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发布时间：2019-03-09

论文类型：期刊论文

发表时间：2015-07-01

发表刊物：IEEE TRANSACTIONS ON COMPUTERS

收录刊物：Scopus、EI、SCIE

卷号：64

期号：7

页面范围：1857-1869

ISSN号：0018-9340

关键字：Load balancing; publish/subscribe; community; event dissemination; fault-tolerance

摘要：Distributed publish/subscribe systems are poised with challenges of performance degradation and poor scalability. This is typically caused by an uneven load distribution of real-world applications and the susceptibility of link failure in networks. Partitioning and replication techniques have been implemented by exploring community-based load balancing to cope with such issues. The novel approach herein exploits offloading at the inter-community level as well as filter replication at the intra-community level. This results in the dynamic distribution and forwarding of publication and subscription services among brokers during run time. The proposed method, Co-Lab (COmmunity-based LoAd Balancing), seeks to improve the network performance by clustering brokers in a community by taking into consideration interest similarity and filter replication. It attempts to effectively achieve a more consistent and uniform load distribution among brokers and to circumvent the occurrence of highly overloaded brokers. Performance evaluations indicate that Co-Lab has promising advantages by achieving relatively better load balance, reduced overall load and robustness against failures.