{"_buckets": {"deposit": "d067212c-4ff4-430c-a3c5-3b16161224a2"}, "_deposit": {"id": "3360", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3360"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3360", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Scheduling and Load Balancing in Cloud-Fog Computing using Swarm Optimization Techniques: A Survey", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Cloud computing is an interested and bigdeveloping computing technology that maintain dataservers and service huge applications to provide endusers in many different organization. Although cloudcomputing gives many benefits of service, but it canhardly accurate the requirements of end users inhumans’ daily lives. A new computing paradigmcalled Fog Computing which is an emerging as anecessary and popular computing paradigm toperform Internet of Things (IoT). Fog computing is amiddle layer of cloud and IoT. When fog computingis insufficient for the resource requirements of IoT,cloud computing can assist fog computing to get ahandle of intensive applications. The IoT applicationscould choose fog or cloud computing nodes forresponding to the resource requirements. Schedulingand load balancing algorithms are necessary forefficient and effective utilization of resources. Thispaper presents the survey of scheduling and loadbalancing algorithms in cloud and fog computingenvironment by using swarm-based optimizationtechniques."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Fog Computing"}, {"interim": "Resource Scheduling"}, {"interim": "Load balancing"}, {"interim": "Swarm Intelligence"}, {"interim": "Particle swarm optimization (PSO)"}, {"interim": "Ant Colony Optimization (ACO)"}, {"interim": "Artificial Bee Colony Optimization (ABC)"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-22"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "ICCA 2019 Proceedings Book-pages-19-25.pdf", "filesize": [{"value": "422 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 422000.0, "url": {"url": "https://meral.edu.mm/record/3360/files/ICCA 2019 Proceedings Book-pages-19-25.pdf"}, "version_id": "55c7c071-0c8f-4d93-b61b-abee5fa5c422"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Seventeenth International Conference on Computer Applications(ICCA 2019)", "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": "Mon, Myat Myat"}, {"subitem_authors_fullname": "Khine, May Aye"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-02-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1119"}, "item_title": "Scheduling and Load Balancing in Cloud-Fog Computing using Swarm Optimization Techniques: A Survey", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003360", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-22"}, "publish_date": "2019-07-22", "publish_status": "0", "recid": "3360", "relation": {}, "relation_version_is_last": true, "title": ["Scheduling and Load Balancing in Cloud-Fog Computing using Swarm Optimization Techniques: A Survey"], "weko_shared_id": -1}