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Load Balancing Based on Optimization Algorithms: An Overview

Fatma Mbarek, Volodymyr Mosorov
2019 Journal of Telecommunications and Information Technology  
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

Boonhatai Kruekaew, Warangkhana Kimpan
2020 International Journal of Computational Intelligence Systems  
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  
, 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

Gaochao Xu, Yan Ding, Jia Zhao, Liang Hu, Xiaodong Fu
2013 The Scientific World Journal  
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

Zhangjun Wu, Xiao Liu, Zhiwei Ni, Dong Yuan, Yun Yang
2011 Journal of Supercomputing  
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]

Mariette Awad, Rahul Khanna
2015 Efficient Learning Machines  
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

K Bhargavi, B Sathish Babu, Jeremy Pitt
2020 Journal of Intelligent Systems  
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

Lijuan Wang, Jun Shen, Junzhou Luo
2015 Concurrency and Computation  
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

Bilal Ahmed, Asad Waqar Malik, Taimur Hafeez, Nadeem Ahmed
2019 EURASIP Journal on Wireless Communications and Networking  
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]

Junhua Wang, Kun Zhu, Ekram Hossain
2021 arXiv   pre-print
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

M Priyanka, V Sivagami
International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2017 IJSRCSEIT   unpublished
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

Mohammad Hammoudeh, Mounir Arioua
2018 Journal of Sensor and Actuator Networks  
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]

Patrick S. Donahue, Joseph W. Draut, Joseph J. Muldoon, Hailey I. Edelstein, Neda Bagheri, Joshua N. Leonard
2019 bioRxiv   pre-print
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)

Editorial Board
2002 Journal of range management  
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]

Chen Yang, Yuzheng Hu, Aleksandr D Talishinsky, Christian T Potter, Leslie A Ramsey, Andrew J Kesner, Reuben F Don, Sue Junn, Aaron Tan, Anne F Pierce, Celine Nicolas, Coleman B Calva (+6 others)
2020 bioRxiv   pre-print
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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