Nithya Vijayakumar's Oral Qualifier Reading List |
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Advisory Committee: Beth Plale, Dennis Gannon, Ed Robertson |
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Completed on April 23, 2004 |
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I. Books |
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Andrew
S. Tanenbaum, Maarten van Steen |
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Foster
& Kesselman |
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II.
Data Management in Grid |
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1. Leanne Guy, Peter Kunszt,
Erwin Laure, Heinz Stockinger, Kurt Stockinger Replica Management in Data Grids Globul Grid Forum 5, 2002 |
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Describes the architecture and design of a
high level system for replica management in data grids. |
2.
Vijayshankar Raman, Inderpal Narang, Chris Crone, Laura Haas, Susan
Malaika,Tina Mukai, Dan Wolfson. Chaitan Baru |
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Presents a layer of grid data
virtualization services that makes complexities of data management transparent
and enables ease of information access on a grid. |
3.
M. Ripeanu, I. Foster |
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Argues that a replica location mechanism
that combines probabilistic representations of replica location information
with soft-state protocols and a flat overlay network of nodes brings important
benefits: genuine decentralization, low query latency, and flexibility to
introduce adaptive communication schedules. |
4. Ian Foster, Jens Vockler,
Michael Wilde, Yong Zhao The Virtual Data Grid: A New Model and Architecture for Data-Intensive Collaboration Proceedings of CIDR, Biennial Conference on Innovative Database Systems Research, 2003 |
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Defines the model Virtual Data Grid, a data
system architecture based on an integrated treatment of data, computation
procedures used to manipulate data and the computations that apply those
procedures to data. |
5.
Gurmeet Singh, Shishir Bharathi, Ann Chervenak, Ewa Deelman, Carl Kesselman,
Mary Manohar, Sonal Patil, Laura Pearlman |
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Presents the design of a Metadata Catalog
Service (MCS) that provides a mechanism for storing and accessing descriptive
metadata and allows users to query for data items based on desired attributes. |
6. Beth Plale Architecture for Accessing Data Streams on the Grid 2nd EUROPEAN ACROSS GRIDS CONFERENCE (AxGrids 2004), January 2004 |
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Defines the architecture of data stream
store, a grid enabled data resource that delivers data stream results to
clients through the grid service infrastructure defined by OGSI. |
7.
Beth Plale, Craig Jacobs, Scott Jensen, Ying Liu, Charlie Moad, Rupali Parab,
and Prajakta Vaidya |
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Contributes to the understanding of
resource information representation and retrieval in grid computing through
the development of a grid resource information repository, and the application
of the benchmark/workload to MySQL, Xindice and LDAP. |
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1. Douglas
Terry, David Goldberg, David Nichols, Brian Oki Continuous Queries over Append-Only Databases ACM SIGMOD international conference on Management of data, 1992 |
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Converts a continuous query into an
incremental query that efficiently finds new matches to the original query as
new messages are added to the database. |
2.
Shivnath Babu, Jennifer Widom |
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Defines a framework for query
processing in the presence of continuous data streams. |
3. Sam Madden and Michael
J. Franklin |
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Presents an architecture
for managing multiple queries over many sensors, and focuses on an efficient,
adaptive, and power sensitive infrastructure upon which new query processing
approaches can be built. |
4. Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev
Motwani, Jennifer Widom Models and Issues in Data Stream Systems ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2002 |
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Discusses fundamental models and issues in
developing a general-purpose Data Stream Management System. |
5.
Stratis D. Viglas Jeffrey F. Naughton |
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Proposes a rate-based approach to estimate
the cost of query plans for relational query optimizers and gives an
optimization framework that aims at maximizing the output rate of query
evaluation plans. |
6.
Beth Plale and Karsten Schwan |
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Provides a conceptual relational data model
and SQL query access over streaming data. |
7. Nithya Vijayakumar and
Beth Plale Run Time Adaptations for Improved Performance on Asynchronous Data Streams manuscript submitted to conference, February 2004 |
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Reports results on the experimental
evaluation of optimizations on the dQUOB system that address memory
management, a performance and scalability bottleneck. |
Supplementary Reading |