Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
On the Rate of Convergence of Optimal Solutions of Monte Carlo Approximations of Stochastic Programs
SIAM Journal on Optimization
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Heuristic for resources allocation on utility computing infrastructures
Proceedings of the 6th international workshop on Middleware for grid computing
pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems
Middleware '08 Proceedings of the ACM/IFIP/USENIX 9th International Middleware Conference
The cost of a cloud: research problems in data center networks
ACM SIGCOMM Computer Communication Review
GreenCloud: a new architecture for green data center
ICAC-INDST '09 Proceedings of the 6th international conference industry session on Autonomic computing and communications industry session
Optimal power allocation in server farms
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
An integer programming approach for linear programs with probabilistic constraints
Mathematical Programming: Series A and B
Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Optimality analysis of energy-performance trade-off for server farm management
Performance Evaluation
Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science
Transparent adaptation of e-science applications for parallel and cycle-sharing infrastructures
Proceedings of the 11th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Future Generation Computer Systems
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
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Energy efficiency and computational reliability are two key concerns associated with modern computations that involve computational resource sharing and highly uncertain job arrivals from various sources (customers). In 2010, large-scale data center operations consume around 2% of the total energy use in the US. Meanwhile, the development of cloud computing in the IT industry possesses great potential for lowering energy consumption by partitioning and scheduling job requests among multiple computational servers. In this paper, we formulate stochastic integer programming models to minimize energy consumption of cloud computing servers over finite time periods, while maintaining a pre-specified quality of service (QoS) level for satisfying uncertain computational requests. The models dynamically monitor and predict customer requests for each period, and proactively switch servers on/off according to estimated customer requests. QoS levels are maintained by either enforcing zero unsatisfied requests, or imposing a joint chance constraint to bound possible failures in a backlogging model. When uncertain requests follow continuous distributions, we employ the Sampling Average Approximation for generating scenario-based requests. Such an approach transforms the original probabilistic model into deterministic mixed-integer linear programs. We further demonstrate computational results of all models by testing instances with different parameter combinations, and investigate how backlogging, unit penalty cost and QoS levels influence computational performances and optimal solutions.