{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:03:46Z","timestamp":1742976226904,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811600098"},{"type":"electronic","value":"9789811600104"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-16-0010-4_32","type":"book-chapter","created":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T00:19:49Z","timestamp":1612829989000},"page":"365-377","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Multi-objective Task Offloading Strategy for Workflow Applications in Mobile Edge-Cloud Computing"],"prefix":"10.1007","author":[{"given":"Yongqiang","family":"Gao","sequence":"first","affiliation":[]},{"given":"Dandan","family":"Yan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,7]]},"reference":[{"issue":"2019","key":"32_CR1","first-page":"534","volume":"80","author":"HP Wu","year":"2016","unstructured":"Wu, H.P., Wu, S.W.: Joint optimization method for task scheduling time and energy consumption in mobile cloud computing environment. Appl. Soft Comput. J. 80(2019), 534\u2013545 (2016)","journal-title":"Appl. Soft Comput. J."},{"issue":"2","key":"32_CR2","first-page":"273","volume":"40","author":"Y Cui","year":"2017","unstructured":"Cui, Y., Song, J., Miao, C.: Mobile cloud computing research progress and trends. Chin. J. Comput. 40(2), 273\u2013295 (2017)","journal-title":"Chin. J. Comput."},{"key":"32_CR3","volume-title":"Principle and Practice of Edge Computing","author":"RC Xie","year":"2019","unstructured":"Xie, R.C., Huang, T.: Principle and Practice of Edge Computing. China Post and Telecommunications Press, Beijing (2019)"},{"issue":"5","key":"32_CR4","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1109\/JIOT.2016.2579198","volume":"3","author":"W Shi","year":"2016","unstructured":"Shi, W., Cao, J., Zhang, Q.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637\u2013646 (2016)","journal-title":"IEEE Internet Things J."},{"key":"32_CR5","unstructured":"Hu, H.Y., Liu, R.H.: Multi-objective optimization for task scheduling in mobile cloud computing. J. Comput. Res. Dev. (2017)."},{"key":"32_CR6","volume-title":"Research on Task Scheduling of Mobile Cloud Computing Based on DVFS and Heat Perception","author":"J Pu","year":"2016","unstructured":"Pu, J.: Research on Task Scheduling of Mobile Cloud Computing Based on DVFS and Heat Perception. Huazhong University of Science and Technology, Hubei (2016)"},{"issue":"5","key":"32_CR7","first-page":"1523","volume":"39","author":"SC Fu","year":"2019","unstructured":"Fu, S.C., Fu, Z.J.: Computation offloading method for workflow management in mobile edge computing. J. Comput. Appl. 39(5), 1523\u20131527 (2019)","journal-title":"J. Comput. Appl."},{"issue":"12","key":"32_CR8","doi-asserted-by":"publisher","first-page":"3590","DOI":"10.1109\/JSAC.2016.2611964","volume":"34","author":"Y Mao","year":"2016","unstructured":"Mao, Y., Zhang, J.: Dynamic computation offloading for mobile-edge computing with energy harvesting devices. IEEE J. Sel. Areas Commun. 34(12), 3590\u20133605 (2016)","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"32_CR9","unstructured":"Kong, Y.: Research on Task Transfer Strategy in Mobile Edge Computing Environment. Xi'an University of Technology, Xi'an (2018)"},{"issue":"1","key":"32_CR10","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1007\/s11227-014-1177-y","volume":"69","author":"J Vilaplana","year":"2014","unstructured":"Vilaplana, J., Solsona, F., Teixid\u00f3, I., Mateo, J., Abella, F., Rius, J.: A queuing theory model for cloud computing. J. Supercomput. 69(1), 492\u2013507 (2014). https:\/\/doi.org\/10.1007\/s11227-014-1177-y","journal-title":"J. Supercomput."},{"key":"32_CR11","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.ins.2015.02.023","volume":"319","author":"L Zhang","year":"2015","unstructured":"Zhang, L., Li, K., Xu, Y.: Maximizing reliability with energy conservation for parallel task scheduling in a heterogeneous cluster. Inf. Sci. 319, 113\u2013131 (2015)","journal-title":"Inf. Sci."},{"key":"32_CR12","unstructured":"Ma, W., Xun, Z. X.: Artificial bee colony algorithm based on elite swarm search strategy. J. Comput. Appl. (2014)"},{"key":"32_CR13","unstructured":"Cagatay, S., Atay, O.: EdgeCloudSim: an environment for performance evaluation of edge computing systems. In: International Conference on Fog and Mobile Computing (2017)"},{"key":"32_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1007\/3-540-45356-3_83","volume-title":"Parallel Problem Solving from Nature PPSN VI","author":"K Deb","year":"2000","unstructured":"Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: Schoenauer, M. (ed.) PPSN 2000. LNCS, vol. 1917, pp. 849\u2013858. Springer, Heidelberg (2000). https:\/\/doi.org\/10.1007\/3-540-45356-3_83"},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Bharathi, S., Chervenak, A., Deelman, E., Mehta, G., Vahi, K.: Characterization of scientific workflows. In: Proceedings of the The Third Workshop on Workflows in Support of Large-Scale Science, Austin, TX, USA, p. 10 (2008)","DOI":"10.1109\/WORKS.2008.4723958"},{"key":"32_CR16","doi-asserted-by":"crossref","unstructured":"Peng, Z.R., Wang, G.J.: An optimal energy-saving real-time task-scheduling algorithm for mobile terminals. Int. J. Distrib. Sens. Netw. (2017)","DOI":"10.1177\/1550147717707891"},{"key":"32_CR17","doi-asserted-by":"crossref","unstructured":"Peng, K., Huang, H.L., Pan, W.J.: Joint optimisation for time consumption and energy consumption of multi-application and load balancing of cloudlets in mobile edge computing. The Institution of Engineer and Technology (2020)","DOI":"10.1049\/iet-cps.2019.0085"}],"container-title":["Communications in Computer and Information Science","Parallel Architectures, Algorithms and Programming"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-0010-4_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T14:40:54Z","timestamp":1617288054000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-16-0010-4_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811600098","9789811600104"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-0010-4_32","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"7 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Parallel Architectures, Algorithms and Programming","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"paap2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"75","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}