R. Gangeshwari, J. Subbiah, K. Malathy, D. H. Miriam
{"title":"HPCLOUD:一种新的分层MapReduce容错架构模型","authors":"R. Gangeshwari, J. Subbiah, K. Malathy, D. H. Miriam","doi":"10.1109/ICRTIT.2012.6206822","DOIUrl":null,"url":null,"abstract":"MapReduce algorithm is a scheduling algorithm that can be used to process large amounts of data efficiently. Process scheduling is an application that uses the mapreduce technique. Hyper Cubic Peer-to-Peer Cloud (HPCLOUD) is a structured peer to peer framework implemented on a cloud environment on which mapreduce technique can be applied for process scheduling. In addition, fault tolerance and load balancing can be achieved on the HPCLOUD architecture. The performance evaluation shows that system proposed to demonstrate improved performance in terms of response time with respect to increase in number of files.","PeriodicalId":191151,"journal":{"name":"2012 International Conference on Recent Trends in Information Technology","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"HPCLOUD: A novel fault tolerant architectural model for hierarchical MapReduce\",\"authors\":\"R. Gangeshwari, J. Subbiah, K. Malathy, D. H. Miriam\",\"doi\":\"10.1109/ICRTIT.2012.6206822\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"MapReduce algorithm is a scheduling algorithm that can be used to process large amounts of data efficiently. Process scheduling is an application that uses the mapreduce technique. Hyper Cubic Peer-to-Peer Cloud (HPCLOUD) is a structured peer to peer framework implemented on a cloud environment on which mapreduce technique can be applied for process scheduling. In addition, fault tolerance and load balancing can be achieved on the HPCLOUD architecture. The performance evaluation shows that system proposed to demonstrate improved performance in terms of response time with respect to increase in number of files.\",\"PeriodicalId\":191151,\"journal\":{\"name\":\"2012 International Conference on Recent Trends in Information Technology\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Recent Trends in Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRTIT.2012.6206822\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Recent Trends in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2012.6206822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
HPCLOUD: A novel fault tolerant architectural model for hierarchical MapReduce
MapReduce algorithm is a scheduling algorithm that can be used to process large amounts of data efficiently. Process scheduling is an application that uses the mapreduce technique. Hyper Cubic Peer-to-Peer Cloud (HPCLOUD) is a structured peer to peer framework implemented on a cloud environment on which mapreduce technique can be applied for process scheduling. In addition, fault tolerance and load balancing can be achieved on the HPCLOUD architecture. The performance evaluation shows that system proposed to demonstrate improved performance in terms of response time with respect to increase in number of files.