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Our Mission:
The
MINT project aims at developing mathematical reliability models for fault-tolerant energy-aware disk systems. Reliability models, which are used to estimate reliability, have been important tools in the design and development of fault-tolerant computer systems. In the past decade, a variety of practical and useful reliability models have been constructed for disk systems. However, most of these models were developed for non-energy efficient disk systems, thereby making it difficult to apply the existing reliability models to energy-aware disk systems. Therefore, the overall objective of this project is to address the
mathematical underpinnings of modeling reliability of energy-efficient parallel disk systems, where fault tolerance and energy-saving techniques will be seamlessly integrated together to conserve energy without sacrificing reliability in parallel disk systems.
Our Approach:
The project will contribute to reliability modeling techniques for fault-tolerant and energy-efficient parallel disk systems by developing a reliability analysis modeling toolkit accompanied with a set of novel mathematical
reliability models. The innovative models investigated in this project include disk power consumption models, a reliability model for parallel disk systems with redundancy techniques, a reliability model for repairable and energy-efficient parallel disk systems, a fault recovery model for energy-efficient parallel disk systems. The proposed research has three main strengths. First, we bridge the technology gap between reliability analysis and energy conservation techniques in the context of parallel disk systems. Second, we seek to develop an array of mathematical reliability models for energy-efficient parallel disk systems. Finally, we will implement a reliability analysis toolkit, which will be the first toolkit of its kind designed specifically to study a variety of fault-tolerant and energy-saving techniques.
Our Funding:
MINT is being funded
through the Computer Systems
Research (CSR) award CNS-0757778
from the U.S. National Science Foundation (NSF).
Contact Us
Updated
on 7/16/2008
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