An Approach to Resource and QoS-Aware Services Optimal Composition in the Big Service and Internet of Things

Min, Xunyou; Xu, Xiaofei; Liu, Zhizhong; Chu, Dianhui; Wang, Zhongjie

doi:10.1109/access.2018.2855807

Cited by 16 publications

(7 citation statements)

References 48 publications

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“…In our research, we proposed an approach for achieving this aim in term of service composition problem. According to the existence of the services with the same functionalities, as the various parts of the treatment process, proposing a CMHS is a challenging issue regarding the patients' nonfunctional preferences . In our research, we applied a linear method for finding the most proper composite service.…”

Section: Resultsmentioning

confidence: 99%

A medical monitoring scheme and health‐medical service composition model in cloud‐based IoT platform

Asghari

Rahmani

Javadi

2019

Trans Emerging Tel Tech

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Advanced technologies such as internet of things (IoT) and clouds have significantly influenced on modern medical monitoring systems. Analytical statistics derived from massive patients' medical data via different data analysis methods, contribute in remote medical monitoring, early diagnosis of diseases, predicting clinical events, and recommending vital health/medical instructions. According to existence of the same health/medical services in functional aspect, finding appropriate composite health/medical services by the patients has been remained as a major concern in modern medical systems. Regarding this challenge, in this paper, a medical monitoring scheme for cloud‐based IoT platform is proposed, in which the patients' medical conditions are derived through predicting diseases by mining her physiological data collected from IoT devices and other medical records. A disease diagnosis model is used to analyze the patients' medical data for the aim of offering a composite health/medical prescription. After confirming the outcomes by medical team, it is sent to the patient. Then, the patient indicates her nonfunctional requirements such as location, cost and time to find the most appropriate composite health/medical service based on her preferences. Experimental results reveal that the proposed scheme is successful in achieving effective diseases diagnosis for offering composite health/medical prescriptions.

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Section: Resultsmentioning

confidence: 99%

A medical monitoring scheme and health‐medical service composition model in cloud‐based IoT platform

Asghari

Rahmani

Javadi

2019

Trans Emerging Tel Tech

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“…Min et al [1] implemented the artificial bee colony algorithm for resource and QoS-aware service composition. The authors improved the solution by introducing an operator for resource checking, to ensure that the component services had sufficient resources to execute the task successfully.…”

Section: A Service Compositionmentioning

confidence: 99%

Service Management for IoT: Requirements, Taxonomy, Recent Advances and Open Research Challenges

et al. 2019

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The exponential growth in the number of smart devices connected to the Internet of Things (IoT), and associated with various IoT-based smart applications and services, raises interoperability challenges which could affect the sustainability of IoT services. IoT software applications are built using different software platforms and embedded in diverse types of terminals and sensing devices. Aiming to offer smart services over a range of network technologies that use different communication protocols. The concept of Web service with service-oriented solutions was introduced to cope with the heterogeneity of hardware and software, and to tackle issues of interoperability, flexibility and scalability. The main step of this solution was the integration of Web of Things technologies into smart device networks, with the utilization of IoT gateways. Service management is a crucial factor in sustaining service-oriented solutions in dynamic and highly scalable IoT systems, and is concerned with several issues associated with service provisioning, orchestration, composition and adaption. This work was motivated by the need for robust and flexible service management systems that can meet the requirements for the rapid scalability and heterogeneity associated with the exponential growth of IoT systems. In the literature there is no survey of service management issues and associated research efforts in the field of IoT. In this article, we identify the key requirements for managing IoT services as well as common service management platforms for IoT. We provide a thematic taxonomy based on the important factors, and investigate recent advances in service management for IoT systems. Finally, the major challenges that remain open are presented as a guide for future research directions.

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“…The method of online fault tolerance can be viewed as the dynamic replacement of service composition. Many scholars and experts have made efforts in finding optimal service compositions by meta-heuristic algorithms, such as genetic algorithms (GA) [24]- [26], artificial bee colony algorithms (ABC) [27], [28] and particle swarm optimization (PSO) [29]. These studies only consider the characteristics of the services, but do not take into account the relationship between services when building the online fault-tolerance service composition model.…”

Section: Related Workmentioning

confidence: 99%

A Two-Stage Fault Tolerance Method for Large-Scale Manufacturing Network

Peng

Wang

et al. 2019

IEEE Access

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Nowadays, networked manufacturing paradigm, such as cloud manufacturing, has brought new challenges for fault tolerance methods. Failures and errors of manufacturing services are unavoidable in the large-scale network. Appropriate fault tolerance methods need to be adopted to improve the reliability of the whole manufacturing network. Aiming at solving this problem, a two-stage fault tolerance method is, thus, proposed. In the off-line stage, a LeaderRank-based manufacturing nodes ranking (LNR) algorithm is put forward to rank the manufacturing services according to their significance in fault tolerance. Replication strategies are employed only for critical services to achieve the tradeoff between fault tolerance effect and fault tolerance loss. In the online stage, an A*-based heuristic alternative path searching (AHPS) algorithm is proposed to find suitable replacement schemes for composite services. The experimental results illustrate that the two-stage fault tolerance method can improve the reliability of large-scale manufacturing networks both effectively and efficiently.

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An Approach to Resource and QoS-Aware Services Optimal Composition in the Big Service and Internet of Things

Cited by 16 publications

References 48 publications

A medical monitoring scheme and health‐medical service composition model in cloud‐based IoT platform

A medical monitoring scheme and health‐medical service composition model in cloud‐based IoT platform

Service Management for IoT: Requirements, Taxonomy, Recent Advances and Open Research Challenges

A Two-Stage Fault Tolerance Method for Large-Scale Manufacturing Network

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