Blockchain-enabled Real-time SLA Monitoring for Cloud-hosted Services

Khan, Kashif Mehboob and Arshad, Junaid and Iqbal, Waheed and Abdullah, Sidrah and Zaib, Hassan (2021) Blockchain-enabled Real-time SLA Monitoring for Cloud-hosted Services. Cluster Computing. ISSN 1386-7857 (In Press)

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Abstract

Cloud computing is an important technology for businesses and individual users to obtain computing resources over the Internet on-demand and exibly. Although cloud computing has been adopted across diverse applications, the owners of time-and-performance critical applications require cloud service providers' guarantees about their services, such as availability and response times. Service Level Agreements (SLAs) are a mechanism to communicate and enforce such guarantees typically represented as service level objectives (SLOs), and financial penalties are imposed on SLO violations. Due to delays and inaccuracies caused by manual processing, an automatic method to periodically verify SLA terms in a transparent and trustworthy manner is fundamental to effective SLA monitoring, leading to the acceptance and credibility of such service to the customers of cloud services. This paper presents a blockchain-based distributed infrastructure that leverages fundamental blockchain properties to achieve immutable and trustworthy SLA monitoring within cloud services. The paper carries out an in-depth empirical investigation for the scalability of the proposed system in order to address the challenge of transparently enforcing real-time monitoring of cloud-hosted services leveraging blockchain technology. This will enable all the stakeholders to enforce accurate execution of SLA without any imprecisions and delays by maintaining an immutable ledger publicly across blockchain network. The experimentation takes into consideration several attributes of blockchain which are critical in achieving optimum performance. The paper also investigates key characteristics of these factors and their impact to the behaviour of the system for further scaling it up under various cases for increased service utilization.

Item Type: Article
Date: 5 September 2021
Subjects: CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
REF UoA Output Collections > REF2021 UoA11: Computer Science and Informatics
Depositing User: Junaid Arshad
Date Deposited: 10 Sep 2021 08:40
Last Modified: 10 Sep 2021 08:40
URI: http://www.open-access.bcu.ac.uk/id/eprint/12160

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