Release Time:2019-03-09  Hits:

Indexed by: Journal Papers

Date of Publication: 2015-07-01

Journal: IEEE TRANSACTIONS ON COMPUTERS

Included Journals: Scopus、EI、SCIE

Volume: 64

Issue: 7

Page Number: 1857-1869

ISSN: 0018-9340

Key Words: Load balancing; publish/subscribe; community; event dissemination; fault-tolerance

Abstract: 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.