• Publications
  • Influence
Scheduling and Load Balancing in Parallel and Distributed Systems
TLDR
This book discusses how to schedule the processes among processing elements to achieve the expected performance goals, such as minimizing execution time, minimizing communication delays, or maximizing resource utilization. Expand
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A taxonomy and current issues in multidatabase systems
TLDR
A taxonomy of global information-sharing systems is presented, and the way in which multidatabase systems fit into the spectrum of solutions is discussed. Expand
  • 279
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TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams
TLDR
We propose a new term weighting scheme called term frequency-inverse corpus frequency (TF-ICF). Expand
  • 146
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Automated resolution of semantic heterogeneity in multidatabases
TLDR
A multidatabase system provides integrated access to heterogeneous, autonomous local databases in a distributed system. Expand
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Data Organization and Retrieval on Parallel Air Channels: Performance and Energy Issues
TLDR
Our interest in the global information sharing process is motivated by the advances in communication and computation technologies, the marriage between the two technologies, and the almost limitless amount of information available on the network. Expand
  • 29
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Power-aware data retrieval protocols for indexed broadcast parallel channels
TLDR
This paper examines two scheduling methods that along with a set of heuristics generate and facilitate the access patterns for retrieving data objects in the presence of conflicts in an indexed parallel broadcast channel environment. Expand
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Data Broadcasting in a Mobile Environment
TLDR
The advances in mobile devices and wireless communication techniques have enabled anywhere, anytime data access. Expand
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Object-oriented multidatabase systems
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Effective clustering of complex objects in object-oriented databases
Clustering is an effective mechanism for retrieving complex objects. Many object-oriented database management systems have suggested variant clustering schemes to improve their performance. TwoExpand
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Dataflow architectures and multithreading
TLDR
We explore the use of established imperative languages to program dataflow machines. Expand
  • 103
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