Analysis of Internet of Thing in Smart Manufacturing Industry

The IoT (Internet of Thing) envisage is the unified interlinking to the fake space and the physical planet. This offers an encouraging chance to build influential facilities and services provided by the applications for industrial production. This article offers an overview of major research problems that need to be adopted and the latest developments in that field of IoT-aided industrial production. Initially, the core technologies of IoT like Big information, Cloud computer, Wireless antenna Network, and Radio Incidence Identification has been described. Then certain key research problems of IoT-aided industrial production has been described in accordance with architecture, implementation and enterprise model, data collection and handling, reduction of latency with state-of-theart reviews, user-centric pervasive environment, dynamic service composition, and model-based decision-making. At last, some possible application fields of IoT in the industrial sector have been described.

Multi-Strategy Dynamic Service Composition in Opportunistic Networks

Distributed computing pervasiveness is nowadays undeniable, and will continue to grow as the usage of device-to-device communications and the number of connected things populating our daily environment increase. Due to the connectivity disruptions induced by the mobility of devices communicating through short-range wireless interfaces and by the sleep phases of devices, it is often difficult to exploit the resources offered by the connected things forming these pervasive environments through the services they provide, and even harder to compose these services together so as to provide users with more useful and sophisticated services. This paper presents a service composition system adapted to opportunistic networks. This composition system relies on a service provision platform that exploits opportunistic networking and computing techniques to cope with connectivity disruptions. Service composition is performed dynamically, according to users’ interests. A multi-strategy scheme is used for the invocation of composite services, and a recovery mechanism is possible through partial invocation. This paper also presents the evaluation of the proposed composition system on two different scenarios: one involving people roaming in an open area, and another one involving spectators of a running event.

A Rule-Based Language and Verification Framework of Dynamic Service Composition

The emergence of BPML (Business Process Modeling Language) has favored the development of languages for the composition of services. Process-oriented approaches produce imperative languages, which are rigid to change at run-time because they focus on how the processes should be built. Despite the fact that semantics is introduced in languages to increase their flexibility, dynamism is limited to find services that have disappeared or become defective. They do not offer the possibility to adapt the composite service to execution. Although rules-based languages were introduced, they remain very much dependent on the BPML which is the underlying technology. This article proposes the specification of a rule-based declarative language for the composition of services. It consists of the syntactic categories which make up the concepts of the language and a formal description of the operational semantics that highlights the dynamism, the flexibility and the adaptability of the language thus defined. This paper also presents a verification framework made of a formal aspect and a toolset. The verification framework translates service specifications into Promela for model checking. Then, a validation framework is proposed that translates the verified specifications to the operational system. Finally, a case study is presented.

Dynamic service composition in enterprise cloud bus architecture

Purpose Service composition phenomenon based on non-scenario aspects are become the latest issues in enterprise software applications of the multi-cloud environment due to the phenomenal increase in a number of Web services. The traditional service composition patterns are hard to support the dynamic, flexible and autonomous service composition in the inter-cloud platform. To address this problem, this paper aims to describe a dynamic service composition framework (SCF) that is enriched with various structural and functional aspects of composition patterns in a cloud computing environment. The proposed methodology helps to integrate various heterogeneous cloud services dynamically to acquire an optimal and novel enterprise solution for delivering the service to the end-users automatically. Design/methodology/approach SCF and different composition patterns have been used to compose the services present in the inter-cloud architecture of the multi-agent-based system. Further, the proposed dynamic service composition algorithm is illustrated using a hybrid approach, where service are chosen according to various needs of quality of service parameters. Besides, a priority-based service scheduling algorithm is proposed that facilitates the automation of delivering cloud service optimally. Findings The proposed framework is capable of composing the heterogeneous service and facilitate the structural and functional aspects of service composition process in enterprise cloud-based applications in terms of flexibility, scalability, integrity and dynamicity of the cloud bus. The advantage of the proposed algorithm is that it helps to minimize the execution cost, processing time and get better success rate in delivering the service as per customer’s need. Originality/value The novelty of the proposed architecture coordinates cloud participants, automate service discovery pattern, reconfigure scheduled services and focus on aggregating a composite services in inter-cloud environments. Besides, the proposed framework supported several non-functional characteristics such as robustness, flexibility, dynamicity, scalability and reliability of the system.