Efficient storage and retrieval of data is critical in today's computing environments
and storage systems need to keep up with the pace of evolution of other system components
like CPU, memory etc., for building an overall efficient system. With virtualization
becoming pervasive in enterprise and cloud-based infrastructures, it becomes vital to build
I/O systems that better account for the changes in scenario in virtualized systems. However,
the evolution of storage systems have been limited significantly due to adherence to legacy
interface standards between the operating system and storage subsystem. Even though storage
systems have become more powerful in the recent times hosting large processors and
memory, thin interface to file system leads to wastage of vital information contained in the
storage system from being used by higher layers. Virtualization compounds this problem
with addition of new indirection layers that makes underlying storage systems even more
opaque to the operating system.
This dissertation addresses the problem of inefficient use of disk information by identifying
storage-level opportunities and developing pro-active techniques to storage management.
We present a new class of storage systems called pro-active storage systems (PaSS),
which in addition to being compatible with existing I/O interface, exerts a limit degree of
control over the file system policies by leveraging it's internal information. In this dissertation,
we present our PaSS framework that includes two new I/O interfaces called push
and pull, both in the context of traditional systems and virtualized systems. We demonstrate
the usefulness of our PaSS framework by a series of case studies that exploit the
information available in underlying storage system layer, for overall improvement in IO
performance. We also built a framework to evaluate performance and energy of modern
storage systems by implementing a novel I/O trace replay tool and an analytical model for measuring performance and energy of complex storage systems. We believe that our PaSS
framework and the suite of evaluation tools helps in better understanding of modern storage
system behavior and thereby implement efficient policies in the higher layers for better
performance, data reliability and energy efficiency by making use of the new interfaces in
our framework.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/41081 |
| Date | 17 May 2011 |
| Creators | Sivathanu, Sankaran |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Detected Language | English |
| Type | Dissertation |
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