Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters
Proceedings of the 18th ACM international symposium on High performance distributed computing
Elastic Site: Using Clouds to Elastically Extend Site Resources
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
ZooKeeper: wait-free coordination for internet-scale systems
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Managing appliance launches in infrastructure clouds
Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery
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
Provisioning Policies for Elastic Computing Environments
IPDPSW '12 Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum
Rebalancing in a multi-cloud environment
Proceedings of the 4th ACM workshop on Scientific cloud computing
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Infrastructure clouds created ideal conditions for users to outsource their infrastructure needs by offering on-demand, shortterm access, pay-as-you-go business model, the use of virtualization technologies which provide a safe and cost-effective way for users to manage and customize their environments, and sheer convenience, as users and institutions no longer have to have specialized IT departments and can focus on their core mission instead. These key innovations however also bring challenges which include high levels of failure; lack of interoperability between cloud providers, which puts significant lock-in pressure on the user, and lack of tools that allow users to leverage the on-demand growing and shrinking of infrastructure. All these factors prevent users from capitalizing on the infrastructure cloud opportunity. In this paper we propose a multicloud auto-scaling service that enables the user to leverage "computational power on tap" provided by infrastructure clouds, i.e., allows the user to easily deploy resources across multiple private, community, and commercial clouds; provides high availability in that it allows users to replace failed resources; and scales to demand. The policies governing scaling are customizable based on system and application-specific indicators. We will describe the service architecture and implementation and discuss results obtained in the sustained deployment and management of thousands of virtual machines on EC2.