A New Framework for Hierarchical Cross-Layer Adaptation
Sachs, Daniel Grobe
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https://hdl.handle.net/2142/80962
Description
Title
A New Framework for Hierarchical Cross-Layer Adaptation
Author(s)
Sachs, Daniel Grobe
Issue Date
2006
Doctoral Committee Chair(s)
Jones, Douglas L.
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
The GRACE system also allows utility to be allocated between applications. Conventionally, this is done using suboptimal heuristics. However, Lagrangian techniques can also be applied to the allocation problem, supplying a method whereby optimal allocations (to within convex-hull approximations) can be made without requiring exact foreknowledge of upcoming workloads or searches of the cross-product of present and future applications. Through the use of Lagrangian optimization, unbounded improvements in total utility can be achieved compared to the constant-workload heuristic; simulations demonstrate a factor of two improvement in total utility in advantageous circumstances.
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