Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
Design of Deep Learning Algorithm for IoT Application by Image based Recognition
Volume-3 | Issue-3
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Health Record Management System – A Web-based Application
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A Novel Signal Processing Based Driver Drowsiness Detection System
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IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Secure Data Sharing Platform for Portable Social Networks with Power Saving Operation
Volume-3 | Issue-3
Review of Internet of Wearable Things and Healthcare based Computational Devices
Volume-3 | Issue-3
Stock Index Prediction with Financial News Sentiments and Technical Indicators
Volume-4 | Issue-3
Hybrid Framework on Automatic Detection and Recognition of Traffic Display board Signs
Volume-3 | Issue-3
Suspicious Human Activity Detection System
Volume-2 | Issue-4
ROBOT ASSISTED SENSING, CONTROL AND MANUFACTURE IN AUTOMOBILE INDUSTRY
Volume-1 | Issue-3
EFFICIENT RESOURCE ALLOCATION AND QOS ENHANCEMENTS OF IOT WITH FOG NETWORK
Volume-1 | Issue-2
Live Streaming Architectures for Video Data - A Review
Volume-2 | Issue-4
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
Volume-2 | Issue-1
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Hybrid Intrusion Detection System for Internet of Things (IoT)
Volume-2 | Issue-4
Volume - 2 | Issue - 2 | june 2020
Published
14 May, 2020
The swift progress in the computing set up by providing services has caused the sudden increase in the amount of the services that are operationally similar. The dissimilarity in such services are observed based on the characteristics standards of their service quality. Consequently a thought-provoking issue in the perspective of the service-configuration is based on the choosing the accurate client services according to the user demands for which the acquired compound services guarantees the noncomputational demands on the ground of comprehensive service quality constraints. The procedure carried out in the paper presents the novel algorithm for the service composition/configuration for enhancing the quality of service of the compound /composite computing services. The algorithm focusses in improve the service configuration feasibility and optimality and minimize the configuration time. The algorithm is totally based on the limits in the configuration strategies that relies on the Pareto-Dominance and the quality of service decomposition (PD-QOSD). The quantity of the service arrangements is expected to increase according to the service count and quality of service characteristics in case of PD and whereas the QOSD takes care of the feasibility of the arrangements during the high restrictions imposed by users on the constraints of the comprehensive quality of service. The validation outcomes prove that the novel algorithm developed function efficiently on the basis of the time required for composition, the optimality, as well as the search space.
KeywordsCompound Services Composition of Services QOSD PD QOS Enhancements
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