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  4. End-to-End Service Level Agreement Specification for IoT Applications
 
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2018
Conference Paper
Title

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

Abstract
The Internet of Things (IoT) promises to help solve a wide range of issues that relate to our wellbeing within applica¬tion 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.
Author(s)
Alqahtani, A.
Li, Y.
Patel, P.
Solaiman, E.
Ranjan, R.
Mainwork
International Conference on High Performance Computing & Simulation, HPCS 2018. Proceedings  
Conference
International Conference on High Performance Computing & Simulation (HPCS) 2018  
Open Access
DOI
10.1109/HPCS.2018.00147
Additional link
Full text
Language
English
CESE  
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