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  • 1.
    Alzubaidi, Ali
    et al.
    Newcastle University.Umm-Al-Qura University.
    Solaiman, Ellis
    Newcastle University.
    Patel, Pankesh
    Fraunhofer USA-Center for Experimental Software Engineering.
    Mitra, Karan
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Blockchain-Based SLA Management in the Context of IoT2019In: IT Professional Magazine, ISSN 1520-9202, E-ISSN 1941-045X, Vol. 21, no 4, p. 33-40Article in journal (Refereed)
    Abstract [en]

    In pursuit of effective service level agreement (SLA) monitoring and enforcement in the context of Internet of Things (IoT) applications, this article regards SLA management as a distrusted process that should not be handled by a single authority. Here, we aim to justify our view on the matter and propose a conceptual blockchain-based framework to cope with some limitations associated with traditional SLA management approaches.

  • 2.
    Solaiman, Ellis
    et al.
    Newcastle University, UK.
    Ranjan, Rajiv
    Newcastle University, UK.
    Jayaraman, Prem Prakash
    Swinburne University of Technology, Australia.
    Mitra, Karan
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Failure Monitoring in the Internet of Things Application Ecosystems2016In: IT Professional Magazine, ISSN 1520-9202, E-ISSN 1941-045X, Vol. 18, no 5, p. 8-11, article id 7579107Article in journal (Refereed)
    Abstract [en]

    For Internet of Things (IoT) application ecosystems to excel, end-to-end components including the cloud, network, and edge devices must be highly dependable and resilient. This dependability must be verifiable by continuously monitoring the constituent components for conformance to defined behavior in terms of functional and nonfunctional requirements. However, the authors contend that current techniques and frameworks for monitoring the performance of hardware and application resources in distributed systems are not capable of monitoring and detecting root causes of failure and performance degradation for entire end-to-end IoT ecosystems. Motivated by this finding, they discuss their vision of future research into developing formal approaches for monitoring end-to-end IoT ecosystems.

  • 3.
    Wallin, Stefan
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Leijon, Viktor
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
    Rethinking network management solutions2006In: IT Professional Magazine, ISSN 1520-9202, E-ISSN 1941-045X, Vol. 8, no 6, p. 19-23Article in journal (Refereed)
    Abstract [en]

    Telecommunication network management solutions need to shift perspective from one of network element management to service management. Operators need a service view of their network, with automatic service-impact correlation. This requires some major changes in the underlying solutions: equipment vendors must improve the supplied management interfaces and network management solutions must implement a higher degree of automation and correlation with a service focus. One obstacle is the lack of models and formalism to describe topology and service structures

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