Computing systems are experiencing a significant evolution triggered
by the convergence of multiple technologies including multicore
processor architectures, expanding I/O capabilities (e.g., storage and wireless communication), and virtualization solutions. The integration
of these technologies has been driven by the need to
deliver performance and functionality for applications being developed in emerging mobile and enterprise systems. These accomplishments, though,
have come at the cost of increased power and thermal signatures of
computing platforms. In response to the resulting power issues,
power centric policies have been deployed across all layers of the stack
including platform hardware, operating systems, application
middleware, and virtualization components. Effective active
power management requires that these independent layers or components
behave constructively to attain globally desirable benefits. Two choices
are (1) to tightly integrate different policies using negotiated management
decisions, and (2) to coordinate their use based on the localized policy
decisions that are already part of modern computer architectures and software
systems. Recognizing the realities of (2), the goal of this thesis is to
identify, define, and evaluate novel system-level coordination mechanisms
between diverse management components that exist across system layers. The
end goal of these mechanisms, then, is to enable synergistic behaviors between
management entities, across different levels of abstraction, and across
different physical platforms to improve power management functionality.
Contributions from this work include operating system level mechanisms
that dynamically capture workload behavior thereby enabling power
efficient scheduling, and system descriptor mechanisms that allow for
improved workload allocation and resource management schemes. Finally,
observing the strong need for coordination in managing virtualized
systems due to the existence of multiple, independent system layers,
a set of extensions to virtualization architectures for effectively
coordinating VM management in datacenters are developed.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/24646 |
| Date | 12 June 2008 |
| Creators | Nathuji, Ripal |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Detected Language | English |
| Type | Dissertation |
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