{"title":"会议细节:PABS'16","authors":"Rekha Singhal, Dheeraj Chahal","doi":"10.1145/3257768","DOIUrl":null,"url":null,"abstract":"It is our great pleasure to welcome you to the 2016 ACM Workshop on Performance Analysis of Big Data Systems -- PABS'16 in conjunction with ICPE2016. The main objective of the workshop is to discuss the performance challenges imposed by big data systems and the different state-of-the-art solutions proposed to overcome these challenges. The workshop aims at providing a platform for scientific researchers, academicians and practitioners to discuss techniques, models, benchmarks, tools and experiences while dealing with performance issues in big data systems. The program committee reviewed 4 and accepted 2 full technical papers with acceptance rate as 50%. We welcome attendees to attend the keynote, invited talk, tutorial and paper presentations. These valuable and insightful talks can and will guide us to a better understanding of the future: Challenges in Truly Scaling Services, Manish Gupta (Director, Xerox Research Center, India) Performance Engineering for In-Memory Databases: Models, Experiments and Optimization, Giuliano Casale (Sr. Lecturer, Imperial College London.) Big Data Applications Performance Assurance, Boris Zibitsker ( CEO BEZNext, USA) Tutorial on Challenges for Big Data Application Performance Tuning and Prediction, Rekha Singhal (Sr. Scientist, TCS Innovation Labs).","PeriodicalId":265808,"journal":{"name":"Companion Publication for ACM/SPEC on International Conference on Performance Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Session details: PABS'16\",\"authors\":\"Rekha Singhal, Dheeraj Chahal\",\"doi\":\"10.1145/3257768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is our great pleasure to welcome you to the 2016 ACM Workshop on Performance Analysis of Big Data Systems -- PABS'16 in conjunction with ICPE2016. The main objective of the workshop is to discuss the performance challenges imposed by big data systems and the different state-of-the-art solutions proposed to overcome these challenges. The workshop aims at providing a platform for scientific researchers, academicians and practitioners to discuss techniques, models, benchmarks, tools and experiences while dealing with performance issues in big data systems. The program committee reviewed 4 and accepted 2 full technical papers with acceptance rate as 50%. We welcome attendees to attend the keynote, invited talk, tutorial and paper presentations. These valuable and insightful talks can and will guide us to a better understanding of the future: Challenges in Truly Scaling Services, Manish Gupta (Director, Xerox Research Center, India) Performance Engineering for In-Memory Databases: Models, Experiments and Optimization, Giuliano Casale (Sr. Lecturer, Imperial College London.) Big Data Applications Performance Assurance, Boris Zibitsker ( CEO BEZNext, USA) Tutorial on Challenges for Big Data Application Performance Tuning and Prediction, Rekha Singhal (Sr. Scientist, TCS Innovation Labs).\",\"PeriodicalId\":265808,\"journal\":{\"name\":\"Companion Publication for ACM/SPEC on International Conference on Performance Engineering\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Companion Publication for ACM/SPEC on International Conference on Performance Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3257768\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion Publication for ACM/SPEC on International Conference on Performance Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3257768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
It is our great pleasure to welcome you to the 2016 ACM Workshop on Performance Analysis of Big Data Systems -- PABS'16 in conjunction with ICPE2016. The main objective of the workshop is to discuss the performance challenges imposed by big data systems and the different state-of-the-art solutions proposed to overcome these challenges. The workshop aims at providing a platform for scientific researchers, academicians and practitioners to discuss techniques, models, benchmarks, tools and experiences while dealing with performance issues in big data systems. The program committee reviewed 4 and accepted 2 full technical papers with acceptance rate as 50%. We welcome attendees to attend the keynote, invited talk, tutorial and paper presentations. These valuable and insightful talks can and will guide us to a better understanding of the future: Challenges in Truly Scaling Services, Manish Gupta (Director, Xerox Research Center, India) Performance Engineering for In-Memory Databases: Models, Experiments and Optimization, Giuliano Casale (Sr. Lecturer, Imperial College London.) Big Data Applications Performance Assurance, Boris Zibitsker ( CEO BEZNext, USA) Tutorial on Challenges for Big Data Application Performance Tuning and Prediction, Rekha Singhal (Sr. Scientist, TCS Innovation Labs).