Efficient Cloud Resource Scheduling for Stochastic Demand with Heterogeneous Cost Models BT - 6th International Workshop of Advanced Manufacturing and Automation PB - Atlantis Press SP - 117 EP - 123 SN - 2352-5428 UR - https://doi.org/10.2991/iwama-16.2016.22 DO - https://doi.org/10.2991/iwama-16.2016.22 ID - Wei2016/11 ER -