{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T15:27:20Z","timestamp":1770046040789,"version":"3.49.0"},"reference-count":6,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T00:00:00Z","timestamp":1615766400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2021,10,14]]},"abstract":"<jats:p>In server clusters, the static scheduling algorithm has superior performance when the user visits are relatively stable. In the face of sudden increase in user traffic, the dynamic scheduling algorithm has a better load balancing effect than the static scheduling algorithm. However, in the face of complex network environments, the static scheduling algorithm cannot adjust the load according to the performance of the server in real time. The dynamic scheduling algorithm using a single weight to evaluate server performance is unreliable, and load scheduling with reference to the number of connections has uncertainty. In view of this problem, this paper proposes a cluster load balancing algorithm based on dynamic consistent hash based on the study of load balancing based on LVS clusters. By analyzing the performance and load parameters, we divide the request process into in-cycle and out-of-cycle. By setting up the LVS cluster system, the performance weights, load parameters, number of virtual nodes and cycles of the algorithm in this paper are determined experimentally. Finally, the response time and throughput of the algorithm in this paper are compared with the WRR algorithm and WLC algorithm. The results show that the time and throughput of this algorithm are better than WRR algorithm and WLC algorithm.<\/jats:p>","DOI":"10.3233\/jifs-189706","type":"journal-article","created":{"date-parts":[[2021,6,26]],"date-time":"2021-06-26T05:18:14Z","timestamp":1624684694000},"page":"4461-4468","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Cluster load balancing algorithm based on dynamic consistent hash"],"prefix":"10.1177","volume":"41","author":[{"given":"Xiaoming","family":"Jiang","sequence":"first","affiliation":[{"name":"Changchun University of Science and Technology, Changchun, China"},{"name":"Chongqing Research Institute Changchun University Of Science and Technology, Changchun, China"}]},{"given":"Huamin","family":"Yang","sequence":"additional","affiliation":[{"name":"Changchun University of Science and Technology, Changchun, China"},{"name":"Chongqing Research Institute Changchun University Of Science and Technology, Changchun, China"}]},{"given":"Ya","family":"Yang","sequence":"additional","affiliation":[{"name":"Changchun University of Science and Technology, Changchun, China"},{"name":"Chongqing Research Institute Changchun University Of Science and Technology, Changchun, China"}]},{"given":"Zhanfang","family":"Chen","sequence":"additional","affiliation":[{"name":"Changchun University of Science and Technology, Changchun, China"},{"name":"Chongqing Research Institute Changchun University Of Science and Technology, Changchun, China"}]}],"member":"179","published-online":{"date-parts":[[2021,3,15]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"crossref","unstructured":"SinghA.N. and PrakashS. WAMLB: Weighted Active Monitoring Load Balancing in Cloud Computing Big Data Analytics (2018).","DOI":"10.1007\/978-981-10-6620-7_65"},{"issue":"4","key":"e_1_3_1_3_2","first-page":"379","article-title":"Load balancing algorithm based on dynamic exponential smooth prediction","volume":"3","author":"Meng L.","year":"2016","unstructured":"MengL. and XuY., Load balancing algorithm based on dynamic exponential smooth prediction, Journal of Zhejiang University of Technology3(4) (2016), 379\u2013382.","journal-title":"Journal of Zhejiang University of Technology"},{"issue":"4","key":"e_1_3_1_4_2","first-page":"769","article-title":"Task scheduling algorithm based on load balancing","volume":"52","author":"Zhang L.","year":"2014","unstructured":"ZhangL., LiuS. and HanL., Task scheduling algorithm based on load balancing, Journal of Jilin University52(4) (2014), 769\u2013772.","journal-title":"Journal of Jilin University"},{"key":"e_1_3_1_5_2","unstructured":"QinX. Design and implementation of LVS load balancing cluster[D] Xi\u2019an University of Electronic Science and Technology Xi An China (2014)."},{"issue":"4","key":"e_1_3_1_6_2","first-page":"10","article-title":"Test and Analysis of Load Balance Performance of Database Cluster Based on LVS","volume":"36","author":"Wang C.","year":"2017","unstructured":"WangC. and ZhuY., Test and Analysis of Load Balance Performance of Database Cluster Based on LVS, Microcomputer and Application36(4) (2017), 10\u201313.","journal-title":"Microcomputer and Application"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/4236.769420"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-189706","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-189706","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-189706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T04:22:04Z","timestamp":1770006124000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-189706"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,15]]},"references-count":6,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,10,14]]}},"alternative-id":["10.3233\/JIFS-189706"],"URL":"https:\/\/doi.org\/10.3233\/jifs-189706","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,15]]}}}