Performance formula-based optimal deployments of multilevel indices for service retrieval.

Hdl Handle:
http://hdl.handle.net/10545/622068
Title:
Performance formula-based optimal deployments of multilevel indices for service retrieval.
Authors:
Wu, Yan; Xu, Wei; Liu, Lu ( 0000-0003-1013-4507 ) ; Miao, Dejun
Abstract:
There are many different index structures for service repositories, such as sequential index, inverted index, and multilevel indices that include three deployments. Different service sets maybe have different characteristics that may affect performance from different aspects. For a given service set, which index structure is the most optimal one? To address these issues, this paper analyses five indexing models and proposes expectation of traversed service count to estimate performance of service retrieval. Based on these expectation formulas, an optimal deployment method can be identified to maximize efficiency of service retrieval. Our experiments first validate correctness of the proposed formulas and then validate the effective of the optimal method.
Affiliation:
Jiangsu University; University of Derby
Citation:
Wu, Y. et al (2017) 'Performance formula-based optimal deployments of multilevel indices for service retrieval', Concurrency and Computation: Practice and Experience, DOI: 10.1002/cpe.4265
Publisher:
Wiley
Journal:
Concurrency and Computation: Practice and Experience
Issue Date:
25-Aug-2017
URI:
http://hdl.handle.net/10545/622068
DOI:
10.1002/cpe.4265
Additional Links:
http://doi.wiley.com/10.1002/cpe.4265
Type:
Article
Language:
en
ISSN:
15320626
Sponsors:
UK-China Knowledge Economy Education Partnership
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
dc.contributor.authorWu, Yanen
dc.contributor.authorXu, Weien
dc.contributor.authorLiu, Luen
dc.contributor.authorMiao, Dejunen
dc.date.accessioned2018-01-22T15:27:39Z-
dc.date.available2018-01-22T15:27:39Z-
dc.date.issued2017-08-25-
dc.identifier.citationWu, Y. et al (2017) 'Performance formula-based optimal deployments of multilevel indices for service retrieval', Concurrency and Computation: Practice and Experience, DOI: 10.1002/cpe.4265en
dc.identifier.issn15320626-
dc.identifier.doi10.1002/cpe.4265-
dc.identifier.urihttp://hdl.handle.net/10545/622068-
dc.description.abstractThere are many different index structures for service repositories, such as sequential index, inverted index, and multilevel indices that include three deployments. Different service sets maybe have different characteristics that may affect performance from different aspects. For a given service set, which index structure is the most optimal one? To address these issues, this paper analyses five indexing models and proposes expectation of traversed service count to estimate performance of service retrieval. Based on these expectation formulas, an optimal deployment method can be identified to maximize efficiency of service retrieval. Our experiments first validate correctness of the proposed formulas and then validate the effective of the optimal method.en
dc.description.sponsorshipUK-China Knowledge Economy Education Partnershipen
dc.language.isoenen
dc.publisherWileyen
dc.relation.urlhttp://doi.wiley.com/10.1002/cpe.4265en
dc.rightsArchived with thanks to Concurrency and Computation: Practice and Experienceen
dc.subjectService compositionen
dc.subjectService discoveryen
dc.subjectService managementen
dc.subjectService storageen
dc.titlePerformance formula-based optimal deployments of multilevel indices for service retrieval.en
dc.typeArticleen
dc.contributor.departmentJiangsu Universityen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalConcurrency and Computation: Practice and Experienceen
dc.contributor.institutionSchool of Computer Science and Telecommunication Engineering; Jiangsu University; Zhenjiang Jiangsu 212000 China-
dc.contributor.institutionComputer Science and Telecommunication Engineering, School of Computer Science and Telecommunication Engineering; Jiangsu University; Zhenjiang Jiangsu 212000 China-
dc.contributor.institutionUniversity of Derby; Kedleston Road Derby DE22 1GB UK-
dc.contributor.institutionDepartment of Computing and Mathematics; University of Derby; Kedleston Road Derby DE22 1GB UK-
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