Title: Resource discovery and scalability-aware routing in cloud federation using distributed meta-brokering paradigm
Authors: Sajid Latif; Mamoona Humayun; Abida Sharif; Seifedine Kadry
Addresses: University Institute of Information Technology, Arid University, Rawalpindi, Pakistan ' Department of Information Systems, College of Computer and Information Sciences, Jouf University, Saudi Arabia ' Department of Computer Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Pakistan ' Beirut Arab University – Beirut Campus, Tarik El Jadida, P.O. Box 11-50-20, Riad El Solh 11072809, Beirut, Lebanon
Abstract: Resource management in large-scale distributed systems is comprised of key factors e.g. scheduling, monitoring and discovery of potential resources. Due to highly dynamicity and heterogeneity, effective management of distributed resources is a challenging task. Resource discovery is a complex process to find the optimal resources for efficient allocation. Interconnected cloud is the emerging variant of large-scale distributed computing to cover the extensive footprint. In this study, meta-brokering driven distributed discovery approach is proposed for optimal applications execution. Queries get propagated with minimal routing cost in meta-brokering P2P instance overlay while maintaining the ontological information. Uniform configuration of instances enables the distributed brokerage and ontologies realise the interoperability. Moreover, distributed instances are resilient as contrary to centralised counterparts. This decoupled paradigm enables the discovery with fine-grained management through distinct modules while complementing the scalability factor.
Keywords: scalability; meta-brokering; monitoring; interconnection; discovery; local-brokering; instances; peers; overlay; membership.
International Journal of Web and Grid Services, 2022 Vol.18 No.1, pp.34 - 61
Received: 04 Aug 2020
Accepted: 26 Feb 2021
Published online: 30 Nov 2021 *