Information retrieval with distributed databases: analytic models of performance

Losee, Robert M.; Church, Lewis

doi:10.1109/tpds.2004.1264782

Cited by 14 publications

(7 citation statements)

References 40 publications

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“…When the data and DBMS software are distributed over several sites, one site may fail while other sites continue to operate. This improves both reliability and availability (Loose & Church, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…The next decade of research in database era will focus toward delivering widely available access to unprecedented amounts of constantly expanding data that is distributed all over the net (Loose & Church, 2004;Abiteboul et al, 2003;Ohta & Ishikawa, 2003). Users will benefit from new machine learning technologies that mine new knowledge by integrating an analyzing huge amounts of widely distributed data to uncover and report upon subtle relationships and patterns of events that are not immediately recognized by direct human inspection (Aljanaby et al, 2005;Kossman, 2000).…”

Section: Introductionmentioning

confidence: 99%

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Distributed University Registration Database System Using Oracle 9i

al-yaseri¹

2010

CIS

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In database and information systems, increasing attention has been focused lately on parallel and distributed database systems. The future of large database systems lies into the realm of distributed computing. The main reason for this is that distributed computing can be constructed at a low cost without the need for any specialized technology, using existing sequential computers and relatively cheap computer networks. The basic motivations for distributed databases are improved performance, increased availability, share ability, expandability, and access flexibility. Oracle9i is one of the most famous database management systems that provide distributed features. Oracle9i supports transparent distributed gains to access data from multiple databases. It also provides many other distributed features, such as transparent distributed transactions and transparent automatic two-phase commit. This paper presents a distributed registration database system using Oracle9i distributed features such as replication and fragmentation. The analysis and design steps of the distributed registration database system are shown as well as to the practical steps required for implementing the distributed database system using Oracle9i.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed University Registration Database System Using Oracle 9i

al-yaseri¹

2010

CIS

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“…Other performance measures could be used for such a study, or the relationship between performance with this measure and performance with other measures might be studied (Losee, 2000). An earlier study on distributed information retrieval provides methods using Average Search Length as a performance measure that can address issues such as the clustering problems discussed above (Losee & Church, 2004). Using these techniques, we may generalize the study of the Clustering Performance Question to any number of clusters.…”

Section: Discussionmentioning

confidence: 99%

Are two document clusters better than one? The Cluster Performance Question for information retrieval

Losee

Church

2004

J. Am. Soc. Inf. Sci.

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When do information retrieval systems using two document clusters provide better retrieval performance than systems using no clustering? We answer this question for one set of assumptions and suggest how this may be studied with other assumptions. The "Cluster Hypothesis" asks an empirical question about the relationships between documents and user-supplied relevance judgments, while the "Cluster Performance Question" proposed here focuses on the when and why of information retrieval or digital library performance for clustered and unclustered text databases. This may be generalized to study the relative performance of m versus n clusters.

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“…. n. In the fetching process [28], the system will fetch the information from the RBS and FBS, and we can set the range of the information from {0,1}. To fetch the information from database, we are considering a unit scale with datasets (A), the A of zero representing the average position of relevant documents being available inside the database at the beginning of the search process, and an A of one being at the end of the search process.…”

Section: Model Formulationmentioning

confidence: 99%

Artificial immune system (AIS)-based location management scheme in mobile cellular networks

Biswash

Sarkar

Sharma³

2018

Iran J Comput Sci

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In this paper, we are proposing a bio-inspired location management (LM) technique for personal communication system (PSC). It is based on artificial immune system (AIS), with self-adaptation and self-update attributes to perform the location management, and helps to achieve better quality of service (QoS) and quality of experience (QoE) for the mobile users. Here, we are suggesting a modified mobile switching center (MSC) architecture, and an adaptive self-modified location management procedure. The proposed mobile switching center architecture has an advantage of rule-based and fact-based system to store the rules and facts related to location management procedure, and it shows the intelligent behavior of system. The mobile switching center calculates the best method for location management and the rule-based system trigged the rules to perform the techniques. The system stores the result (techniques for location management) in fact-based system for future use. The efficiency and effectiveness of the proposed techniques have been analyzed, and it observed that the proposed system has 45-50% improvement in performance over the current location management techniques. Here, we are using performance parameters such as signaling cost, database update cost, overhead measurement, and mobility management cost.

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Information retrieval with distributed databases: analytic models of performance

Cited by 14 publications

References 40 publications

Distributed University Registration Database System Using Oracle 9i

Distributed University Registration Database System Using Oracle 9i

Are two document clusters better than one? The Cluster Performance Question for information retrieval

Artificial immune system (AIS)-based location management scheme in mobile cellular networks

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