{"_buckets": {"deposit": "c979a7be-bd99-4994-a1be-21533954d54a"}, "_deposit": {"created_by": 30, "id": "5528", "owner": "30", "owners": [30], "owners_ext": {"displayname": "", "email": "khinmohmohaung@gmail.com", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "5528"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5528"}, "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Mobile Agent Cooperation Methods in  Hybrid Query Optimization", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The database field has developed very powerful\ntechnologies for finding efficient execution plans for\ndeclaratively specified queries. Moreover, database\nqueries have increasingly complex in the age of the\ndistributed DBMS (DDBMS). In order to optimize\nqueries accurately, sufficient information must be\navailable to determine which data access techniques\nare most effective. The role of query optimization is\nto find a strategy close to optimal. To optimize the\nquery efficiently, it is important to choose the site to\nexecute. For site selection, the statistical information\nof underlining relations is essential. In this paper, we\npropose the query optimization model based on\nmobile agents. This model provides a strategy for\nexecuting each query over the network in the most\ncost-effective way. Our proposed system focuses on\nthese modules: Query Decomposition: decomposes\nthe input query into mono-relation query using the\ndetachment techniques, Optimization Plan: computes\nall possible plans using statistical database\ninformation and intermediate relation size by\ncooperating with mobile agents and chooses the\noptimized plan and Execution Plan: executes the\noptimized plan by using mobile agent and send\nresults to client."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Distributed Database"}, {"interim": "Multidatabase"}, {"interim": "Mobile Agents"}, {"interim": "Distributed Computing"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"date": [{"dateType": "Available", "dateValue": "2020-09-28"}], "download_preview_message": "", "filename": "Paper_APSITT.pdf", "filesize": [{"value": "58 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "size": 58000, "url": {"url": "https://meral.edu.mm/record/5528/files/Paper_APSITT.pdf"}, "version_id": "46ed6e08-db3c-4f12-be74-32522d347e87"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_c_date": "2005-11-09", "subitem_conference_title": "6th Asia Pacific Symposium on Information and Telecommunication Technologies", "subitem_place": "Myanmar"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Thanda Win"}, {"subitem_authors_fullname": "Khin Mar Lar Tun"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Conference paper"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2005-11-09"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "D0I:10.1109/APSITT.2005.203633"}, "item_title": "Mobile Agent Cooperation Methods in  Hybrid Query Optimization", "item_type_id": "21", "owner": "30", "path": ["1582963413512/1596119372420"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005528", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-09-28"}, "publish_date": "2020-09-28", "publish_status": "0", "recid": "5528", "relation": {}, "relation_version_is_last": true, "title": ["Mobile Agent Cooperation Methods in  Hybrid Query Optimization"], "weko_shared_id": -1}