Highly Customizable Service Composition and Orchestration

Sabatucci, Luca; Lodato, Carmelo; Lopes, Salvatore; Cossentino, Massimo

doi:10.1007/978-3-319-24072-5_11

Cited by 14 publications

(3 citation statements)

References 17 publications

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“…A correctness score has been given to each participant code. This has been calculated by assigning one point to each correct API and one point to the milestone code statement then the total was divided by the maximum ✔ x x Network level x Mokhtarpour et al [20] x x x N/A x Holonic system [16,18,24] ✔ x ✔ HTTP x HTTP-CoAP Proxy [6,7] x x x CoAP, REST ✔ Derhamy et al [10] x x x CoAP, HTTP, MQTT x XWARE [23] x x x N/A ✔ SemIoTic [31] x x ✔ CoAP, MQTT ✔ Hetero-Genius [this] ✔ ✔ ✔ CoAP, HTTP, MQTT ✔ number of points resulting is a score out of 100%. The correctness results obtained from applying both the classical approach and the Hetero-Genius approach are shown in Figure 9.…”

Section: Correctness Resultsmentioning

confidence: 99%

“…Some works have chosen to do this at design time through analyzing qualitative mission objectives of systems (e.g., [20]), but these are hard to express in a programmatic way that enables automated reasoning at runtime. Other works have also defined the notion of a holonic system [16,18,24], but are focused on goal-driven service composition without means of allowing holons to reason and self-compose. IoT interoperability.…”

Section: Related Workmentioning

confidence: 99%

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A Middleware for Automatic Composition and Mediation in IoT Systems

Elhabbash

Elkhatib

Bouloukakis

et al. 2022

Proceedings of the 12th International Conference on the Internet of Things

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This paper presents Hetero-Genius, a middleware architecture that enables construction and mediation in Internet of Things (IoT) systems. IoT systems are deployed across physical spaces such as urban parks, residential areas, and highways. The services provided by such IoT deployments are constrained to specific devices and deployment contexts. While existing interoperability solutions enable the "design time" development and deployment of IoT systems, it is often essential to dynamically compose systems that consist of other "small scale" IoT systems. To achieve this, post-deployment composition is needed, i.e., runtime composition of diverse IoT devices and capabilities. Hetero-Genius supports system and service discoverability, as well as automatic composability. We demonstrate this using a real-world Internet of Vehicles (IoV) scenario. Our experimental evaluation shows that developers can save up to 47% of their time when using Hetero-Genius, as well as improve code correctness by 55% on average. CCS CONCEPTS• Networks → Cloud computing; In-network processing; • Computer systems organization → Self-organizing autonomic computing.

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Section: Correctness Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Middleware for Automatic Composition and Mediation in IoT Systems

Elhabbash

Elkhatib

Bouloukakis

et al. 2022

Proceedings of the 12th International Conference on the Internet of Things

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“…The closest work to ours also defines the notion of a holon [19,31], but is focused on goal-driven service composition without means of allowing holons to reason and self-compose.…”

Section: Problem Space and Related Workmentioning

confidence: 99%

An ontological architecture for principled and automated system of systems composition

Elhabbash

Nundloll

Elkhatib

et al. 2020

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

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A distributed system's functionality must continuously evolve, especially when environmental context changes. Such required evolution imposes unbearable complexity on system development. An alternative is to make systems able to self-adapt by opportunistically composing at runtime to generate systems of systems (SoSs) that offer value-added functionality. The success of such an approach calls for abstracting the heterogeneity of systems and enabling the programmatic construction of SoSs with minimal developer intervention. We propose a general ontology-based approach to describe distributed systems, seeking to achieve abstraction and enable runtime reasoning between systems. We also propose an architecture for systems that utilize such ontologies to enable systems to discover and 'understand' each other, and potentially compose, all at runtime. We detail features of the ontology and the architecture through two contrasting case studies. We also quantitatively evaluate the scalability and validity of our approach through experiments and simulations. Our approach enables system developers to focus on high-level SoS composition without being tied down with the specific deployment-specific implementation details. CCS CONCEPTS• Computer systems organization → Architectures; • Computer systems organization Self-organizing autonomic computing;

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