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Publications
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Publications by Year
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Title
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Management of Interdependent Data: Specifying Dependency and Consistency Requirements
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Authors
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A. Sheth, and M. Rusinkiewicz
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Citation
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Proceedings of the Workshop on the Management of Replicated Data, Houston, TX, pp. 133-136
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Publication Date
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November 1990
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Keywords
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consistency, interdependent data, multidatabase consistency, interdependent data dependency, redundant data management, interdatabase dependency
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Other
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Publication Type |
Workshop
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Abstract
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Multiple databases that serve the needs of various application systems are considered. One of the significant problems in managing these databases is to maintain the related data items consistent to the required degree. This problem is frequently referred to as 'redundant data management'. Since the term 'redundancy' tends to imply that the data is unwanted or superfluous, the authors use the more general term 'management of interdependent data'. Some preliminary ideas in this area are discussed. The problem of managing interdependent data is characterized, and some important types of interdatabase dependency are identified. The types of consistency requirements which can exist among the interdependent data are defined.
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Title
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Federated database systems for managing distributed, heterogeneous, and autonomous databases
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Authors
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A. Sheth, and J. Larson
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Citation
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Vol.22, No. 3, pp. 183-236
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Publication Date
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September 1990
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Keywords
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federated databases, multidatabases, schema translation, schema integration, schema architecture, software architecture, autonomous database, heterogeneous databases, distributed databases, multidatabase query languages
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Projects
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SI
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ACM Digital Library
http://www.acm.org/pubs/toc/Abstracts/surveys/96604.html
Citeceer
http://www.informatik.uni-trier.de/~ley/db/journals/csur/ShethL90.html
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Journal
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Abstract
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A federated database system (FDBS) is a collection of cooperating database systems that are autonomous and possibly heterogeneous. In this paper, we define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed. We then define a methodology for developing one of the popular architectures of an FDBS. Finally, we discuss critical issues related to developing and operating an FDBS.
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Title
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Fault tolerance in a very large database system: a strawman analysis
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Authors
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A. Sheth
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Citation
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9th International Conference on Distributed Computing Systems, pp. 227-236
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Publication Date
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June 1989
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Keywords
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data placement, data striping, (RAID), consistency, very large database system, strawman analysis, fault-tolerance techniques, system availability, generic multiprocessor architecture, mean time to failure, data storage methods, fault tolerant computing, multiprocessing systems, qualitative analysis
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Other
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Publication Type |
Conference
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Abstract
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A simple model is used to study the effect of fault-tolerance techniques and system design on system availability. A generic multiprocessor architecture is used that can be configured in different ways to study the effect of system architectures. Important parameters studied are different system architectures and hardware fault-tolerance techniques, mean time to failure of basic components, database size and distribution, interconnect capacity, etc. Quantitative analysis compares the relative effect of different parameter values. Results show that the effect of different parameter values on system availability can be very significant. System architecture, use of hardware fault tolerance (particularly mirroring), and data storage methods emerge as very important parameters under the control of a system designer.
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Title
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The interpreted-compiled range of AI/DB systems
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Authors
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Anthony B. O'Hare, Amit P. Sheth
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Citation
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ACM SIGMOD Record, 18 (1)
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Publication Date
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March 1989
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Keywords
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loose AI-DBMS coupling, artificial intelligence and database systems, cache-based architecture, knowledge management system, generalized database access, expert systems
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Other
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portal.acm.org
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Publication Type |
Article
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Abstract
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A range of approaches to integrating rule-based Artificial Intelligence (AI) systems and Database Management Systems are classified according to the degree of compilation that is performed by the AI system. This interpreted-compiled range provides a framework for enumerating several relevant aspects of AI/DB systems, for showing how these aspects vary along the dimension, and for comparing and contrasting previous work on AI/DB systems. In particular, this framework focuses on the nature of the interaction between the two systems as well as some of the consequences of the particular approach with respect to the utilization, functionality, and performance of each of the two systems.
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Title
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Does loose AI-DBMS coupling stand a chance?
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Authors
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A. Sheth
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Citation
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Proceedings of the Fifth International Conference on Data Engineering, pp. 252-254.
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Publication Date
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February 1989
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Keywords
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loose AI-DBMS coupling, artificial intelligence and database systems, cache-based architecture, knowledge management system, generalized database access, expert systems
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Projects
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Other
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PDF
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Publication Type |
Conference
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Abstract
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The concept of loose coupling of artificial intelligence systems and database systems is defined. The issues that arise in determining the scope of loose integration are identified. A cache-based architecture being implemented in a knowledge management system project is described. The objective is to develop an interface that is useful for generalized database access from an expert system.
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Title
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Can we meaningfully integrate drawing, text, image, and voice with structured data?
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Authors
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A. Sheth, J. Larson, W. Luther, B. Phillips, R. Yost
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Citation
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Proceedings of the Fourth International Conference on Data Engineering, pp. 597-603
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Publication Date
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February 1988
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Keywords
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data integration, drawing, text, image, voice, structured data, representation, features abstraction, browsing, unstructured data, multimedia systems, data structures, database management systems
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Projects
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Other
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PDF
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Publication Type |
Conference
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Abstract
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Covers application as well as system aspects of managing and integrating unstructured and structured data. Problems of representation, features, and abstraction are discussed. Other aspects considered are browsing unstructured data and multimedia systems and text.
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Title
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A tool for integrating conceptual schemas and user views
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Authors
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A. Sheth, J. Larson, A. Cornelio, W. Luther, B. Phillips, R. Yost
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Citation
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Proceedings of the Fourth International Conference on Data Engineering, pp. 597-603
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Publication Date
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February 1988
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Keywords
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schema integration, integrating conceptual schemas, user views, interactive tool, database designers and administrators
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Projects
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SI
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PDF
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Publication Type |
Conference
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Abstract
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An interactive tool has been developed to assist database designers and administrators (DDA) in integrating schemas. It collects the information required for integration from a DDA, performs essential bookkeeping, and integrates schemas according to the semantics provided. The authors present the capabilities of this tool by discussing the integration methodology and the user interface of the tool.
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Title
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An analysis of the effect of network parameters on the performance of distributed database systems
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Authors
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Amit P. Sheth, Anoop Singhal, Ming T. Liu
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Citation
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IEEE Transactions on Software Engineering, 11 (12)
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Publication Date
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October 1985
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Keywords
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Other
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portal.acm.org
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Publication Type |
Journal
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Abstract
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Title
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An Analysis of the Effect of Network Load and Topology on the Performance of a Concurrency Control Algorithm in Distributed Database Systems
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Authors
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A. Singhal, A. Sheth, M. Liu
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Citation
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Proceedings of the Computer Networking Symposium, pp. 45-54
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Publication Date
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December 1984
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Keywords
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Other
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PDF
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Publication Type |
Conference
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Abstract
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Earlier studies in the performance analysis of concurrency control algorithms in distributed database systems (DDBS) have assumed that the message transmission time between any two nodes of a network is constant. Hence they disregard the effect of communication subject related parameters such as network traffic, network topology, the capacity of transmission channels and the size of messages transmitted. In this paper an analytical model is used to estimate the delays in transmission channels for a DDBS in a long haul network. The analysis shows that the constant transmission time assumption cannot be justified in many cases and that response time is sensitive to the parameters mentioned above. Conditions under which the DDBS is node bound or network bound are also derived.
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