{"title":"弹性云平台中服务提供商的优化配置方法","authors":"Samira Talebi, Hassan Khotanlou, Mansour Esmaeilpour","doi":"10.5899/2018/JSCA-00071","DOIUrl":null,"url":null,"abstract":"Nowadays considering developments in computing area, cloud computing is regarded as a new appearing technology in high level computations as well as a storage system in which the service suppliers receive money from users based on the amount of using their services. One of the most important necessities of a distributed system, like cloud, is employing an efficient method for discovery of a service which is in harmony with users' needs that helps managing services and timing users' activities. In this paper, an algorithm is introduced for minimizing the number of service registry message in unstructured peer to peer network of cloud platform for execution of which, the genetic algorithm has been benefited of discover an efficient arrangement of service providers as well as exploiting the breadth first search to discover connective arrangements. The execution is done on different arrangements of service providers the results of which show that the mentioned minimizing algorithm has reached to the most efficient arrangement which leads the least service registry messages.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"111 1","pages":"13-19"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A method for optimized arrangement of service providers in elastic cloud platform\",\"authors\":\"Samira Talebi, Hassan Khotanlou, Mansour Esmaeilpour\",\"doi\":\"10.5899/2018/JSCA-00071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays considering developments in computing area, cloud computing is regarded as a new appearing technology in high level computations as well as a storage system in which the service suppliers receive money from users based on the amount of using their services. One of the most important necessities of a distributed system, like cloud, is employing an efficient method for discovery of a service which is in harmony with users' needs that helps managing services and timing users' activities. In this paper, an algorithm is introduced for minimizing the number of service registry message in unstructured peer to peer network of cloud platform for execution of which, the genetic algorithm has been benefited of discover an efficient arrangement of service providers as well as exploiting the breadth first search to discover connective arrangements. The execution is done on different arrangements of service providers the results of which show that the mentioned minimizing algorithm has reached to the most efficient arrangement which leads the least service registry messages.\",\"PeriodicalId\":38638,\"journal\":{\"name\":\"International Journal of Advances in Soft Computing and its Applications\",\"volume\":\"111 1\",\"pages\":\"13-19\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advances in Soft Computing and its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5899/2018/JSCA-00071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advances in Soft Computing and its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5899/2018/JSCA-00071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
A method for optimized arrangement of service providers in elastic cloud platform
Nowadays considering developments in computing area, cloud computing is regarded as a new appearing technology in high level computations as well as a storage system in which the service suppliers receive money from users based on the amount of using their services. One of the most important necessities of a distributed system, like cloud, is employing an efficient method for discovery of a service which is in harmony with users' needs that helps managing services and timing users' activities. In this paper, an algorithm is introduced for minimizing the number of service registry message in unstructured peer to peer network of cloud platform for execution of which, the genetic algorithm has been benefited of discover an efficient arrangement of service providers as well as exploiting the breadth first search to discover connective arrangements. The execution is done on different arrangements of service providers the results of which show that the mentioned minimizing algorithm has reached to the most efficient arrangement which leads the least service registry messages.
期刊介绍：
The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.
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