Maximum Pressure Policies in Stochastic Processing Networks
Operations Research
A New and Improved Design for Multiobject Iterative Auctions
Management Science
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
The cost of a cloud: research problems in data center networks
ACM SIGCOMM Computer Communication Review
Computing arbitrary functions of encrypted data
Communications of the ACM
Communications of the ACM
Designing and evaluating an energy efficient Cloud
The Journal of Supercomputing
Characterizing cloud computing hardware reliability
Proceedings of the 1st ACM symposium on Cloud computing
Efficient resource provisioning in compute clouds via VM multiplexing
Proceedings of the 7th international conference on Autonomic computing
Optimality analysis of energy-performance trade-off for server farm management
Performance Evaluation
Guaranteeing High Availability Goals for Virtual Machine Placement
ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
Power-performance trade-offs in IaaS cloud: A scalable analytic approach
DSNW '11 Proceedings of the 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops
A Clock-and-Offer Auction Market for Grid Resources When Bidders Face Stochastic Computational Needs
INFORMS Journal on Computing
Differentiated Availability in Cloud Computing SLAs
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
Power-aware linear programming based scheduling for heterogeneous computer clusters
Future Generation Computer Systems
Special Section Introduction: Cloud Computing as a Service
Service Science
Approximating the Response Time Distribution of Fault-Tolerant Multi-tier Cloud Services
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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This paper argues that the cloud computing industry faces many decision problems where operations research OR could add tremendous value. To this end, we provide an OR perspective on cloud computing in three ways. First, we compare the cloud computing process with the traditional pull supply chain and introduce the cloud IT supply chain as the system of moving information from suppliers to consumers through the cloud network. Second, based on this analogy, we organize the cloud computing decision space by identifying the problems that need to be solved by each player in the supply chain---namely, 1 cloud providers, 2 cloud consumers, and 3 cloud brokers. We list the OR problems of interest from each player's perspective and discuss the tools that may need to be developed to solve them. Third, we survey past and current research in this space and discuss future research opportunities in cloud computing operations research.