{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T14:04:40Z","timestamp":1776866680909,"version":"3.51.2"},"publisher-location":"Singapore","reference-count":41,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819707973","type":"print"},{"value":"9789819707980","type":"electronic"}],"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\/978-981-97-0798-0_17","type":"book-chapter","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T08:03:04Z","timestamp":1709193784000},"page":"290-309","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive Routing for\u00a0Datacenter Networks Using Ant Colony Optimization"],"prefix":"10.1007","author":[{"given":"Jinbin","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Man","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuying","family":"Rao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiming","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,1]]},"reference":[{"issue":"2","key":"17_CR1","doi-asserted-by":"publisher","first-page":"1817","DOI":"10.1109\/TNSM.2022.3213575","volume":"20","author":"W Wei","year":"2022","unstructured":"Wei, W., Gu, H., Wang, K., et al.: Multi-dimensional resource allocation in distributed data centers using deep reinforcement learning. IEEE Trans. Netw. Serv. Manage. 20(2), 1817\u20131829 (2022)","journal-title":"IEEE Trans. Netw. Serv. Manage."},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Li, H., Zhang, Y., Li, D., et al.: URSA: hybrid block storage for cloud-scale virtual disks. In: Proceedings of the Fourteenth EuroSys Conference, pp. 1\u201317 (2019)","DOI":"10.1145\/3302424.3303967"},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.comnet.2014.12.014","volume":"80","author":"Y Zhao","year":"2015","unstructured":"Zhao, Y., Huang, Y., Chen, K., Yu, M., et al.: Joint VM placement and topology optimization for traffic scalability in dynamic datacenter networks. Comput. Netw. 80, 109\u2013123 (2015)","journal-title":"Comput. Netw."},{"issue":"1","key":"17_CR4","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.32604\/cmc.2023.035932","volume":"75","author":"J Wang","year":"2023","unstructured":"Wang, J., Yuan, D., Luo, W., et al.: Congestion control using in-network telemetry for lossless datacenters. Comput. Mater. Continua. 75(1), 1195\u20131212 (2023)","journal-title":"Comput. Mater. Continua."},{"issue":"2","key":"17_CR5","doi-asserted-by":"publisher","first-page":"1500","DOI":"10.1109\/TCC.2022.3142066","volume":"11","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Wang, W., Liu, D., et al.: Enabling edge-cloud video analytics for robotics applications. IEEE Trans. Cloud Comput. 11(2), 1500\u20131513 (2023)","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"2","key":"17_CR6","doi-asserted-by":"publisher","first-page":"1898","DOI":"10.1109\/TNSM.2022.3218343","volume":"20","author":"J Hu","year":"2023","unstructured":"Hu, J., Huang, J., Li, Z., Wang, J., He, T.: A receiver-driven transport protocol with high link utilization using anti-ECN marking in data center networks. IEEE Trans. Netw. Serv. Manage. 20(2), 1898\u20131912 (2023)","journal-title":"IEEE Trans. Netw. Serv. Manage."},{"key":"17_CR7","doi-asserted-by":"crossref","unstructured":"Zheng, J., Du, Z., Zha, Z., et al.: Learning to configure converters in hybrid switching data center networks. IEEE\/ACM Trans. Netw., 1\u201315 (2023)","DOI":"10.1109\/TNET.2023.3294803"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Guo, C., Wu, H., Tan, K., Shi, L., Zhang, Y., Lu, S.: DCell: a scalable and fault-tolerant network structure for data centers. In: Proceedings of ACM SIGCOMM, pp. 75\u201386 (2008)","DOI":"10.1145\/1402946.1402968"},{"issue":"4","key":"17_CR9","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1145\/1402946.1402967","volume":"38","author":"M Al-Fares","year":"2008","unstructured":"Al-Fares, M., Loukissas, A., Vahdat, A.: A scalable, commodity data center network architecture. ACM SIGCOMM Comput. Commun. Rev. 38(4), 63\u201374 (2008)","journal-title":"ACM SIGCOMM Comput. Commun. Rev."},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Guo, C., Lu, G., Li, D., et al.: BCube: a high performance, server-centric network architecture for modular data centers. In: Proceedings of ACM SIGCOMM, pp. 63\u201374 (2009)","DOI":"10.1145\/1594977.1592577"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Hu, J., Huang, J., Lv, W., Zhou, Y., Wang, J., He, T.: CAPS: coding-based adaptive packet spraying to reduce flow completion time in data center. In: Proceedings of IEEE INFOCOM, pp. 2294\u20132302 (2018)","DOI":"10.1109\/INFOCOM.2018.8486354"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Hu, J., Huang, J., Lv, W., Li, W., Wang J., He, T.: TLB: Trafficaware load balancing with adaptive granularity in data center networks. In: Proceedings of ACM ICPP, pp. 1\u201310 (2019)","DOI":"10.1145\/3337821.3337866"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Hu, J., He, Y., Wang, J., et al.: RLB: Reordering-robust load balancing in lossless datacenter network. In: Proceedings of ACM ICPP (2023)","DOI":"10.1145\/3605573.3605617"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Hu, J., Zeng, C., Wang, Z., et al.: Enabling load balancing for lossless datacenters. In: Proceedings of IEEE ICNP (2023)","DOI":"10.1109\/ICNP59255.2023.10355615"},{"key":"17_CR15","doi-asserted-by":"crossref","unstructured":"Zhang, H., Zhang, J., Bai, W., Chen, K., Chowdhury, M.: Resilient datacenter load balancing in the wild. In: Proceedings of ACM SIGCOMM, pp. 253\u2013266 (2017)","DOI":"10.1145\/3098822.3098841"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Liu, Y., Li, W., Qu, W., Qi, H.: BULB: lightweight and automated load balancing for fast datacenter networks. In: Proceedings of ACM ICPP, pp. 1\u201311 (2022)","DOI":"10.1145\/3545008.3545021"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"Hu, J., Zeng, C., Wang, Z., Xu, H., Huang, J., Chen, K.: Load balancing in PFC-enabled datacenter networks. In: Proceedings of ACM APNet (2022)","DOI":"10.1145\/3542637.3542641"},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Xu, R., Li, W., Li, K., Zhou, X., Qi, H.: DarkTE: towards dark traffic engineering in data center networks with ensemble learning. In: Proceedings of IEEE\/ACM IWQOS, pp. 1\u201310 (2021)","DOI":"10.1109\/IWQOS52092.2021.9521298"},{"issue":"4","key":"17_CR19","doi-asserted-by":"publisher","first-page":"2564","DOI":"10.1109\/TCC.2020.3040312","volume":"10","author":"W Li","year":"2020","unstructured":"Li, W., Chen, S., Li, K., Qi, H., Xu, R., Zhang, S.: Efficient online scheduling for coflow-aware machine learning clusters. IEEE Trans. Cloud Comput. 10(4), 2564\u20132579 (2020)","journal-title":"IEEE Trans. Cloud Comput."},{"key":"17_CR20","doi-asserted-by":"crossref","unstructured":"Wang, J., Rao, S., Liu, Y., et al.: Load balancing for heterogeneous traffic in datacenter networks. J. Netw. Comput. Appl., 217 (2023)","DOI":"10.1016\/j.jnca.2023.103692"},{"key":"17_CR21","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/j.neucom.2022.03.007","volume":"489","author":"W Wei","year":"2022","unstructured":"Wei, W., Gu, H., Deng, W., et al.: ABL-TC: a lightweight design for network traffic classification empowered by deep learning. Neurocomputing 489, 333\u2013344 (2022)","journal-title":"Neurocomputing"},{"key":"17_CR22","doi-asserted-by":"crossref","unstructured":"He, X., Li, W., Zhang, S., Li, K.: Efficient control of unscheduled packets for credit-based proactive transport. In: Proceedings of ICPADS, pp. 593\u2013600 (2023)","DOI":"10.1109\/ICPADS56603.2022.00083"},{"key":"17_CR23","doi-asserted-by":"crossref","unstructured":"Li, W., Yuan, X., Li, K., Qi, H., Zhou, X.: Leveraging endpoint flexibility when scheduling coflows across geo-distributed datacenters. In: Proceedings of IEEE INFOCOM, pp. 873\u2013881 (2018)","DOI":"10.1109\/INFOCOM.2018.8486319"},{"key":"17_CR24","doi-asserted-by":"crossref","unstructured":"Hu, C., Liu, B., Zhao, H., Chen, K., et al.: DISCO: memory efficient and accurate flow statistics for network measurement. In: Proceedings of IEEE ICDCS, pp. 665\u2013674 (2010)","DOI":"10.1109\/ICDCS.2010.57"},{"key":"17_CR25","doi-asserted-by":"crossref","unstructured":"Bai, W., Chen, K., Hu, S., Tan, K., Xiong, Y.: Congestion control for high-speed extremely shallow-buffered datacenter networks. In: Proceedings of ACM APNet, pp. 29\u201335 (2017)","DOI":"10.1145\/3106989.3107003"},{"key":"17_CR26","doi-asserted-by":"crossref","unstructured":"Cho, I., Jang, K., Han, D.: Credit-scheduled delay-bounded congestion control for datacenters. In: Proceedings of ACM SIGCOMM, pp. 239\u2013252 (2017)","DOI":"10.1145\/3098822.3098840"},{"issue":"3","key":"17_CR27","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1109\/TNET.2013.2270439","volume":"22","author":"C Hu","year":"2013","unstructured":"Hu, C., Liu, B., Zhao, H., et al.: Discount counting for fast flow statistics on flow size and flow volume. IEEE\/ACM Trans. Netw. 22(3), 970\u2013981 (2013)","journal-title":"IEEE\/ACM Trans. Netw."},{"key":"17_CR28","doi-asserted-by":"crossref","unstructured":"Li, Z., Bai, W., Chen, K., et al.: Rate-aware flow scheduling for commodity data center networks. In: Proceedings of IEEE INFOCOM, pp. 1\u20139 (2017)","DOI":"10.1109\/INFOCOM.2017.8057082"},{"key":"17_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, J., Bai, W., Chen, K.: Enabling ECN for datacenter networks with RTT variations. In Proceedings of ACM the 15th International Conference on Emerging Networking Experiments And Technologies, pp. 233\u2013245 (2020)","DOI":"10.1145\/3359989.3365426"},{"issue":"2","key":"17_CR30","doi-asserted-by":"publisher","first-page":"3849","DOI":"10.32604\/cmc.2023.037150","volume":"75","author":"J Wang","year":"2023","unstructured":"Wang, J., Liu, Y., Rao, S., et al.: Enhancing security by using GIFT and ECC encryption method in multi-tenant datacenters. Comput. Mater. Continua. 75(2), 3849\u20133865 (2023)","journal-title":"Comput. Mater. Continua."},{"key":"17_CR31","doi-asserted-by":"crossref","unstructured":"Hopps, C.E.: Analysis of an equal-cost multi-path algorithm (2000)","DOI":"10.17487\/rfc2992"},{"key":"17_CR32","doi-asserted-by":"crossref","unstructured":"Dixit, A., Prakash, P., Hu, Y. C., Kompella, R.R.: On the impact of packet spraying in data center networks. In: Proceedings of IEEE INFOCOM, pp. 2130\u20132138 (2013)","DOI":"10.1109\/INFCOM.2013.6567015"},{"key":"17_CR33","unstructured":"Vanini, E., Pan, R., Alizadeh, M., Taheri, P., Edsall, T.: Let it flow: resilient asymmetric load balancing with flowlet switching. In: Proceedings of NSDI, pp. 407\u2013420 (2017)"},{"key":"17_CR34","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.comnet.2017.07.004","volume":"126","author":"J Lv","year":"2017","unstructured":"Lv, J., Wang, X., Ren, K., Huang, M., Li, K.: ACO-inspired information-centric networking routing mechanism. Comput. Netw. 126, 200\u2013217 (2017)","journal-title":"Comput. Netw."},{"key":"17_CR35","doi-asserted-by":"crossref","unstructured":"Gupta, A., Garg, R.: Load balancing based task scheduling with ACO in cloud computing. In: Proceedings of IEEE ICCA, pp. 174\u2013179 (2017)","DOI":"10.1109\/COMAPP.2017.8079781"},{"key":"17_CR36","doi-asserted-by":"crossref","unstructured":"Wang, J., Liu, Y., Rao, S., et al.: A novel self-adaptive multi-strategy artificial bee colony algorithm for coverage optimization in wireless sensor networks. Ad Hoc Netw., 150 (2023)","DOI":"10.1016\/j.adhoc.2023.103284"},{"key":"17_CR37","doi-asserted-by":"crossref","unstructured":"Katta, N., Hira, M., Kim, C., Sivaraman, A., Rexford, J.: HULA: scalable load balancing using programmable data planes. In: Proceedings of ACM SOSR, pp. 1\u201312 (2016)","DOI":"10.1145\/2890955.2890968"},{"key":"17_CR38","unstructured":"Al-Fares, M., Radhakrishnan, S., Raghavan, B., Huang, N., Vahdat, A.: Hedera: dynamic flow scheduling for data center networks. In: Proceedings of NSDI, pp. 89\u201392 (2010)"},{"key":"17_CR39","doi-asserted-by":"crossref","unstructured":"Curtis, A.R., Kim, W., Yalagandula, P.: Mahout: low-overhead datacenter traffic management using end-host-based elephant detection. In: Proceedings of IEEE INFOCOM, pp. 1629\u20131637 (2011)","DOI":"10.1109\/INFCOM.2011.5934956"},{"key":"17_CR40","doi-asserted-by":"crossref","unstructured":"Alizadeh, M., Edsall, T., Dharmapurikar, S., et al.: CONGA: distributed congestion-aware load balancing for datacenters. In: Proceedings of ACM SIGCOMM, pp. 503\u2013514 (2014)","DOI":"10.1145\/2740070.2626316"},{"key":"17_CR41","doi-asserted-by":"crossref","unstructured":"Ghorbani, S., Yang, Z., Godfrey, P.B., et al.: DRILL: micro load balancing for low-latency data center networks. In: Proceedings of ACM SIGCOMM, pp. 225\u2013238 (2017)","DOI":"10.1145\/3098822.3098839"}],"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\/978-981-97-0798-0_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T08:07:39Z","timestamp":1709194059000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-0798-0_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819707973","9789819707980"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-0798-0_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"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)"}}]}}