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End-to-End Service Level Agreement Specification for IoT Applications

Lookup NU author(s): Awa Alqahtani, Yinhao Li, Dr Ellis Solaiman, Professor Raj Ranjan

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2018.

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Abstract

The Internet of Things (IoT) promises to help solve a wide range of issues that relate to our wellbeing within application domains that include smart cities, healthcare monitoring, and environmental monitoring. IoT is bringing new wireless sensor use cases by taking advantage of the computing power and flexibility provided by Edge and Cloud Computing. However, the software and hardware resources used within such applications must perform correctly and optimally. Especially in applications where a failure of resources can be critical. Service Level Agreements (SLA) where the performance requirements of such applications are defined, need to be specified in a standard way that reflects the end-to-end nature of IoT application domains, accounting for the Quality of Service (QoS) metrics within every layer including the Edge, Network Gateways, and Cloud. In this paper, we propose a conceptual model that captures the key entities of an SLA and their relationships, as a prior step for end-to-end SLA specification and composition. Service level objective (SLO) terms are also considered to express the QoS constraints. Moreover, we propose a new SLA grammar which considers workflow activities and the multi-layered nature of IoT applications. Accordingly, we develop a tool for SLA specification and composition that can be used as a template to generate SLAs in a machine-readable format. We demonstrate the effectiveness of the proposed specification language through a literature survey that includes an SLA language comparison analysis, and via reflecting the user satisfaction results of a usability study.


Publication metadata

Author(s): Alqahtani A, Li Y, Patel P, Solaiman E, Ranjan R

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2018 International Conference on High Performance Computing & Simulation (HPCS)

Year of Conference: 2018

Pages: 926-935

Online publication date: 01/11/2018

Acceptance date: 03/05/2018

Date deposited: 21/10/2018

Publisher: IEEE

URL: https://doi.org/10.1109/HPCS.2018.00147

DOI: 10.1109/HPCS.2018.00147

Library holdings: Search Newcastle University Library for this item

ISBN: 9781538678794


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