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An Optimal Data Access Framework For Telerehabilitation System

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dc.contributor.authorAbdullah Muhammeden_US
dc.contributor.authorWaidah Ismailen_US
dc.contributor.authorSiti Nabilah Basarangen_US
dc.contributor.authorAli Y. Aldailamyen_US
dc.contributor.authorRimuljo Hendradien_US
dc.date.accessioned2024-05-28T03:51:36Z
dc.date.available2024-05-28T03:51:36Z
dc.date.issued2021
dc.date.submitted2022-2-14
dc.descriptionVol: 3 No: 1 (page: 25-36)en_US
dc.description.abstractIn the telerehabilitation system, the statistical data of the patients’ movement are stored in the temporary storage and synchronised to the storage service of online cloud data. Application providers faced a problem in reducing the monetary cost of the whole cloud service and reducing the footprint of the main memory space. In addition, users encounter long latency when the required data need to be read from the cloud via the internet and the hard disk drive (HDD) of the cloud servers. To solve this problem, an optimal data access framework is presented to cache the statistical data of the patients in the application server. The main memory database and cache use internal tracking in the main memory to track records that are not accessed by transferring the data to the disk. This mechanism retains the keys and all indexed fields of evicted records in the main memory which prevents potential memory space savings for the application that have many keys and secondary indexes. Therefore, to overcome the mentioned problems, the cloud database is categorised into three partitions (hot, warm, cold). In addition, a cache memory image in the application server is provided for the hot partition of the cloud database. The use of cache memory image reduces the number of reading operations from the cloud and saves the space of the main memory. The experimental results showed that the proposed framework can produce good quality solutions by utilising the main memory space and reducing the latency and read operations from the cloud that lead to reducing the monetary costs.en_US
dc.identifier.citationMuhammed, A., Ismail, W., Basarang, S. N., Aldailamy, A. Y., & Hendradi, R. (2021). An Optimal Data Access Framework for Telerehabilitation System. Journal of Advanced Computing Technology and Application (JACTA), 3(1), 25-36. Retrieved from https://jacta.utem.edu.my/jacta/article/view/5224Muhammed, A., Ismail, W., Basarang, S. N., Aldailamy, A. Y., & Hendradi, R. (2021). An Optimal Data Access Framework for Telerehabilitation System. Journal of Advanced Computing Technology and Application (JACTA), 3(1), 25-36. Retrieved from https://jacta.utem.edu.my/jacta/article/view/5224en_US
dc.identifier.epage38
dc.identifier.issn2682-8820
dc.identifier.issue1
dc.identifier.spage26
dc.identifier.urihttps://jacta.utem.edu.my/jacta/article/view/5224/3665
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/5164
dc.identifier.volume3
dc.language.isoen_USen_US
dc.publisherFaculty of Information and Communication Technology (FTMK), Universiti Teknikal Malaysia Melaka (UTeM).en_US
dc.relation.ispartofJournal of Advanced Computing Technology and Application (JACTA)en_US
dc.subjectRehabilition system , exergame, cloud computing,DBaaS, cache memoryen_US
dc.titleAn Optimal Data Access Framework For Telerehabilitation Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication

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