{"_buckets": {"deposit": "0bd45ede-3f29-49bb-a619-1b472e155f4f"}, "_deposit": {"id": "4772", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4772"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4772", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Computation Offloading Decision in Mobile Cloud Computing: Challenges of Mobile Devices", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Functionality on mobile devices are ever richerin daily life. Mobile devices have limited resourceslike battery life, storage and processor, etc. Offloadingsome computing tasks from mobile devices to thecloud is a way to solve the limitations of battery lifeand computing capability of mobile devices. Applicationoffloading is energy efficient only under variousconditions. This paper proposes an Enhanced ComputationOffloading Algorithm, to extend the life timeof mobile devices, partition the job as a graph andtaking into account the CPU load, state of Charge,wireless network bandwidth, transmission data size.Based on the inputs, the system decide whether tooffload the application to the cloud or not. Offloadingis an effective method for extending the life timeof mobile devices by executing some components ofapplications remotely.(E.g. processing applicationson mobile cloud). Result will demonstrate that thealgorithm can significantly reduce energy consumptionof mobile device as well as execution time ofapplication."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Mobile Cloud Computing"}, {"interim": "computation offloading"}, {"interim": "Wireless Network Bandwidth"}, {"interim": "energy"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fifteenth International Conference on Computer Applications(ICCA 2017)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Tun, Mi Swe Zar"}, {"subitem_authors_fullname": "Kyi, Hsu Mon"}, {"subitem_authors_fullname": "Htoon, Ei Chaw"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2017-02-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/662"}, "item_title": "Computation Offloading Decision in Mobile Cloud Computing: Challenges of Mobile Devices", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004772", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-10"}, "publish_date": "2019-07-10", "publish_status": "0", "recid": "4772", "relation": {}, "relation_version_is_last": true, "title": ["Computation Offloading Decision in Mobile Cloud Computing: Challenges of Mobile Devices"], "weko_shared_id": -1}