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The proposed algorithm reduces the number of servers by merging the loads of the two least loaded servers. Then it determines the standard deviation of the server loads for load balancing. The proposed SMA is compared with an existing load balancing algorithm using the number of minimized servers, load standard deviation and load factor. The simulation results show the efficacy of the SMA.<\/jats:p>","DOI":"10.4018\/ijrsda.2017100102","type":"journal-article","created":{"date-parts":[[2017,7,14]],"date-time":"2017-07-14T14:13:06Z","timestamp":1500041586000},"page":"17-30","source":"Crossref","is-referenced-by-count":1,"title":["An Efficient Server Minimization Algorithm for Internet Distributed Systems"],"prefix":"10.4018","volume":"4","author":[{"given":"Swati","family":"Mishra","sequence":"first","affiliation":[{"name":"Department of CSE and IT, Veer Surendra Sai University of Technology, Burla, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanjaya Kumar","family":"Panda","sequence":"additional","affiliation":[{"name":"Department of CSE and IT, Veer Surendra Sai University of Technology, Burla, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJRSDA.2017100102-0","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2014.2358801"},{"key":"IJRSDA.2017100102-1","unstructured":"Balakrishna, S., & Ding, L. 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