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
Volume-3 | Issue-4
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
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 - 1 | Issue - 1 | june 2019
Published
June, 2019
The cloud being a prominent area for research, is ubiquitous as it serves the client needs irrespective of time and place. It has become the most preferred network due to its guaranteed service rendering and cost effectiveness. The increase in the capability of the cloud services has increased the number of users to adapt to cloud. The increase in the adaption towards cloud in turn results with insufficiency in the proper and the simultaneous allocation of the resources according to the requisitions. So the task scheduling and resource allocation for the cloud becomes essential. As the conventional methods of task scheduling arrive to a local optima solution that are less-effective, the paper surveys the meta-heuristic optimization based task scheduling and the resource allocation for the ubiquitous cloud environment, that arrives to an more optimal solution at a faster rate and at ease. The paper presents the survey of the optimization techniques of task scheduling available for the cloud and the discussion of the improvement of the performance metrics in terms of make-span, throughput, cost, latency and successful service provisioning compared to the other conventional methods.
KeywordsUbiquitous Clouds Task scheduling Optimization methods guaranteed servicing and Optimized performance
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