Reducing electricity cost through virtual machine placement in high performance computing clouds
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Auto-scaling to minimize cost and meet application deadlines in cloud workflows
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Game-based distributed resource allocation in horizontal dynamic cloud federation platform
ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part I
Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
Energy-efficient and multifaceted resource management for profit-driven virtualized data centers
Future Generation Computer Systems
A coordinator for scaling elastic applications across multiple clouds
Future Generation Computer Systems
Virtual machine provisioning through satellite communications in federated Cloud environments
Future Generation Computer Systems
Vision: a lightweight computing model for fine-grained cloud computing
Proceedings of the third ACM workshop on Mobile cloud computing and services
An Inter-cloud Outsourcing Model to Scale Performance, Availability and Security
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
A Coalitional Game-Based Mechanism for Forming Cloud Federations
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
Evaluation and establishment of trust in cloud federation
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
A QoS and profit aware cloud confederation model for IaaS service providers
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments
The Journal of Supercomputing
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Cloud federation has been proposed as a new paradigm that allows providers to avoid the limitation of owning only a restricted amount of resources, which forces them to reject new customers when they have not enough local resources to fulfill their customers' requirements. Federation allows a provider to dynamically outsource resources to other providers in response to demand variations. It also allows a provider that has underused resources to rent part of them to other providers. Both things could make the provider to get more profit when used adequately. This requires that the provider has a clear understanding of the potential of each federation decision, in order to choose the most convenient depending on the environment conditions. In this paper, we present a complete characterization of providers' federation in the Cloud, including decision equations to outsource resources to other providers, rent free resources to other providers (i.e. insourcing), or shutdown unused nodes to save power, and we characterize these decisions as a function of several parameters. Then, we demonstrate in the evaluation section how a provider can enhance its profit by using these equations to exploit federation, and how the different parameters influence which is the best decision on each situation.