{"title":"Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE)","authors":"Sven Groppe, L. Gruenwald, Chinghao Hsu","doi":"10.1145/3555041.3590821","DOIUrl":null,"url":null,"abstract":"The Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE) is centered around addressing scalable data management issues in emerging computing environments such as (post) cloud and fog/edge/dew computing. These environments aim to incorporate efficient data management and processing into distributed systems to minimize communication and computational costs, while simultaneously enhancing application throughput, reducing latencies, and prolonging battery life for nodes. Despite over a decade of research in this area, there are still numerous challenges that remain unsolved due to technological advancements such as lightweight virtualization, greater node capabilities, and increased parallelization. This year we also welcome contributions on data management for or solved by quantum computing. The workshop provides a platform for active discussions in these and related topics.","PeriodicalId":161812,"journal":{"name":"Companion of the 2023 International Conference on Management of Data","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion of the 2023 International Conference on Management of Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3555041.3590821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Third International Workshop on Big Data in Emergent Distributed Environments (BiDEDE) is centered around addressing scalable data management issues in emerging computing environments such as (post) cloud and fog/edge/dew computing. These environments aim to incorporate efficient data management and processing into distributed systems to minimize communication and computational costs, while simultaneously enhancing application throughput, reducing latencies, and prolonging battery life for nodes. Despite over a decade of research in this area, there are still numerous challenges that remain unsolved due to technological advancements such as lightweight virtualization, greater node capabilities, and increased parallelization. This year we also welcome contributions on data management for or solved by quantum computing. The workshop provides a platform for active discussions in these and related topics.