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dc.contributor.authorLaghari, AA
dc.contributor.authorHe, H
dc.contributor.authorLaghari, RA
dc.contributor.authorKhan, Asiya
dc.contributor.authorYadav, R
dc.date.accessioned2019-02-04T13:05:40Z
dc.date.issued2019-02-19
dc.identifier.issn2032-944X
dc.identifier.issn2032-9407
dc.identifier.urihttp://hdl.handle.net/10026.1/13269
dc.description.abstract

The main aim of this paper is based on the cache performance test of the QoC: quality of experience framework for cloud computing on the server. QoC framework is based on the server-side design and implementation of the use of hierarchical architecture. Reverse proxy technology is used to build a server cluster, which is composed of front-end access layer to achieve the server for load balancing, improve the performance of the system and the use of built-in distributed cache server. The cluster consists of the cache acceleration layer, which reduces the load of the backend database. The second database server cluster, which is constructed by the database master and slave synchronization technology, forms the data storage layer, which realizes the database read and writes separation and data redundancy. The server-side hierarchical architecture improves the performance and stability of the entire system, and has a high degree of scalability, laying a solid foundation for future expansion of system business logic and increases user volume. This paper presents new cache replacement algorithm for inconsistent video file size and then analyzes the specific needs for the multi-terminal type of QoC framework, and gives the client and server-side outline design; it describes the implementation details of the client and the server-side and finally the whole system of detailed functional and performance testing.

dc.format.extent156594-156594
dc.languageen
dc.language.isoen
dc.publisherEuropean Alliance for Innovation (EAI)
dc.titleCache Performance Optimization of QoC Framework
dc.typejournal-article
dc.typeJournal Article
plymouth.issue0
plymouth.volume0
plymouth.publication-statusPublished online
plymouth.journalEAI Endorsed Transactions on Scalable Information Systems
dc.identifier.doi10.4108/eai.13-7-2018.156594
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2019-02-01
dc.rights.embargodate2019-12-20
dc.identifier.eissn2032-9407
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.4108/eai.13-7-2018.156594
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-02-19
rioxxterms.typeJournal Article/Review


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