{"title":"Attempting to design differed service broker forwarding strategy for data centres in cloud environment","authors":"S. Prabu, S. Karthik","doi":"10.1504/ijenm.2020.10034046","DOIUrl":null,"url":null,"abstract":"The cloud computing is based on broadcasted computing resources for controlling diverse services like a server, storage and applications. The applications and models are offered in terms of pay per usage using the data centre to the users. The data centres are positioned globally and moreover, these data centres could be overloaded with the escalated number of client applications that are being serviced at the identical time and position which corrupts the comprehensive quality of service of the relayed services. Diverse user applications might need diverse customisation and demands calibrating the performance of the user applications at differed resources are quite intricate. The service supplier is incapable of performing choices for the suitable set of resources. The design of differed service broker forwarding strategies is based on heuristics intended to accomplish minimal reply time based on the transmission medium, bandwidth, latencies and task size. The designed service broker strategy attempts in minimising the overloads of the data centres by conveying the user demand to the subsequent data centres that acquire improved reply and operational time. The analysis reveals potential outcomes in terms of reply and operational time as estimated to the other exiting broker strategies.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Enterprise Network Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijenm.2020.10034046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 0
Abstract
The cloud computing is based on broadcasted computing resources for controlling diverse services like a server, storage and applications. The applications and models are offered in terms of pay per usage using the data centre to the users. The data centres are positioned globally and moreover, these data centres could be overloaded with the escalated number of client applications that are being serviced at the identical time and position which corrupts the comprehensive quality of service of the relayed services. Diverse user applications might need diverse customisation and demands calibrating the performance of the user applications at differed resources are quite intricate. The service supplier is incapable of performing choices for the suitable set of resources. The design of differed service broker forwarding strategies is based on heuristics intended to accomplish minimal reply time based on the transmission medium, bandwidth, latencies and task size. The designed service broker strategy attempts in minimising the overloads of the data centres by conveying the user demand to the subsequent data centres that acquire improved reply and operational time. The analysis reveals potential outcomes in terms of reply and operational time as estimated to the other exiting broker strategies.