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Parallel and Distributed Systems, Databases, Mobile-Databases, Pervasive and Mobile Computing.
With the advance in technology, the data distribution issue has evolved to data integration from heterogeneous sources. Multi-databases are designed to allow access to heterogeneous and autonomous data sources.
The concept of mobility has introduced additional complexities and restrictions in multi-database systems: reduced capacity network connection, processing, resource, and power restrictions.
An extended multi-database system that facilitates “anytime, anywhere” access to information is called a Mobile Data Access System (MDAS).
Within the scope of MDAS, we distinguish three classes of services: Broadcast based services, On-demand based services, and Pervasive based services. Within the scope of broadcasting, we introduce and evaluate algorithms that address: data allocation and retrieval on single and parallel channels, application of indexing on the air channel(s), access conflict and conflict resolution, and power management.
Within the scope of on-demand services with regard to technological limitations, we introduce and analyze solutions that address: query processing, location dependence, location awareness, continuous queries, application of mobile agents, multimedia data processing, transaction processing, power management, ad hoc networking, caching, and security.
Parallel and Distributed Systems, Databases, Mobile-Databases, Pervasive and Mobile Computing.
With the advance in technology, the data distribution issue has evolved to data integration from heterogeneous sources. Multi-databases are designed to allow access to heterogeneous and autonomous data sources.
The concept of mobility has introduced additional complexities and restrictions in multi-database systems: reduced capacity network connection, processing, resource, and power restrictions.
An extended multi-database system that facilitates “anytime, anywhere” access to information is called a Mobile Data Access System (MDAS).
Within the scope of MDAS, we distinguish three classes of services: Broadcast based services, On-demand based services, and Pervasive based services. Within the scope of broadcasting, we introduce and evaluate algorithms that address: data allocation and retrieval on single and parallel channels, application of indexing on the air channel(s), access conflict and conflict resolution, and power management.
Within the scope of on-demand services with regard to technological limitations, we introduce and analyze solutions that address: query processing, location dependence, location awareness, continuous queries, application of mobile agents, multimedia data processing, transaction processing, power management, ad hoc networking, caching, and security.
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COMPSACpp.142-143, (2023)
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Adv. Comput. (2023): 139-162
Advances in Computerspp.139-162, (2023)
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2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)pp.4550-4555, (2023)
Advances in Computers (2022)
Adv. Comput. (2022): 201-245
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