A Partition Based Bloom Filter For Fastest Data Search

被引:0
|
作者
Pandeeswari, P. [1 ]
Murugeswari, S. [1 ]
机构
[1] Syed Ammal Engn Coll, Dept ECE, Ramanathapuram, India
关键词
BloomFilter(BFs); ErrorCorrection Soft Errors; Interleaving Memory;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Bloom filters (BFs) provide a simple and effective way to check whether an element belongs to a set. BFs are implemented using electronic circuits. The contents of a BF are commonly stored in a high speed memory and required processing is done in a processor or in dedicated circuitry. The Memory interleaving is a cost-competent approach to the increase bandwidth. That is improving data access locality and reducing memory access conflicts are two important aspects to achieve high efficiency for interleaved memory. In this project memory interleaving technique based on LSB bit applied to BIRA technique to reduce memory access complexities. The Xilinx experimental results show that the proposed technique requires a smaller area overhead than that of the previous state-of-the-art BIRA with an optimal searching rate. In this brief, we are proposed the interleaving technique method with BF so the errors and datas are find out quickly. Then the errors are partitioning the content of the memory.
引用
下载
收藏
页码:294 / 297
页数:4
相关论文
共 50 条
  • [41] Verification of Boolean Queries over Outsourced Encrypted Data Based on Counting Bloom Filter
    Zhu, Xiaoyan
    Hao, Ripei
    Jiang, Shunrong
    Chi, Haotian
    Li, Hongning
    2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [42] Bloom-filter-based request node collaboration caching for named data networking
    Rui Hou
    Lang Zhang
    Tingting Wu
    Tengyue Mao
    Jiangtao Luo
    Cluster Computing, 2019, 22 : 6681 - 6692
  • [43] Bloom Filter Approach for Autonomous Data Acquisition in the Edge-Based MCS Scenario
    Antonic, Martina
    Antonic, Aleksandar
    Zarko, Ivana Podnar
    SENSORS, 2022, 22 (03)
  • [44] Bloom-filter-based request node collaboration caching for named data networking
    Hou, Rui
    Zhang, Lang
    Wu, Tingting
    Mao, Tengyue
    Luo, Jiangtao
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 3): : S6681 - S6692
  • [46] Multi-Iris Indexing and Retrieval: Fusion Strategies for Bloom Filter-based Search Structures
    Drozdowski, P.
    Rathgeb, C.
    Busch, C.
    2017 IEEE INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS (IJCB), 2017, : 46 - 53
  • [47] Binary Search on Trie Levels with a Bloom Filter for Longest Prefix Match
    Lee, Jungwon
    Lim, Hyesook
    2014 IEEE 15TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE SWITCHING AND ROUTING (HPSR), 2014, : 38 - 43
  • [48] Comparison on Search Failure between Hash Tables and a Functional Bloom Filter
    Byun, Hayoung
    Lim, Hyesook
    APPLIED SCIENCES-BASEL, 2020, 10 (15):
  • [49] A Bloom Filter-Based User Search Method Based on Movement Records for P2P Network
    Shiraki, Tom
    Teranishi, Yuichi
    Takeuchi, Susumu
    Harumoto, Kaname
    Nishio, Shojiro
    2009 9TH ANNUAL INTERNATIONAL SYMPOSIUM ON APPLICATIONS AND THE INTERNET, 2009, : 177 - +
  • [50] A Bloom Filter Based Model for Decentralized Authorization
    Foley, Simon N.
    Navarro-Arribas, Guillermo
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2013, 28 (06) : 565 - 582