{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T09:42:17Z","timestamp":1775122937283,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":10,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819615414","type":"print"},{"value":"9789819615421","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-1542-1_21","type":"book-chapter","created":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T17:18:02Z","timestamp":1739553482000},"page":"351-362","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing Delay-Sensitive Task Offloading: A Multi-agent Deep Reinforcement Learning Algorithm for MEC-Based AIoT Systems"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0695-3958","authenticated-orcid":false,"given":"Fengjie","family":"Tang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7910-4651","authenticated-orcid":false,"given":"Jia","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8400-5754","authenticated-orcid":false,"given":"Xiao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5604-1598","authenticated-orcid":false,"given":"Aiting","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8420-5048","authenticated-orcid":false,"given":"Mingyan","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6630-2958","authenticated-orcid":false,"given":"Xuejun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,15]]},"reference":[{"key":"21_CR1","doi-asserted-by":"crossref","unstructured":"Xu, L., Xu, E., Li, L.: Industry 4.0: state of the art and future trends. Int. J. Prod. Res. 56(8), 2941\u20132962 (2018)","DOI":"10.1080\/00207543.2018.1444806"},{"key":"21_CR2","unstructured":"Cisco annual internet report white paper. https:\/\/www.cisco.com\/c\/en\/us\/solutions\/executiveperspectives\/annual-internet-report\/index.html"},{"key":"21_CR3","unstructured":"JD.com fully automated warehouse in Shanghai. https:\/\/www.youtube.com\/watch?v=RFV8IkY52iY"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Bai, T., Wang, J., Ren, Y., Hanzo, L.: Energy-efficient computation offloading for secure UAV-edge-computing systems. IEEE Trans. Veh. Technol. 68(6), 6074\u20136087 (2019)","DOI":"10.1109\/TVT.2019.2912227"},{"issue":"7","key":"21_CR5","doi-asserted-by":"publisher","first-page":"7136","DOI":"10.1109\/TVT.2019.2919915","volume":"68","author":"Z Zhao","year":"2019","unstructured":"Zhao, Z., et al.: On the design of computation offloading in fog radio access networks. IEEE Trans. Veh. Technol. 68(7), 7136\u20137149 (2019)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhou, Z., Chen, C.: Code caching-assisted computation offloading and resource allocation for multi-user mobile edge computing. IEEE Trans. Netw. Serv. Manag. 18(4), 4517\u20134530 (2021)","DOI":"10.1109\/TNSM.2021.3103533"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Tang, H., Wu, H., Zhao, Y., Li, R.: Joint computation offloading and resource allocation under task-overflowed situations in mobile-edge computing. IEEE Trans. Netw. Serv. Manag. 19(2), 1539\u20131553 (2021)","DOI":"10.1109\/TNSM.2021.3135389"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Huang, L., Bi, S., Zhang, Y.: Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks. IEEE Trans. Mob. Comput. 19(11), 2581\u20132593(2019)","DOI":"10.1109\/TMC.2019.2928811"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"He, Y., Zhao, N., Yin, H.: Integrated networking, caching, and computing for connected vehicles. A deep reinforcement learning approach. IEEE Trans. Veh. Technol. 67 (1), 44\u201355 (2017)","DOI":"10.1109\/TVT.2017.2760281"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Huynh, L., Pham, Q., Pham, X., Nguyen, T., Hossain, M., Huh, E.: Efficient computation offloading in multi-tier multi-access edge computing systems: a particle swarm optimization approach. Appl. Sci. 10 (1), 203\u2013223 (2019)","DOI":"10.3390\/app10010203"}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-1542-1_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T17:18:07Z","timestamp":1739553487000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-1542-1_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819615414","9789819615421"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-1542-1_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"15 February 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Macau","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ica3pp2024.scimeeting.cn\/en\/web\/index\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}