SETI@home: an experiment in public-resource computing
Communications of the ACM
Maximizing job benefits on multiprocessor systems using a greedy algorithm
ACM SIGBED Review - Special issue on the the 14th IEEE real-time and embedded technology and applications symposium (RTAS'08) WIP session
A Comparison and Critique of Eucalyptus, OpenNebula and Nimbus
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment
PAAP '10 Proceedings of the 2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming
Improving Utilization of Infrastructure Clouds
CCGRID '11 Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
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While cloud computing claims many advantages over prior computing paradigms such as high performance computing and grid computing, the Credit Union (CU) Cloud Computing Model [3] furthers many of the claimed advantages and tries to circumvent the inherent concern of human consumers for security and privacy with today's clouds due to lack of direct control. The key point of the CU Model lies in its fundamental principle -- utilizing the vast, under-utilized computing resources (CPU cycles, memory, disc space, etc.) in labs, offices and homes, and transforming them into self-provisioned community/organization-owned clouds mimicking the business model of Credit Unions in the financial industry. Such built clouds, called Credit Union clouds or CU clouds for short, bear greater advantages, e.g., vendor independence, improved availability (due to reduced Internet-dependence), and increased resource utilization. This paper reports an on-going project, named CuteCloud, that aims at putting the CU Model into practice, delivering a framework accompanied with a suite of tools in order to be used by any community/organization to quickly setup its self-provisioned, secure, and community/organization-owned (and typically on-premise) clouds.