The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Volunteer Computing and Desktop Cloud: The Cloud@Home Paradigm
NCA '09 Proceedings of the 2009 Eighth IEEE International Symposium on Network Computing and Applications
IEEE Internet Computing
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
Applying Software Engineering Principles for Designing Cloud@Home
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Toward an architecture for the automated provisioning of cloud services
IEEE Communications Magazine
Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud
IEEE Transactions on Parallel and Distributed Systems
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In most enterprises, utilisation of available computing power of personal computers (PC) is very low, and it is desirable to improve it without incurring side effects. Architecture of most existing IaaS frameworks is inadequate for said scenario involving PCs. These frameworks are mainly designed for server-class computing infrastructure of large data centres. They typically make assumptions about hypervisor type and related environment setup. Various aspects of virtual machine (VM) control are largely controlled by cloud front-end node. However, in the said scenario involving PCs, hypervisor is often a hosted type which runs as a regular operating system (OS) process. A novel architecture for infrastructure as a service (IaaS) cloud is proposed to addresses above said limitations. It makes use of real-time system-state information from cluster nodes and decentralises cluster node policy management, among other design decisions. We show that proposed architecture has better scalability, security, and availability.