Load Balancing Mechanisms in the Software Defined Networks: A Systematic and Comprehensive Review of the Literature

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

doi:10.1109/access.2018.2805842

Cited by 142 publications

(97 citation statements)

References 64 publications

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“…Neghabi et al [31] presented a well defined, systematic and potential review about load balancing techniques in software defined networks and broadly classified them into deterministic and non-deterministic approaches along with associated metrics being investigated into depth. The study poses some important questions and tries to answer them along dimensions of their significance, metric analysis, role and challenges being faced in load balancing of software defined networks.…”

Section: Related Workmentioning

confidence: 99%

Load balancing in cloud computing – A hierarchical taxonomical classification

2019

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Load unbalancing problem is a multi-variant, multi-constraint problem that degrades performance and efficiency of computing resources. Load balancing techniques cater the solution for load unbalancing situation for two undesirable facets-overloading and under-loading. In contempt of the importance of load balancing techniques to the best of our knowledge, there is no comprehensive, extensive, systematic and hierarchical classification about the existing load balancing techniques. Further, the factors that cause load unbalancing problem are neither studied nor considered in the literature. This paper presents a detailed encyclopedic review about the load balancing techniques. The advantages and limitations of existing methods are highlighted with crucial challenges being addressed so as to develop efficient load balancing algorithms in future. The paper also suggests new insights towards load balancing in cloud computing.

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Section: Related Workmentioning

confidence: 99%

Load balancing in cloud computing – A hierarchical taxonomical classification

2019

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“…68 • Packet loss: The packet loss happens when the packet does not reach its destination and denotes the ratio of lost packets overall the transmitted packets. 69,70 • Scalability: The VANETs could be a large-scale network. The data collection mechanisms should consider the operation of many unicast routing requests simultaneously.…”

Section: Metricsmentioning

confidence: 99%

Towards efficient data collection mechanisms in the vehicular ad hoc networks

Pourghebleh

Navimipour

2019

Int J Communication

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Recently, the fast growth of communication technology has led to the design and implementation of different types of networks in different environments. One of these remarkable networks is vehicular ad hoc network (VANET).The ubiquitous connectivity among vehicles is possible through VANET in the absence of fixed infrastructure. Moreover, it provides safety and comfort to people sitting in the vehicles. In this regard, collecting information from vehicles that are moved constantly is an essential challenge. To develop an efficient method for data collection in the VANET, some parameters must be considered such as data aggregation, latency, packet delivery ratio, packet loss, scalability, security, transmission overhead, and vehicle density. Since data collection has a significant importance in the VANET, the aim of this study is to investigate the existing methods and describe the types of important issues and challenging problems that can be addressed in data collection in the VANET. The data collection techniques are investigated in four primary groups, namely, topology-based, cluster-based, geocast-based, and fog-based.Also, the mentioned parameters are important to compare all of the presented techniques. KEYWORDS communication architecture, data collection, VANET, vehicle-to-vehicle communication, vehicular ad hoc networks | INTRODUCTIONOne of the growing disruptive innovation is the Internet of things (IoT), which allows physical devices to communicate over heterogeneous networks. 1-3 Moreover, one of the IoT applications is vehicular ad hoc network (VANET), 4 which has been developed as a powerful technology aimed at providing safety and comfort to people sitting in the vehicles. 5,6 Moreover, it affords wireless communication among vehicles, and dynamic traffic data is transferred with a high accuracy and low cost. 7,8 The VANET is a module of intelligent transportation systems (ITS) and a subdivision of mobile ad hoc network (MANET). 9,10 Typically, the vehicles are armed with sensing equipment and have a high storage and processing capacity. 11 The unique features of the VANETs include higher node density, instability of wireless channel and limited bandwidth, predictability of vehicular pathway, highly dynamic network topology that change quickly and repeatedly, sufficient energy and resources, and hard delay constraints. 12-14 A large scale of VANET is foreseen to be available in the near future because of the rapid growth of vehicles equipped with communication abilities. 15 The data dissemination and the data collection of vehicles are two significant factors supported by VANET. 16

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“…Unfortunately, there is no standard for the horizontal deployment of controllers [144]; thus, the data consistency and East-West interface (the interface between controllers) [145] for communication between controllers have not yet been resolved. All in all, implementing a reasonable load-balancing technique [146] is the third key issue for SDN-based underwater acoustic sensor networks.…”

Section: A Reasonablementioning

confidence: 99%

Advances in Software-Defined Technologies for Underwater Acoustic Sensor Networks: A Survey

et al. 2019

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Underwater Acoustic Sensor Networks (UASNs) are an important technical means to explore the ocean realm. However, most UASNs rely on hardware infrastructures with poor flexibility and versatility. The systems typically deploy in a redundant manner, which not only leads to waste but also causes serious signal interference due to multiple noises in designated underwater regions. Software-Defined Networking (SDN) is a novel network paradigm, which provides an innovative approach to improve flexibility and reduce development risks greatly. Although SDN and UASNs are hot topics, there are currently few studies built on both. In this paper, we provide a comprehensive review on the advances in software-defined UASNs. First, we briefly present the background, and then we review the progress of the Software-Defined Radio (SDR), Cognitive Radio (CR), and SDN. Next, we introduce the current issues and potential research areas. Finally, we conclude the paper and present discussions. Based on this work, we hope to inspire more active studies and take a further step on software-defined UASNs with high performances.

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Load Balancing Mechanisms in the Software Defined Networks: A Systematic and Comprehensive Review of the Literature

Cited by 142 publications

References 64 publications

Load balancing in cloud computing – A hierarchical taxonomical classification

Load balancing in cloud computing – A hierarchical taxonomical classification

Towards efficient data collection mechanisms in the vehicular ad hoc networks

Advances in Software-Defined Technologies for Underwater Acoustic Sensor Networks: A Survey

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