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Load Balancing Based on Optimization Algorithms: An Overview
2019
Journal of Telecommunications and Information Technology
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These algorithms include ant colony optimization (ACO), honey bee (HB) and multi-objective optimization (MOO). ...
ACO and HB algorithms are inspired by the foraging behavior of ants and bees which use the process to locate and gather food. ...
[10] suggested a hybrid VM live migration algorithm based on the MOO approach, in order to speed up the virtual machine load rebalancing process. ...
doi:10.26636/jtit.2019.131819
fatcat:vfbhaeh7p5fwndr6sh2oxmgwfy
Enhancing of Artificial Bee Colony Algorithm for Virtual Machine Scheduling and Load Balancing Problem in Cloud Computing
2020
International Journal of Computational Intelligence Systems
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The scheduling performance of the cloud computing system with HABC was compared to that supplemented with other swarm intelligence algorithms: Ant Colony Optimization (ACO) with standard heuristic algorithm ...
This algorithm is applied to improve virtual machines scheduling solution for cloud computing within homogeneous and heterogeneous environments. ...
To summarize, even though all of the presented algorithms utilize a similar scheduling process based on a heuristic method. ...
doi:10.2991/ijcis.d.200410.002
fatcat:7einftoepzd43pe34p6xkvuvqm
Eeadoselfcloud: Energy Efficient Adaptive Depth Optimized Self Cloud Mechanism for VM Migration in Data Centers
2019
International Journal of Engineering and Advanced Technology
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, this project develop one novel VM migration scheme called eeadoSelfCloud. ...
This proposed method introduces Bee Lion Optimization (BLO) for VM allocation. ...
They requested an algorithm based on the Ant Colony Optimization (ACO) method to overcome the issues. ...
doi:10.35940/ijeat.e7864.088619
fatcat:bdasuq2bojhcbfe4dkt6mf7wrq
A Novel Artificial Bee Colony Approach of Live Virtual Machine Migration Policy Using Bayes Theorem
2013
The Scientific World Journal
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The other one is that it uses the Bayes theorem to further optimize the improved ABC-based process to faster get the final optimal solution. ...
Since live virtual machine (VM) migration technology is widely used and studied in cloud computing, we have focused on the VM placement selection of live migration for power saving. ...
Our proposed algorithm PS-ABC is a heuristic approach which is based on ABC, one of swarm intelligence algorithms and introduces the Boltzmann selection idea into it. ...
doi:10.1155/2013/369209
pmid:24385877
pmcid:PMC3872427
fatcat:ofz4rsgki5e4jipd3w5lpdtmv4
A market-oriented hierarchical scheduling strategy in cloud workflow systems
2011
Journal of Supercomputing
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scheduling algorithms including genetic algorithm (GA), ant colony optimisation (ACO) and particle swarm optimisation (PSO) are adapted, implemented and analysed as the candidate task-level scheduling ...
Based on our hierarchical scheduling strategy, a package based random scheduling algorithm is presented as the candidate service-level scheduling algorithm and three representative metaheuristic based ...
Ant colony optimisation In recent years, Ant Colony Optimisation (ACO), a type of optimisation algorithm inspired by the foraging behaviour of real ants in the wild, has been adopted to address large complex ...
doi:10.1007/s11227-011-0578-4
fatcat:6z6gtintavff3chly7npy4qh2i
Bioinspired Computing: Swarm Intelligence
[chapter]
2015
Efficient Learning Machines
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Bioinspired computational methods produce informatics tools that are predicated on the profound conceptions of self-adaptive distributed architectures seen in natural systems. ...
In the natural world the brain exhibits the properties of a highly efficient informatics tool that gathers data (sensor function), infers and stores useful patterns in the data (knowledge base, memory) ...
The authors used self-organization algorithms based on the principles of collective decision making in animal colonies. ...
doi:10.1007/978-1-4302-5990-9_6
fatcat:rqtiukwmu5epzcvjwp6czhmgx4
Performance Modeling of Load Balancing Techniques in Cloud: Some of the Recent Competitive Swarm Artificial Intelligence-based
2020
Journal of Intelligent Systems
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In literature, sufficient works are being carried out to address load balancing problem in the cloud using traditional swarm intelligence techniques like ant colony optimization, particle swarm optimization ...
, cuckoo search, bat optimization, and so on. ...
Conclusion This paper presents performance modeling of some of the recent competitive swarm artificial intelligence based load balancing techniques like the whale, spider, dragonfly, and the raven with ...
doi:10.1515/jisys-2019-0084
fatcat:jbwfkvj6ffafbkjneimarbwoue
Bio-inspired cost-aware optimization for data-intensive service provision
2015
Concurrency and Computation
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A Dynamic Web Services
Composition Algorithm Based on the Combination of Ant Colony Algorithm and
Genetic Algorithm. ...
A data replica selection optimization algorithm based on an ant colony system
was presented in [175]. ...
doi:10.1002/cpe.3589
fatcat:ac3v652klncdndi6bkglyxe5v4
Services and simulation frameworks for vehicular cloud computing: a contemporary survey
2019
EURASIP Journal on Wireless Communications and Networking
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The review is primarily focused on two areas. ...
Secondly, we focus on a detailed study of mobility generators, network, and vehicular ad hoc network simulators, as well as the available vehicular data sets. ...
The latter is responsible for periodic beaconing to maintain a list of vehicles within the vicinity. At scheduler, jobs are served according to ant colony optimization algorithm. ...
doi:10.1186/s13638-018-1315-y
fatcat:fen5cqswnzg4xlw2ibglp7xm7q
Green Internet of Vehicles (IoV) in the 6G Era: Toward Sustainable Vehicular Communications and Networking
[article]
2021
arXiv
pre-print
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As one of the most promising applications in future Internet of Things, Internet of Vehicles (IoV) has been acknowledged as a fundamental technology for developing the Intelligent Transportation Systems ...
The Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) algorithm are also applied in optimizing the routing path between the source and destination nodes, by using the nodes' position ...
Jabbarpour, 2015
[131]
Ant-based algorithm
Driving directions, vehicle density
and speed
V2I
Congestion avoidance
F. ...
arXiv:2108.11879v1
fatcat:l3fidzspwbhi5mmw55dds7vddu
A Survey on Load Management Techniques in Cloud Computing
International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2017 IJSRCSEIT
unpublished
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This paper is a brief discussion on different load balancing techniques on the bases of different load balancing metrics. ...
In cloud computing, Load balancing is one of the main challenges which are required to distribute the workload equally across all the nodes. ...
It also proposed a dynamic VM consolidation approach that uses a highly adaptive online optimization meta heuristic algorithm called Ant Colony System (ACS) to optimize VM placement. ...
fatcat:aghsd5563nesrhnechz72qbkly
Sensors and Actuators in Smart Cities
2018
Journal of Sensor and Actuator Networks
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Ateya and Ammar Muthanna built the network model and perform the simulation process. ...
Author Contributions: Alex Adim Obinikpo and Burak Kantarci conceived and pursued the literature survey on deep learning techniques on big sensed data for smart health applications, reviewed the state ...
Network Technology (ANT) module. ...
doi:10.3390/jsan7010008
fatcat:pt7nkf4oaraijkmsndohahqtnq
COMET: A toolkit for composing customizable genetic programs in mammalian cells
[article]
2019
bioRxiv
pre-print
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For each ZFa: data were normalized based on the within-experiment ZF1a data series; m was specified based on maximum observed (or expected) reporter expression; b was determined from the data point for ...
Briefly, this algorithm proceeds as follows: 1. ...
doi:10.1101/769794
fatcat:u4fxhxwvqvgbdhh7yvovkk4qem
Volume 55, Number 6 (November 2002)
2002
Journal of range management
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Current rangeland models are based on the following assumptions: 1) algorithms developed from abundant cropland data should apply to rangelands (Foster and Lane 1987) where limited data has hampered ...
We identified 3 vegetation associations within the study area based on field reconnaissance and following Hernandez (1998 [Torr.] Rose & Johnst.). ...
., 383 Herbage allowance, 260 Herbarium, 412 Herbicide, 266 control, 604 Herbicide residues and perennial grass on establishment perennial pepperweed sites, 194 Herbivory, 502 Knight, James, E., ...
doi:10.2458/azu_jrm_v55i6_board
fatcat:zcipe4sdjbgmjd32itk3yb3zxq
Medial Prefrontal Cortex Interacts with the Anteromedial Thalamus in Motivation and Dopaminergic Activity
[article]
2020
bioRxiv
pre-print
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Structural and functional images were co-registered and normalized into the MNI space using ANTs (http://stnava.github.io/ANTs/). ...
They were group housed in a colony maintained with a 12h light/dark cycle (lights on at 7 am) and had ad libitum access to food and water except during testing. ...
doi:10.1101/2020.05.19.104026
fatcat:f4ij2fbtlbgxjg2wcmtrq5r3i4
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