{"title":"countBF: A General-purpose High Accuracy and Space Efficient Counting Bloom Filter","authors":"Sabuzima Nayak, Ripon Patgiri","doi":"10.23919/CNSM52442.2021.9615556","DOIUrl":"https://doi.org/10.23919/CNSM52442.2021.9615556","url":null,"abstract":"Bloom Filter is a probabilistic data structure for the membership query, and it has been intensely experimented in various fields to reduce memory consumption and enhance a system's performance. Bloom Filter is classified into two key categories: counting Bloom Filter (CBF), and non-counting Bloom Filter. CBF has a higher false positive probability than standard Bloom Filter (SBF), i.e., CBF uses a higher memory footprint than SBF. But CBF can address the issue of the false negative probability. Notably, SBF is also false negative free, but it cannot support delete operations like CBF. To address these issues, we present a novel counting Bloom Filter based on SBF and 2D Bloom Filter, called countBF. countBF uses a modified murmur hash function to enhance its various requirements, which is experimentally evaluated. Our experimental results show that countBF uses 1.96× and 7.85× less memory than SBF and CBF respectively, while preserving lower false positive probability and execution time than both SBF and CBF. The overall accuracy of countBF is 99.999921, and it proves the superiority of countBF over SBF and CBF. Also, we compare with other state-of-the-art counting Bloom Filters.","PeriodicalId":358223,"journal":{"name":"2021 17th International Conference on Network and Service Management (CNSM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122640497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Message Chairs","authors":"T. Hayashida, T. Hasuike","doi":"10.1109/IWCIA.2015.7449445","DOIUrl":"https://doi.org/10.1109/IWCIA.2015.7449445","url":null,"abstract":"The previous year presented us with unprecedented challenges that compelled us to confront turmoil and turbulence in our daily lives. While there are many reasons to feel optimistic about the new year, we are reminded that many of the challenges of 2020 still persist. Consistent with what numerous public health experts had foreseen, we continue to grapple with the significant surges in COVID-19 cases, and, unfortunately, deaths, across the country including, most pronouncedly, in our very own Los Angeles County. It is therefore of vital importance that all of us follow the public health guidelines being issued by state and local officials and the UCLA administration on a daily basis. While the development and delivery of COVID-19 vaccines are being cheered across the world, please continue to practice the recommended safety measures. We must be responsible out of consideration for our own health and that of our fellow citizens.","PeriodicalId":358223,"journal":{"name":"2021 17th International Conference on Network and Service Management (CNSM)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114816233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}