{"created":"2020-12-09T11:30:43.813088+00:00","id":6692,"links":{},"metadata":{"_buckets":{"deposit":"b5cb3e27-b918-4087-a52c-cdc3e4e5c909"},"_deposit":{"created_by":45,"id":"6692","owner":"45","owners":[45],"owners_ext":{"displayname":"","email":"dimennyaung@uit.edu.mm","username":""},"pid":{"revision_id":0,"type":"depid","value":"6692"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00006692","sets":["1582963342780:1596102355557"]},"communities":["uit"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"PC-Cluster Based Storage System Architecture For Cloud Storage","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Design and architecture of cloud storage system plays a vital role in cloud computing infrastructure in\norder to improve the storage capacity as well as cost effectiveness. Usually cloud storage system provides\nusers to efficient storage space with elasticity feature. One of the challenges of cloud storage system is\ndifficult to balance the providing huge elastic capacity of storage and investment of expensive cost for it.\nIn order to solve this issue in the cloud storage infrastructure, low cost PC cluster based storage server is\nconfigured to be activated for large amount of data to provide cloud users. Moreover, one of the\ncontributions of this system is proposed an analytical model using M/M/1 queuing network model, which is\nmodelled on intended architecture to provide better response time, utilization of storage as well as pending\ntime when the system is running. According to the analytical result on experimental testing, the storage can\nbe utilized more than 90% of storage space. In this paper, two parts have been described such as (i) design\nand architecture of PC cluster based cloud storage system. On this system, related to cloud applications,\nservices configurations are explained in detailed. (ii) Analytical model has been enhanced to be increased\nthe storage utilization on the target architecture."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Cloud Computing"},{"interim":"Cloud storage"},{"interim":"PC Cluster"},{"interim":"M/M/1 queuing network"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-12-09"}],"displaytype":"preview","filename":"PC-CLUSTER BASED STORAGE SYSTEM ARCHITECTURE FOR CLOUD STORAGE.pdf","filesize":[{"value":"319 Kb"}],"format":"application/pdf","url":{"url":"https://meral.edu.mm/api/files/b5cb3e27-b918-4087-a52c-cdc3e4e5c909/PC-CLUSTER%20BASED%20STORAGE%20SYSTEM%20ARCHITECTURE%20FOR%20CLOUD%20STORAGE.pdf"},"version_id":"f42c4a87-e498-497c-a583-d49bcad81a20"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_journal_title":"International Journal on Cloud Computing: Services and Architecture(IJCCSA)","subitem_pages":"115-126","subitem_volume":"Vol.1, No.3"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Tin Tin Yee"},{"subitem_authors_fullname":"Thinn Thu Naing"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Journal article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2011-11-03"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"10.5121/ijccsa.2011.1309"},"item_title":"PC-Cluster Based Storage System Architecture For Cloud Storage","item_type_id":"21","owner":"45","path":["1596102355557"],"publish_date":"2020-12-09","publish_status":"0","recid":"6692","relation_version_is_last":true,"title":["PC-Cluster Based Storage System Architecture For Cloud Storage"],"weko_creator_id":"45","weko_shared_id":-1},"updated":"2021-12-13T06:51:22.909516+00:00"}