{"title":"一种新的高性能云数据并行方法","authors":"Bingxiang Gui, Hongcai Feng","doi":"10.1109/PACCS.2009.162","DOIUrl":null,"url":null,"abstract":"This paper presents a new high performance cloud framework that support simplified data parallel applications. and describes the design and implementation of it. This cloud implements stream processing paradigm over clusters of computers, either within single data center or across wide area. Unlike MapReduce, this Cloud’s stream processing paradigm is simpler, more straightforward, and reaches better performance in certain cases. The experimental results show this cloud is more straightforward, simpler to use, and it is about twice as fast as Hadoop.","PeriodicalId":320447,"journal":{"name":"Pacific-Asia Conference on Circuits, Communications and Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An New Data Parallelism Approach with High Performace Clouds\",\"authors\":\"Bingxiang Gui, Hongcai Feng\",\"doi\":\"10.1109/PACCS.2009.162\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new high performance cloud framework that support simplified data parallel applications. and describes the design and implementation of it. This cloud implements stream processing paradigm over clusters of computers, either within single data center or across wide area. Unlike MapReduce, this Cloud’s stream processing paradigm is simpler, more straightforward, and reaches better performance in certain cases. The experimental results show this cloud is more straightforward, simpler to use, and it is about twice as fast as Hadoop.\",\"PeriodicalId\":320447,\"journal\":{\"name\":\"Pacific-Asia Conference on Circuits, Communications and Systems\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pacific-Asia Conference on Circuits, Communications and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACCS.2009.162\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pacific-Asia Conference on Circuits, Communications and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACCS.2009.162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An New Data Parallelism Approach with High Performace Clouds
This paper presents a new high performance cloud framework that support simplified data parallel applications. and describes the design and implementation of it. This cloud implements stream processing paradigm over clusters of computers, either within single data center or across wide area. Unlike MapReduce, this Cloud’s stream processing paradigm is simpler, more straightforward, and reaches better performance in certain cases. The experimental results show this cloud is more straightforward, simpler to use, and it is about twice as fast as Hadoop.
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