Adaptive and Dynamic Service Composition for Cloud-Based Mobile Application

Ramasamy, R Kanesaraj; Chua, Fang-Fang; Haw, Su-Cheng

doi:10.1007/978-3-319-07674-4_90

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…WS clustering consists of extracting characteristics of WS from the repository and discovering the similarities between the clusters or groups. Once the services have been clustered, the fitness value [22,23] for each service was calculated using Equation ( 1) and classified as having a high or low fitness value by comparing each service with a threshold value [20]. Equation ( 2) is the formula used to calculate the threshold value of each service.…”

Section: Improved Eagle Strategymentioning

confidence: 99%

“…At the same time, our proposed method is focused on the non-functional attributes of the QoS that may improve the efficiency of the WSC in terms of availability, response time, and performance, which are the computation time of the services [22,27]. The services are selected for composition based on the user requirement to satisfy the functional requirement that is based on a specific cluster.…”

Section: Improved Eagle Strategymentioning

confidence: 99%

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Improved Eagle Strategy Algorithm for Dynamic Web Service Composition in the IoT: A Conceptual Approach

2022

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The Internet of Things (IoT) is now expanding and becoming more popular in most industries, which leads to vast growth in cloud computing. The architecture of IoT is integrated with cloud computing through web services. Recently, Dynamic Web Service Composition (DWSC) has been implemented to fulfill the IoT and business processes. In recent years, the number of cloud services has multiplied, resulting in cloud services providing similar services with similar functionality but varying in Quality of Services (QoS), for instance, on the response time of web services; however, existing methods are insufficient in solving large-scale repository issues. Bio-inspired algorithm methods have shown better performance in solving the large-scale service composition problems, unlike deterministic algorithms, which are restricted. Thus, an improved eagle strategy algorithm method is proposed to increase the performance that directly indicates an improvement in computation time in large-scale DWSC in a cloud-based platform and on both functional and non-functional attributes of services. By proposing the improved bio-inspired method, the computation time can be improved, especially in a large-scale repository of IoT.

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Section: Improved Eagle Strategymentioning

confidence: 99%

Section: Improved Eagle Strategymentioning

confidence: 99%

Improved Eagle Strategy Algorithm for Dynamic Web Service Composition in the IoT: A Conceptual Approach

2022

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“…Regional logistics cloud service mode is a service mode that provides information on sharing methods and joint working environment for the logistics situation of interconnected enterprises and regions. It can run the tasks submitted by users in a dynamic and real-time virtual resource pool and realize the value-added service of regional logistics [17]. In the regional logistics cloud service mode oriented to cloud computing environment, the concept of each subject is more abundant.…”

Section: Analysis Of the Subjectivity Of Logistics Cloud Servicementioning

confidence: 99%

Optimization of Internet of Things E‐Commerce Logistics Cloud Service Platform Based on Mobile Communication

Zhou

et al. 2021

Complexity

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E-commerce conceivable future trade, consumption, and service is a new digital employer mode. Therefore, in order to decorate the customary natural environment of operation, it is quintessential to get rid of the preferred desktop in the true field, create a social logistics and transportation administration computing device with commodity agents and distributors as the key features, and mix freight logistics, business enterprise approach waft and data waft advertising and marketing, and advertising and marketing organically. The notion of e-commerce logistics looks alongside the enchantment vogue of neighborhood technological knowledge and social demand. It is an integral part of ending e-commerce authentic economic value. All kinds of cell networks clear up the problem of data flow communication; in the technological know-how of telephone network, digital cost solves the bother of capital flow; at present, logistics is however a long-standing problem of e-commerce. Logistics has grown to be the last and entirely bottleneck of e-commerce. If logistics cannot adapt to the enchantment of e-commerce, it may also additionally lead to the slow enchantment of e-commerce. The purpose of this paper is to supply an Internet of things (IoT) e-commerce logistics cloud provider platform based totally absolutely on cell communication, which can be combined with e-commerce and beautify the transport tempo of e-commerce. This paper moreover optimizes the e-commerce logistics system, so that it can combine with e-commerce to increase out the distribution of goods, the distribution tempo of e-commerce is doubled, and e-commerce can in a similar fashion develop rapidly.

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