Adaptive Service-Oriented Architectures for Cyber Physical Systems

Mohalik, Swarup Kumar; Narendra, Nanjangud C.; Badrinath, Ramamurthy; Le, Duc-Hung

doi:10.1109/sose.2017.10

Cited by 10 publications

(7 citation statements)

References 11 publications

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“…Other works providing service oriented architectures (SOAs) focused on adaptation but neglected user-based personalization. E.g., Feljan et al [8] defined a SOA for planning and execution (SOA-PE) in Cyber Physical Systems (CPS), and Mohalik et al [22] proposed a MAPE-K autonomic computing framework to manage adaptivity in service-based CPS. Morais et al [23] present RAH, a RA for IoT-based e-Health apps.…”

Section: Related Workmentioning

confidence: 99%

A Reference Architecture for Personalized and Self-adaptive e-Health Apps

Grua

Sanctis

Lago

2020

Communications in Computer and Information Science

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Section: Related Workmentioning

confidence: 99%

A Reference Architecture for Personalized and Self-adaptive e-Health Apps

Grua

Sanctis

Lago

2020

Communications in Computer and Information Science

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“…The trade-off of the majority of service mashups approaches in the literature is that applications rely on static mashups that cannot deal with open environments. Service-oriented architectures for planning, execution and adaptation of cyber-physical systems (CPS) have been proposed in [23,24]. The approach proposed in [23] is based on a clean separation between domain modeling, planning, execution, monitoring and actuation services enabling the realization of large scale CPSs.…”

Section: Related Workmentioning

confidence: 99%

“…The approach proposed in [23] is based on a clean separation between domain modeling, planning, execution, monitoring and actuation services enabling the realization of large scale CPSs. In [24], the authors propose a MAPE-K autonomic computing framework to manage adaptivity in service-based CPSs.…”

Section: Related Workmentioning

confidence: 99%

Enacting Emergent Configurations in the IoT Through Domain Objects

Alkhabbas

Sanctis

Spalazzese

et al. 2018

Lecture Notes in Computer Science

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The Internet of Things (IoT) pervades more and more aspects of our lives and often involves many types of smart connected objects and devices. User's IoT environment changes dynamically, e.g., due to the mobility of the user and devices. Users can fully benefit from the IoT only when they can effortlessly interact with it. To accomplish this in a dynamic and heterogenous environment, we make use of Emergent Configurations (ECs), which consist of a set of things that connect and cooperate temporarily through their functionalities, applications, and services, to achieve a user goal. In this paper, we: (i) present the IoT-FED architectural approach to enable the automated formation and enactment of ECs. IoT-FED exploits heterogeneous and independently developed things, IoT services, and applications which are modeled as Domain Objects (DOs), a servicebased formalism. Additionaly, we (ii) discuss the prototype we developed and the experiments run in our IoT lab, for validation purposes.

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“…Examples of cloud service adaptation are described in [48,80]. As surveyed in [52] In earlier work [6,43,44] we proposed the notion of an autonomic middleware for IoT-based systems. The key aspect of this middleware is the use of MAPE-K concepts to facilitate context-aware adaptation of IoT service compositions.…”

Section: Resource Management and Adaptationmentioning

confidence: 99%

“…However, current adaptation techniques and implementations are only for specific systems. We recommend to exploit end-to-end context-aware adaptation [43,44] based on issues triggered from the IoT side as the ensembles are mainly for addressing problems from the IoT side with also resources in the edge and cloud. Considering a huge number of uncertainty across layers and systems as well as the vast knowledge that one needs to master to work with ensembles, we recommend to develop uncertainty measure for ensembles.…”

Section: Recommendationsmentioning

confidence: 99%

Notes on ensembles of IoT, network functions and clouds for service-oriented computing and applications

Truong

Narendra²,

Lin

2018

SOCA

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Many advances have been introduced recently for service-oriented computing and applications (SOCA). The Internet of Things (IoT) has been pervasive in various application domains. Fog/Edge computing models have shown techniques that move computational and analytics capabilities from centralized data centers where most enterprise business services have been located to the edge where most customer's Things and their data and actions reside. Network functions between the edge and the cloud can be dynamically provisioned and managed through service APIs. Microservice architectures are increasingly used to simplify engineering, deployment and management of distributed services in not only cloud-based powerful machines but also in light-weighted devices. Therefore, a key question for the research in SOCA is how do we leverage existing techniques and develop new ones for coping with and supporting the changes of data and computation resources as well as customer interactions arising in the era of IoT and Fog/Edge computing. In this editorial paper, we attempt to address this question by focusing on the concept of ensembles for IoT, network functions and clouds.

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Adaptive Service-Oriented Architectures for Cyber Physical Systems

Cited by 10 publications

References 11 publications

A Reference Architecture for Personalized and Self-adaptive e-Health Apps

A Reference Architecture for Personalized and Self-adaptive e-Health Apps

Enacting Emergent Configurations in the IoT Through Domain Objects

Notes on ensembles of IoT, network functions and clouds for service-oriented computing and applications

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