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Analysis and design of communication systems in today's dynamically changing environment face a lot of challenges. Networks can become overloaded at one moment and underutilized at the next. In a randomly changing environment, such as time-varying arrivals, variable bandwidth demands, data traffic integrated with streaming traffic, and burst traffic with correlated arrivals, performance and dimensioning issues become very complicated. Little research has been carried out on dimensioning a system in such an environment to meet quality of service requirement. In this dissertation, one of our...

The network alignment has been formulated formally. While there are some variations among the tools, the key idea is similar: to combine gene sequence information and protein-protein interaction (PPI) network information to find conserved interaction regions across species. A biological interpretation of network alignment is to find functional homologues across different organisms. The general problem, known as the problem of finding common subgraphs across multiple networks, is NP-hard. Heuristic methods combining sequence, interaction and functional similarities have been developed to...

Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students.

• Explains how to optimally model and schedule computing resources in cloud computing
• Provides in depth quality analysis of different load-balance and energy-efficient...