A Petri Net-Based Approach to Service Composition and Monitoring in the IOT

Yang, Rong; Li, Bing; Cheng, Can

doi:10.1109/apscc.2014.11

Cited by 13 publications

(3 citation statements)

References 12 publications

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“…In order to improve the accuracy and efficiency of service discovery, Sha et al 15 proposed a Petri net‐based user‐demand oriented web service discovery approach, but it may not be able to handle a large number of web services. Yang et al 16 proposed a Petri net approach for service composition and monitoring services, but it requires a large amount of computational resources. Zhang et al 17 proposed a novel approach named Q2C (query of quality correlation) to systematically model quality correlations, thereby utilizing efficient queries of quality correlations for service discovery.…”

Section: Related Workmentioning

confidence: 99%

An adaptive key selection method for the multilevel index model for effective service management in the cloud

Anjum

et al. 2023

Concurrency and Computation

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SUMMARYThe growing number of services processed and stored in the cloud has led to difficulties in managing and discovering the required services efficiently. Multilevel index model is an efficient method to manage and retrieve services in service repositories. When adding a new service to a multilevel index model, a key needs to be selected for the service, but existing key selection methods cannot adapt to the situation that hot services change over time. To address this problem, this article proposes an adaptive key selection method to improve the efficiency of service retrieval. However, the service addition operation of the adaptive key selection method is inefficient in the multilevel index model. For this reason, this article improves the multilevel index model by introducing local equivalence partition. This indexing model improves the service addition efficiency of the adaptive key selection method without affecting the service retrieval efficiency. It is experimentally demonstrated that the retrieval and addition efficiencies of the adaptive key selection method are close to the ideal state optimum under the multilevel index model with local equivalence partitioning.

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Section: Related Workmentioning

confidence: 99%

An adaptive key selection method for the multilevel index model for effective service management in the cloud

Anjum

et al. 2023

Concurrency and Computation

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“…Khan et al [13] proposed a blockchain-based distributed infrastructure to monitor, in realtime, the violations occurred in cloud-hosted services. Yang [24] proposed a PN model for service composition in IoT environments. The proposed model evaluates cost-effectiveness by considering reliability, response time, and cost.…”

Section: Related Workmentioning

confidence: 99%

Service request monitoring using Petri nets and model at runtime

Bouhamed

Kamel

D́ıaz

et al. 2022

Preprint

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The service computing paradigm has been widely adopted in various domains, such as in Web applications, Cloud computing and Internet of Things (IoT). Service providers offer services to their clients depending on their functional and non-functional requirements. Generally, the process of using a service consists of three steps discovery, selection, and invocation. This process is subject to many variables. For instance, no service with the required properties was found implying a requirement update, or just the invocation does not work. Therefore, the service monitoring is a necessary feature to be included by service providers. In this paper, we propose a model at-runtime approach to monitor this three-steps-process. We specify the proposed model using the Petri net formalism and the Flexible framework. Our approach allows service managers to monitor the three steps, change requirements when no service can satisfy the current requirements, and select other services when invocations fail. The monitoring system notifies service managers about the request state, the requirement changes required, and the invocation failures based on the Petri net marking. In addition, Python expressions can be used at runtime. Finally, a case study illustrates the approach by the implementation of a compression service.

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“…This is because semantics constitutes general theory that defines how to compose services conceptually rather than a concrete implementation (that can only be evaluated in specific scenarios). Significantly, fundamental semantics underlies so-called composition algorithms [8,89,90,91,92,93,94,95,96,97,98,99,100,101,102], programming frameworks [84,103,104,105,106,107,108], languages [109,110] and platforms [111,112,113,114,115,116,117], which have been somehow confusingly included in existing "IoT service composition" surveys [3,5,24,118,119].…”

Section: Related Workmentioning

confidence: 99%

Evaluating IoT service composition mechanisms for the scalability of IoT systems

Arellanes

Lau

2020

Future Generation Computer Systems

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The Internet of Things (IoT) is an emerging paradigm where practically every (physical and virtual) thing will be interconnected through innovative distributed services. Since the number of connected things is rapidly growing, IoT systems will require the composition of plenty of services into complex workflows. Thus, scalability in terms of the size of IoT systems becomes a significant concern. In this paper, we review and evaluate the fundamental semantics of existing IoT service composition mechanisms to determine how well they fulfil the scalability requirements of IoT systems. We identify scalability desiderata and, accordingly, our findings show that dataflows, orchestration and choreography do not fully satisfy such desiderata, unlike a novel composition mechanism called DX-MAN.

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A Petri Net-Based Approach to Service Composition and Monitoring in the IOT

Cited by 13 publications

References 12 publications

An adaptive key selection method for the multilevel index model for effective service management in the cloud

An adaptive key selection method for the multilevel index model for effective service management in the cloud

Service request monitoring using Petri nets and model at runtime

Evaluating IoT service composition mechanisms for the scalability of IoT systems

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