Engineering Commons^™

A Dynamic Programming Approach: Improving The Performance Of Wireless Networks, Sandeep Kolli, Maciej Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

Traditional wireless networks focus on transparent data transmission where the data are processed at either the source or destination nodes. in contrast, the proposed approach aims at distributing data processing among the nodes in the network thus providing a higher processing capability than a single device. Moreover, energy consumption is balanced in the proposed scheme since the energy intensive processing will be distributed among the nodes. the performance of a wireless network is dependent on a number of factors including the available energy, energy efficiency, data processing delay, transmission delay, routing decisions, security architecture etc. Typical existing distributed processing schemes …

A Parallel Genetic Algorithm For Placement And Routing On Cloud Computing Platforms, Jacob A. Berlier

Theses and Dissertations

The design and implementation of today's most advanced VLSI circuits and multi-layer printed circuit boards would not be possible without automated design tools that assist with the placement of components and the routing of connections between these components. In this work, we investigate how placement and routing can be implemented and accelerated using cloud computing resources. A parallel genetic algorithm approach is used to optimize component placement and the routing order supplied to a Lee's algorithm maze router. A study of mutation rate, dominance rate, and population size is presented to suggest favorable parameter values for arbitrary-sized printed circuit board …

A Cost-Benefit Analysis Of A Campus Computing Grid, Preston M. Smith

Purdue Polytechnic Masters Theses

Any major research institution has a substantial number of computer systems on its campus, often in the scale of tens of thousands. Given that a large amount of scientific computing is appropriate for execution in an opportunistic environment, a campus grid is an inexpensive way to build a powerful computational resource. What is missing, though, is a model for making an informed decision on the cost-effectives of a campus grid. In this thesis, the author describes a model for measuring the costs and benefits of building a campus computing resource based on the institution’s existing investment in computing hardware.

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