{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:24:41Z","timestamp":1742937881674,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":34,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819708000"},{"type":"electronic","value":"9789819708017"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-981-97-0801-7_25","type":"book-chapter","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T08:03:04Z","timestamp":1709193784000},"page":"433-451","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Reliable Function Computation Offloading in\u00a0Cloud-Edge Collaborative Network"],"prefix":"10.1007","author":[{"given":"Shaonan","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongqiang","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongbo","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yumeng","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,1]]},"reference":[{"issue":"2","key":"25_CR1","doi-asserted-by":"publisher","first-page":"1848","DOI":"10.1109\/JIOT.2022.3209987","volume":"10","author":"J Cai","year":"2023","unstructured":"Cai, J., Fu, H., Liu, Y.: Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial internet of things. IEEE Internet Things J. 10(2), 1848\u20131859 (2023). https:\/\/doi.org\/10.1109\/JIOT.2022.3209987","journal-title":"IEEE Internet Things J."},{"issue":"7","key":"25_CR2","doi-asserted-by":"publisher","first-page":"6201","DOI":"10.1109\/JIOT.2020.2968951","volume":"7","author":"Z Cao","year":"2020","unstructured":"Cao, Z., Zhou, P., Li, R., Huang, S., Wu, D.O.: Multiagent deep reinforcement learning for joint multichannel access and task offloading of mobile-edge computing in industry 4.0. IEEE Internet Things J. 7(7), 6201\u20136213 (2020). https:\/\/doi.org\/10.1109\/JIOT.2020.2968951","journal-title":"IEEE Internet Things J."},{"issue":"5","key":"25_CR3","doi-asserted-by":"publisher","first-page":"3799","DOI":"10.1109\/JIOT.2021.3100117","volume":"9","author":"Q Chen","year":"2022","unstructured":"Chen, Q., Kuang, Z., Zhao, L.: Multiuser computation offloading and resource allocation for cloud-edge heterogeneous network. IEEE Internet Things J. 9(5), 3799\u20133811 (2022). https:\/\/doi.org\/10.1109\/JIOT.2021.3100117","journal-title":"IEEE Internet Things J."},{"issue":"10","key":"25_CR4","doi-asserted-by":"publisher","first-page":"6950","DOI":"10.1109\/TCOMM.2022.3200109","volume":"70","author":"Z Chen","year":"2022","unstructured":"Chen, Z., Yi, W., Alam, A.S., Nallanathan, A.: Dynamic task software caching-assisted computation offloading for multi-access edge computing. IEEE Trans. Commun. 70(10), 6950\u20136965 (2022). https:\/\/doi.org\/10.1109\/TCOMM.2022.3200109","journal-title":"IEEE Trans. Commun."},{"issue":"6","key":"25_CR5","doi-asserted-by":"publisher","first-page":"1503","DOI":"10.1109\/TPDS.2021.3112604","volume":"33","author":"Y Ding","year":"2022","unstructured":"Ding, Y., Li, K., Liu, C., Li, K.: A potential game theoretic approach to computation offloading strategy optimization in end-edge-cloud computing. IEEE Trans. Parallel Distrib. Syst. 33(6), 1503\u20131519 (2022). https:\/\/doi.org\/10.1109\/TPDS.2021.3112604","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"10","key":"25_CR6","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.1109\/TC.2020.2976996","volume":"69","author":"M Du","year":"2020","unstructured":"Du, M., Wang, Y., Ye, K., Xu, C.: Algorithmics of cost-driven computation offloading in the edge-cloud environment. IEEE Trans. Comput. 69(10), 1519\u20131532 (2020). https:\/\/doi.org\/10.1109\/TC.2020.2976996","journal-title":"IEEE Trans. Comput."},{"issue":"10","key":"25_CR7","doi-asserted-by":"publisher","first-page":"12004","DOI":"10.1109\/TVT.2020.3008926","volume":"69","author":"R Fantacci","year":"2020","unstructured":"Fantacci, R., Picano, B.: Performance analysis of a delay constrained data offloading scheme in an integrated cloud-fog-edge computing system. IEEE Trans. Veh. Technol. 69(10), 12004\u201312014 (2020). https:\/\/doi.org\/10.1109\/TVT.2020.3008926","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"2","key":"25_CR8","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1109\/TCOMM.2020.3038875","volume":"69","author":"K Guo","year":"2021","unstructured":"Guo, K., Gao, R., Xia, W., Quek, T.Q.S.: Online learning based computation offloading in MEC systems with communication and computation dynamics. IEEE Trans. Commun. 69(2), 1147\u20131162 (2021). https:\/\/doi.org\/10.1109\/TCOMM.2020.3038875","journal-title":"IEEE Trans. Commun."},{"issue":"10","key":"25_CR9","doi-asserted-by":"publisher","first-page":"6838","DOI":"10.1109\/TCOMM.2021.3096559","volume":"69","author":"EE Haber","year":"2021","unstructured":"Haber, E.E., Alameddine, H.A., Assi, C., Sharafeddine, S.: UAV-aided ultra-reliable low-latency computation offloading in future IoT networks. IEEE Trans. Commun. 69(10), 6838\u20136851 (2021). https:\/\/doi.org\/10.1109\/TCOMM.2021.3096559","journal-title":"IEEE Trans. Commun."},{"key":"25_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jpdc.2020.10.004","volume":"149","author":"J Hu","year":"2021","unstructured":"Hu, J., Li, K., Liu, C., Chen, J., Li, K.: Coalition formation for deadline-constrained resource procurement in cloud computing. J. Parallel Distrib. Comput. 149, 1\u201312 (2021). https:\/\/doi.org\/10.1016\/j.jpdc.2020.10.004","journal-title":"J. Parallel Distrib. Comput."},{"key":"25_CR11","doi-asserted-by":"publisher","unstructured":"Jia, J., Yang, L., Cao, J.: Reliability-aware dynamic service chain scheduling in 5G networks based on reinforcement learning. In: 40th IEEE Conference on Computer Communications, INFOCOM 2021, Vancouver, BC, Canada, 10\u201313 May 2021, pp. 1\u201310. IEEE (2021). https:\/\/doi.org\/10.1109\/INFOCOM42981.2021.9488707","DOI":"10.1109\/INFOCOM42981.2021.9488707"},{"key":"25_CR12","doi-asserted-by":"publisher","unstructured":"Liang, B., Ji, W.: Multiuser computation offloading for edge-cloud collaboration using submodular optimization. Tongxin Xuebao\/J. Commun. 41(10), 25\u201336 (2020). communication resources;Computation offloading;Computing-task;Edge clouds;Greedy algorithms;Mode selection;Stable systems;Submodular optimizations. https:\/\/doi.org\/10.11959\/j.issn.1000-436x.2020205","DOI":"10.11959\/j.issn.1000-436x.2020205"},{"issue":"1","key":"25_CR13","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1109\/TPDS.2022.3214783","volume":"34","author":"C Lin","year":"2023","unstructured":"Lin, C., Mahmoudi, N., Fan, C., Khazaei, H.: Fine-grained performance and cost modeling and optimization for Faas applications. IEEE Trans. Parallel Distrib. Syst. 34(1), 180\u2013194 (2023). https:\/\/doi.org\/10.1109\/TPDS.2022.3214783","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"25_CR14","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1016\/j.tcs.2019.08.019","volume":"806","author":"G Liu","year":"2020","unstructured":"Liu, G., Xiao, Z., Tan, G., Li, K., Chronopoulos, A.T.: Game theory-based optimization of distributed idle computing resources in cloud environments. Theor. Comput. Sci. 806, 468\u2013488 (2020). https:\/\/doi.org\/10.1016\/j.tcs.2019.08.019","journal-title":"Theor. Comput. Sci."},{"issue":"8","key":"25_CR15","doi-asserted-by":"publisher","first-page":"4858","DOI":"10.1109\/TWC.2021.3062616","volume":"20","author":"J Peng","year":"2021","unstructured":"Peng, J., Qiu, H., Cai, J., Xu, W., Wang, J.: D2d-assisted multi-user cooperative partial offloading, transmission scheduling and computation allocating for MEC. IEEE Trans. Wirel. Commun. 20(8), 4858\u20134873 (2021). https:\/\/doi.org\/10.1109\/TWC.2021.3062616","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"16","key":"25_CR16","doi-asserted-by":"publisher","first-page":"12694","DOI":"10.1109\/JIOT.2020.3007650","volume":"8","author":"C Qiu","year":"2021","unstructured":"Qiu, C., Wang, X., Yao, H., Du, J., Yu, F.R., Guo, S.: Networking integrated cloud-edge-end in IoT: a blockchain-assisted collective Q-learning approach. IEEE Internet Things J. 8(16), 12694\u201312704 (2021). https:\/\/doi.org\/10.1109\/JIOT.2020.3007650","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"25_CR17","doi-asserted-by":"publisher","first-page":"2462","DOI":"10.1109\/COMST.2020.3009103","volume":"22","author":"T Qiu","year":"2020","unstructured":"Qiu, T., Chi, J., Zhou, X., Ning, Z., Atiquzzaman, M., Wu, D.O.: Edge computing in industrial internet of things: architecture, advances and challenges. IEEE Commun. Surv. Tut. 22(4), 2462\u20132488 (2020). https:\/\/doi.org\/10.1109\/COMST.2020.3009103","journal-title":"IEEE Commun. Surv. Tut."},{"issue":"3","key":"25_CR18","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1109\/TNSM.2017.2723090","volume":"14","author":"L Qu","year":"2017","unstructured":"Qu, L., Assi, C., Shaban, K.B., Khabbaz, M.J.: A reliability-aware network service chain provisioning with delay guarantees in NFV-enabled enterprise datacenter networks. IEEE Trans. Netw. Serv. Manag. 14(3), 554\u2013568 (2017). https:\/\/doi.org\/10.1109\/TNSM.2017.2723090","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"issue":"5","key":"25_CR19","doi-asserted-by":"publisher","first-page":"5031","DOI":"10.1109\/TVT.2019.2904244","volume":"68","author":"J Ren","year":"2019","unstructured":"Ren, J., Yu, G., He, Y., Li, G.Y.: Collaborative cloud and edge computing for latency minimization. IEEE Trans. Veh. Technol. 68(5), 5031\u20135044 (2019). https:\/\/doi.org\/10.1109\/TVT.2019.2904244","journal-title":"IEEE Trans. Veh. Technol."},{"key":"25_CR20","doi-asserted-by":"publisher","unstructured":"Riera, J.F., Escalona, E., Batalle, J., Grasa, E., Garcia-Espin, J.A.: Virtual network function scheduling: concept and challenges, Vilanova i la Geltru, Spain (2014). complex scheduling;Network functions;Network services;Proof of concept;Routing function;Scheduling problem;State of the art;Virtual networks. https:\/\/doi.org\/10.1109\/SaCoNeT.2014.6867768","DOI":"10.1109\/SaCoNeT.2014.6867768"},{"issue":"4","key":"25_CR21","doi-asserted-by":"publisher","first-page":"3246","DOI":"10.1109\/JIOT.2018.2838022","volume":"5","author":"H Shah-Mansouri","year":"2018","unstructured":"Shah-Mansouri, H., Wong, V.W.S.: Hierarchical fog-cloud computing for IoT systems: a computation offloading game. IEEE Internet Things J. 5(4), 3246\u20133257 (2018). https:\/\/doi.org\/10.1109\/JIOT.2018.2838022","journal-title":"IEEE Internet Things J."},{"key":"25_CR22","doi-asserted-by":"publisher","unstructured":"Sun, C., et al.: Task offloading for end-edge-cloud orchestrated computing in mobile networks. In: 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020, Seoul, South Korea, 25\u201328 May 2020, pp. 1\u20136. IEEE (2020). https:\/\/doi.org\/10.1109\/WCNC45663.2020.9120496","DOI":"10.1109\/WCNC45663.2020.9120496"},{"key":"25_CR23","doi-asserted-by":"publisher","unstructured":"Wang, C., Zhang, S., Chen, Y., Qian, Z., Wu, J., Xiao, M.: Joint configuration adaptation and bandwidth allocation for edge-based real-time video analytics. In: 39th IEEE Conference on Computer Communications, INFOCOM 2020, Toronto, ON, Canada, 6\u20139 July 2020, pp. 257\u2013266. IEEE (2020). https:\/\/doi.org\/10.1109\/INFOCOM41043.2020.9155524","DOI":"10.1109\/INFOCOM41043.2020.9155524"},{"issue":"8","key":"25_CR24","doi-asserted-by":"publisher","first-page":"7432","DOI":"10.1109\/TVT.2017.2672701","volume":"66","author":"C Wang","year":"2017","unstructured":"Wang, C., Yu, F.R., Liang, C., Chen, Q., Tang, L.: Joint computation offloading and interference management in wireless cellular networks with mobile edge computing. IEEE Trans. Veh. Technol. 66(8), 7432\u20137445 (2017). https:\/\/doi.org\/10.1109\/TVT.2017.2672701","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"5","key":"25_CR25","doi-asserted-by":"publisher","first-page":"4157","DOI":"10.1109\/TVT.2018.2890686","volume":"68","author":"H Yang","year":"2019","unstructured":"Yang, H., Xie, X., Kadoch, M.: Intelligent resource management based on reinforcement learning for ultra-reliable and low-latency IoV communication networks. IEEE Trans. Veh. Technol. 68(5), 4157\u20134169 (2019). https:\/\/doi.org\/10.1109\/TVT.2018.2890686","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"16","key":"25_CR26","doi-asserted-by":"publisher","first-page":"12490","DOI":"10.1109\/JIOT.2021.3068722","volume":"8","author":"Y Yang","year":"2021","unstructured":"Yang, Y., Long, C., Wu, J., Peng, S., Li, B.: D2D-enabled mobile-edge computation offloading for multiuser IoT network. IEEE Internet Things J. 8(16), 12490\u201312504 (2021). https:\/\/doi.org\/10.1109\/JIOT.2021.3068722","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"25_CR27","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1109\/TWC.2016.2633522","volume":"16","author":"C You","year":"2017","unstructured":"You, C., Huang, K., Chae, H., Kim, B.: Energy-efficient resource allocation for mobile-edge computation offloading. IEEE Trans. Wirel. Commun. 16(3), 1397\u20131411 (2017). https:\/\/doi.org\/10.1109\/TWC.2016.2633522","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"6","key":"25_CR28","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1109\/TC.2020.2969148","volume":"69","author":"Y Zhan","year":"2020","unstructured":"Zhan, Y., Guo, S., Li, P., Zhang, J.: A deep reinforcement learning based offloading game in edge computing. IEEE Trans. Comput. 69(6), 883\u2013893 (2020). https:\/\/doi.org\/10.1109\/TC.2020.2969148","journal-title":"IEEE Trans. Comput."},{"issue":"10","key":"25_CR29","doi-asserted-by":"publisher","first-page":"9303","DOI":"10.1109\/JIOT.2020.3000527","volume":"7","author":"J Zhang","year":"2020","unstructured":"Zhang, J., Du, J., Shen, Y., Wang, J.: Dynamic computation offloading with energy harvesting devices: a hybrid-decision-based deep reinforcement learning approach. IEEE Internet Things J. 7(10), 9303\u20139317 (2020). https:\/\/doi.org\/10.1109\/JIOT.2020.3000527","journal-title":"IEEE Internet Things J."},{"issue":"2","key":"25_CR30","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1109\/JSAC.2020.3020659","volume":"39","author":"L Zhang","year":"2021","unstructured":"Zhang, L., Cao, B., Li, Y., Peng, M., Feng, G.: A multi-stage stochastic programming-based offloading policy for fog enabled IoT-ehealth. IEEE J. Sel. Areas Commun. 39(2), 411\u2013425 (2021). https:\/\/doi.org\/10.1109\/JSAC.2020.3020659","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"10","key":"25_CR31","doi-asserted-by":"publisher","first-page":"10925","DOI":"10.1109\/TVT.2021.3108508","volume":"70","author":"M Zhao","year":"2021","unstructured":"Zhao, M., et al.: Energy-aware task offloading and resource allocation for time-sensitive services in mobile edge computing systems. IEEE Trans. Veh. Technol. 70(10), 10925\u201310940 (2021). https:\/\/doi.org\/10.1109\/TVT.2021.3108508","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"1","key":"25_CR32","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1109\/LCOMM.2022.3220233","volume":"27","author":"N Zhao","year":"2023","unstructured":"Zhao, N., Du, W., Ren, F., Pei, Y., Liang, Y., Niyato, D.: Joint task offloading, resource sharing and computation incentive for edge computing networks. IEEE Commun. Lett. 27(1), 258\u2013262 (2023). https:\/\/doi.org\/10.1109\/LCOMM.2022.3220233","journal-title":"IEEE Commun. Lett."},{"issue":"2","key":"25_CR33","doi-asserted-by":"publisher","first-page":"1517","DOI":"10.1109\/JIOT.2021.3091142","volume":"9","author":"H Zhou","year":"2022","unstructured":"Zhou, H., Jiang, K., Liu, X., Li, X., Leung, V.C.M.: Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing. IEEE Internet Things J. 9(2), 1517\u20131530 (2022). https:\/\/doi.org\/10.1109\/JIOT.2021.3091142","journal-title":"IEEE Internet Things J."},{"issue":"12","key":"25_CR34","doi-asserted-by":"publisher","first-page":"9763","DOI":"10.1109\/JIOT.2020.3040768","volume":"8","author":"X Zhu","year":"2021","unstructured":"Zhu, X., Luo, Y., Liu, A., Bhuiyan, M.Z.A., Zhang, S.: Multiagent deep reinforcement learning for vehicular computation offloading in IoT. IEEE Internet Things J. 8(12), 9763\u20139773 (2021). https:\/\/doi.org\/10.1109\/JIOT.2020.3040768","journal-title":"IEEE Internet Things J."}],"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\/978-981-97-0801-7_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T08:14:18Z","timestamp":1709194458000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-0801-7_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819708000","9789819708017"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-0801-7_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 March 2024","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":"Tianjin","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tjutanklab.com\/ica3pp2023\/","order":11,"name":"conference_url","label":"Conference URL","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":"Online submission system","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"439","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":"145","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":"33% - 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":"5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}