Modeling performance of heterogeneous parallel computing systems
Parallel Computing
Adaptive parallel computing on heterogeneous networks with mpC
Parallel Computing
A service-oriented middleware for building context-aware services
Journal of Network and Computer Applications
An abstraction model for a Grid execution framework
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Parallel, distributed and network-based processing
Journal of Parallel and Distributed Computing
Future Generation Computer Systems
Review: A survey on security issues in service delivery models of cloud computing
Journal of Network and Computer Applications
Computing - Cloud Computing
Modeling and survivability analysis of service composition using Stochastic Petri Nets
The Journal of Supercomputing
Editorial: Advanced topics in cloud computing
Journal of Network and Computer Applications
Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing
IEEE Transactions on Parallel and Distributed Systems
Stochastic game net and applications in security analysis for enterprise network
International Journal of Information Security
Resource reconstruction algorithms for on-demand allocation in virtual computing resource pool
International Journal of Automation and Computing
Functional verification of signature detection architectures for high speed network applications
International Journal of Automation and Computing
The Journal of Supercomputing
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Cloud computing can provide a great capacity for massive computing, storage as well as processing. The capacity comes from the cloud computing system itself, which can be likened to a virtualized resource pool that supports virtualization applications as well as load migration. Based on the existing technologies, the paper proposes a resource virtualization model (RVM) utilizing a hybrid-graph structure. The hybrid-graph structure can formally represent the critical entities such as private clouds, nodes within the private clouds, and resource including its type and quantity. It also provides a clear description of the logical relationship and the dynamic expansion among them as well. Moreover, based on the RVM, a resource converging algorithm and a maintaining algorithm of the resource pool which can timely reflect the dynamic variation of the private cloud and resource are presented. The algorithms collect resources and put them into the private cloud resource pools and global resource pools, and enable a real-time maintenance for the dynamic variation of resource to ensure the continuity and reliability. Both of the algorithms use a queue structure to accomplish functions of resource converging. Finally, a simulation platform of cloud computing is designed to test the algorithms proposed in the paper. The results show the correctness and the reliability of the algorithms.