Energy‐aware dynamic‐link load balancing method for a software‐defined network using a multi‐objective artificial bee colony algorithm and genetic operators

Neghabi, Ali Akbar; Navimipour, Nima Jafari; Hosseinzadeh, Mehdi; Rezaee, Ali

doi:10.1049/iet-com.2019.1300

Cited by 17 publications

(8 citation statements)

References 21 publications

(49 reference statements)

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“…The main objective is that we reduce this utilization of resource and improve the network life time. (Neghabi et al 2020 ; Johansson et al 2004 ). …”

Section: Load-balancing Policiesmentioning

confidence: 99%

Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021

2021

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Cloud computing is new technology that has considerably changed human life at different aspect over the last decade. Especially after the COVID-19 pandemic, almost all life activity shifted into cloud base. Cloud computing is a utility where different hardware and software resources are accessed on pay per user ground base. Most of these resources are available in virtualized form and virtual machine (VM) is one of the main elements of visualization.VM used in data center for distribution of resource and application according to benefactor demand. Cloud data center faces different issue in respect of performance and efficiency for improvement of these issues different approaches are used. Virtual machine play important role for improvement of data center performance therefore different approach are used for improvement of virtual machine efficiency (i-e) load balancing of resource and task. For the improvement of this section different parameter of VM improve like makespan, quality of service, energy, data accuracy and network utilization. Improvement of different parameter in VM directly improve the performance of cloud computing. Therefore, we conducting this review paper that we can discuss about various improvements that took place in VM from 2015 to 20,201. This review paper also contain information about various parameter of cloud computing and final section of paper present the role of machine learning algorithm in VM as well load balancing approach along with the future direction of VM in cloud data center.

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“…The main objective is that we reduce this utilization of resource and improve the network life time. (Neghabi et al 2020 ; Johansson et al 2004 ). …”

Section: Load-balancing Policiesmentioning

confidence: 99%

Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021

2021

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“…In [61], recommended an EA dynamic routing methodology for resolving the link load-balancing issue whilst decreasing power consumption by the MO Artificial Bee Colony (MOABC) along with genetic operators. When compared to the primary genetic-ant colony, basic-ant colony, and round-robin methodologies this system had shown maximized PLR, round trip time together with jitter metrics.…”

Section: Energy-aware Routing Protocol Based Routing Strategy In Sdnmentioning

confidence: 99%

A Review on Efficient Energy Consumption in Software-Defined Networking Using Routing Aware Protocols

Shivakeshi,

2023

ijmst

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The concept of Software-Defined Networking (SDN) has been a fascinating and growing interest in the field of research. The programmable network component is allowed by the SDN’s promising characteristics and partitions the control plane together with the forwarding plane. Energy Efficiency (EE) turned out to be a vital design requisite for modern networking mechanisms since the energy costs supply hugely to the entire costs in networks. Nevertheless, as it is necessary to handle the trade-off betwixt EE and Network Performance (NP), designing energy-effective solutions is non-trivial. Thus, by utilizing Energy-Aware Routing (EAR) approaches, this paper reviews the methodologies of Energy Consumption (EC) on SDN. The latest research related to the traffic-aware solution, compacting TCAM solution, end-host aware solutions, rule placement solutions, heuristic approach-centric solution, and EAR routing protocol was highlighted by this review article in terms of optimal EC on SDN. Finally, centered on the EC metrics, the current research methodologies’ performance is assessed in the performance evaluation. By utilizing EAR routing, this type of research is helpful for future research in efficient EC in SDN.

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“…Given that the load balancing issue is an NP-hard problem, meta-heuristic methods can be used to solve it [35,36]. This section's primary purpose is to use a hybrid algorithm (ACO and ABC) to solve this problem.…”

Section: Aco and Abc Algorithmsmentioning

confidence: 99%

A new energy‐aware method for load balance managing in the fog‐based vehicular ad hoc networks (VANET) using a hybrid optimization algorithm

Ren

Arefzadeh

2021

IET Communications

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Fog-based VANETs (Vehicular Ad hoc NETworks) is a new model with vehicular cloud and fog computing benefits. Fog-based VANETs consist of a series of mobile nodes that are fully dynamic without any central management. These networks have some limitations due to the use of the mobile power source. There are many challenges in extending mobilebased networks' life span. Many methods have been suggested to minimize the nodes' energy consumption and extend the network life. Also, some works have been developed for load-balanced routing. Still, energy-efficient routing and load balancing in VANETs are challenges. The purpose of this study is to present a suitable method based on energy awareness for load balancing in fog-based VANETs using a hybrid optimization algorithm (employing ant colony optimization and artificial bee colony (ACO-ABC)). The simulation results in the Network Simulator 2 (NS2) environment showed that as the number of nodes increased, the consumed amount of energy in the VANET is increased. Also, with the increasing number of tasks, load balancing by the proposed method has been improved. Finally, the simulation experiments showed that the proposed hybrid algorithm (ACO-ABC) outperforms all other algorithms.1 Recently, extending cloud computing to the network's edge is very hot topic, for example, deploying fog nodes to the network edge [4][5][6]. In other words, computational capabilities are pushed to devices located on the edge of the network based on the internet "decentralization" feature. It lets some services be decentralized from the cloud to the fog devices [7,8], reducing data transmission delay, bandwidth consumption, computa-This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Energy‐aware dynamic‐link load balancing method for a software‐defined network using a multi‐objective artificial bee colony algorithm and genetic operators

Cited by 17 publications

References 21 publications

Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021

Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021

A Review on Efficient Energy Consumption in Software-Defined Networking Using Routing Aware Protocols

A new energy‐aware method for load balance managing in the fog‐based vehicular ad hoc networks (VANET) using a hybrid optimization algorithm

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