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Cost Effective Ant Colony Optimization in Cloud Computing
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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The simulation consequences demonstrate that the suggested scheduling algorithm performs faster than previous Ant Colony Optimization algorithm in reference to the cost. ...
outperforms the others techniques which are in use into considerations. ...
Ant Colony Optimization algorithm is being utilized on many combinatorial optimization problems, multi-targets and parallel implementation [10] . ...
doi:10.35940/ijitee.j9460.0881019
fatcat:7lbdjsfltjacpeorwjxxa52pfy
Cloud task scheduling based on ant colony optimization
2013
2013 8th International Conference on Computer Engineering & Systems (ICCES)
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In this paper, a cloud task scheduling policy based on Ant Colony Optimization (ACO) algorithm compared with different scheduling algorithms First Come First Served (FCFS) and Round-Robin (RR), has been ...
One of the fundamental issues in this environment is related to task scheduling. ...
An optimized algorithm for VM placement in cloud computing scheduling based on multi-objective ant colony system algorithm in cloud computing is proposed in [8] . ...
doi:10.1109/icces.2013.6707172
fatcat:yfdttyd3jneq7bajrfamwr3v3a
Efficient Utilization of IaaS Cloud using Adaptive Evolution Based Technique
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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The Big-Bang Big-Crunch optimization method based task allocation technique focuses on efficient resource utilization of IaaS (Infrastructure as a Service) cloud. ...
BB-BC cost-aware model provides optimal resource utilization, and minimum average finish time, and minimum average start time (ms) of cloudlets. ...
ACKNOWLEDGMENTS We are pleased with our University staff, who helped us with the successful completion of this work promptly in a time-bound manner. We are grateful for the Rodrigo N. ...
doi:10.35940/ijitee.l1164.10812s19
fatcat:zfoc4qjrffc4voeijd72luhjym
Improving Task Scheduling in Large Scale Cloud Computing Environment using Artificial Bee Colony Algorithm
2014
International Journal of Computer Applications
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In order to get the minimum time for the execution of the task the Scheduling algorithm must be good, once the performance of the scheduling algorithm is good then automatically the result obtained by ...
In the face of Scheduling, the tasks are scheduled by using Different scheduling Algorithms. Each Scheduling Algorithm has own particularity and complexity during Scheduling. ...
After the Implementation of the system the required simulations are performed using cloudsim Simulator. The above graph depicts the Simulation time Total Task finishing Time. ...
doi:10.5120/18072-9017
fatcat:lsnuw2ka7fhifgbfhwgynmdkzy
A NOVEL APPROACH OF OPTIMIZING PERFORMANCE USING K-MEANS CLUSTERING IN CLOUD COMPUTING
2016
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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We propose an improved load balancing algorithm for job scheduling in the cloud environment using K-Means clustering of cloudlets and virtual machines in the cloud environment. ...
Load balancing ensures that no single node will be overloaded and used to distribute workload among multiple nodes. It helps to improve system performance and proper utilization of resources. ...
[12] introduced a static load balancing technique called Ant Colony Optimization. In this technique, an ant starts the movement as the request is initiated. ...
doi:10.24297/ijct.v15i14.4942
fatcat:ztrqzijnrvcmrhngf4kc76ldpi
Load Balancing Technique in Cloud Computing : A Review
2016
International Journal of Computer Applications
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Load Balancing is a technique of sharing cloudlet of overloaded nodes to slug nodes. ...
In CC, due to its elastic characteristic, load balancing (LB) is a critical issue as data processing occurs centrally in network using Virtual Machines (VM). ...
Ant Colony Optimization In [12] authors have proposed a method of load balancing using ant colony formation. ...
doi:10.5120/ijca2016910625
fatcat:c6zuwxjq5faoriqnocmxyrbsxe
Task Scheduling Using Meta-Heuristic Optimization Techniques in Cloud Environment
2016
International Journal Of Engineering And Computer Science
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Therefore, in order to schedule the intensive data, numerous heuristic algorithms have been recommended such as Particle Swarm Optimization (PSO), Genetic Algorithms (GA), Ant Colony Optimization Algorithms ...
This service is used to complete the task as soon as possible without any delay in task scheduling. ...
Cloud Environment Cloudlets MQoS-GAAC Ant colony optimization algorithm (ACO) with Genetic algorithm (GA). ...
doi:10.18535/ijecs/v5i11.59
fatcat:c52jtowc4fenvnrssod4atwtim
QRAS: efficient resource allocation for task scheduling in cloud computing
2021
SN Applied Sciences
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To overcome scheduling optimization problem, the proposed QoS based resource allocation and scheduling has used swarm-based ant colony optimization provide more predictable results. ...
Task Scheduling is NP-hard problem where unsuitable matching leads to performance degradation and violation of service level agreement (SLA). ...
Swarm based ant colony optimization (ACO) technique has been used for resource allocation and scheduling problem. The optimal matching has been underlined through negotiation process. ...
doi:10.1007/s42452-021-04489-5
fatcat:7nmyeqscszgozmbginxgloxfqm
A Research Paper on Efficient Usage of MIPS to Allocate Virtual Machine to Cloudlets
2017
International Journal of Advanced Research in Computer Science and Software Engineering
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We will be implementing the proposed work in cloud sim simulation tool ...
Multiple numbers of experiments have been conducted by taking different configurations of cloudlets and virtual machine. ...
[10] introduced a static load balancing technique called Ant Colony Optimization. In this technique, an ant starts the movement as the request is initiated. ...
doi:10.23956/ijarcsse/v7i6/0249
fatcat:rpbtp6jya5e6nlfllsmfzaunqm
A Parallel Particle Swarm Optimisation for Selecting Optimal Virtual Machine on Cloud Environment
2020
Applied Sciences
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The PPSO algorithm was implemented using the MATLAB tool. ...
The results displayed that the PPSO algorithm gives accurate outcomes better than default CloudSim in terms of final implementation time of medicinal queries by 33.3%. ...
Some of the swarm intelligence approaches used for optimal Virtual_Ms selection are bee colony optimisation (BCO), ant colony optimisation (ANT), bat optimisation [14] [15] [16] , and particle swarm optimisation ...
doi:10.3390/app10186538
fatcat:2swrs5daynhvnmjkdrucoonpt4
META-HEURISTICS TECHNIQUES IN CLOUD COMPUTING: APPLICATIONS AND CHALLENGES
2021
Indian Journal of Computer Science and Engineering
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State of art optimization algorithms that are applied in solving these problems is presented in this paper. ...
The integration of cloud with many technologies like mobile, Internet of Things, etc. has brought new challenges in cloud computing. ...
Swarm optimization
2018
Particle Swarm Optimization
2018
Ant-lion Optimizer algorithm
2018
Ant Colony Optimization
2019 ...
doi:10.21817/indjcse/2021/v12i2/211202055
fatcat:zkbrbegn2rfall5w3e4ovvarwq
HSO: A Hybrid Swarm Optimization Algorithm for Re-Ducing Energy Consumption in the Cloudlets
2018
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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To address these issues, this study sets forth a novel algorithm (HSO) that optimized energy efficiency resource management in the cloud; the process of the proposed method involves the use of the developed ...
With the proposed model, the performance of the Hybrid swarm algorithm was significantly increased, as observed by optimizing the number of tasks through simulation, (power consumption was reduced by 42% ...
Regarding the SI, the most important SI techniques are the Ant Colony Optimization (ACO) [13] and Particle Swarm Optimization (PSO) [14] [15] [16] [17] . ...
doi:10.12928/telkomnika.v16i5.9415
fatcat:mfactuesjba57oyc2shzwp4zsa
ENHANCED CREDIT BASED LOAD BALANCING IN CLOUD ENVIRONMENT
2017
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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This paper reports a new load balancing technique using modified credit based system using task length, task priority and its cost. ...
The proposed algorithm has been implemented in cloudsim toolkit and its comparison with existing algorithm has been discussed in the paper. ...
[12] introduced a static load reconciliation technique referred to as ant Colony optimization. During this technique, AN ant starts the movement because the request is initiated. ...
doi:10.24297/ijct.v15i14.5153
fatcat:qibzi3hc2vhwtphgh77nya2hlu
Dynamic Load Balancing Ant Colony Optimization (DLBACO) Algorithm for Task Scheduling in Cloud Environment
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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In this paper, a dynamic load balancing and task scheduling algorithm based on ant colony optimization (DLBACO) has been proposed. ...
This algorithm assigns the task the VM which has highest probability of availability in minimum time. ...
The proposed algorithm is based upon Ant Colony Optimization technique to optimize the schedulability of tasks. ...
doi:10.35940/ijitee.j9404.1081219
fatcat:jh5lgk7dlveuzkyxljzkxvcjo4
AN ENHANCED TASK ALLOCATION STRATEGY IN CLOUD ENVIRONMENT
2017
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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We propose an improved load balancing algorithm for job scheduling in the cloud environment using K-Means clustering of cloudlets and virtual machines in the cloud environment. ...
Load balancing ensures that no single node will be overloaded and used to distribute workload among multiple nodes. It helps to improve system performance and proper utilization of resources. ...
[12] introduced a static load balancing technique called Ant Colony Optimization. In this technique, an ant starts the movement as the request is initiated. ...
doi:10.24297/ijct.v16i6.6304
fatcat:k32ook7hijesvkoejllbwvkjsa
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