LBPSGORA: Create Load Balancing with Particle Swarm Genetic Optimization Algorithm to Improve Resource Allocation and Energy Consumption in Clouds Networks

Mirmohseni, Seyedeh Maedeh; Javadpour, Amir; Tang, Chunming

doi:10.1155/2021/5575129

Cited by 28 publications

(12 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first scenario is a particular case of the second one in which the sending protocol is specified first. The descriptions of the scenarios are provided as follows (Mirmohseni et al, 2021).…”

Section: Proposed Methodologymentioning

confidence: 99%

An intelligent sustainable efficient transmission internet protocol to switch between User Datagram Protocol and Transmission Control Protocol in IoT computing

et al. 2022

Self Cite

View full text Add to dashboard Cite

Today, Internet of things (IoT), Cloud and Fog networks have spread out around the world. The more these networks grow, the more their energy consumption comes to attention. Many efforts have been made during recent years to decrease this energy consumption, mainly focused on utilizing low-power devices. Green algorithms are recently proposed to reduce energy consumption by modifying the structure of many algorithms employed in the network and its protocols. This paper proposes a new green reliability algorithm for Transmission Control Protocol/Internet Protocol (TCP/IP protocol) in Fog computing. The proposed algorithm does not require extensive TCP/IP protocol changes or relevant hardware. It is based on transferring less number of packets in the network by using the advantage of differences between TCP and User Datagram Protocol (UDP). TCP and User Datagram Protocol (UDP) are different in nature as the number of total packets in UDP is half that of TCP. As a result, the number of complete packets in UDP is half that of TCP. The proposed method is built around the loss of some packets in applications, such as voice and online video, does not severely degrade the end results. Therefore, the UDP protocol can substitute TCP in such situations. The criterion to switch between the two is the minimum acceptable Quality of Service (QoS) of the overall network. In other words, the UDP protocol will be used as long as QoS requirements are met. The switching process between UDP and TCP is dynamic, optimized by estimating network noise in the period. Additionally, we evaluated the proposed method based on several QoS functions, including delay, throughput, and energy usage. K E Y W O R D S energy efficiency, intelligent federated protocol, internet of things, quality of service, reliability, sustainable efficient transmission 1 | INTRODUCTION Today, the Internet of Things and cloud computing are commonly used in business environments. During the past few years, the Internet of Things has gained a lot of importance. Fog computing uses edge computing to deliver computing storage and management capabilities near end users. A fog computing layer must sit between IoT devices and remote clouds in order to capitalize on edge computing benefits

show abstract

Section: Proposed Methodologymentioning

confidence: 99%

An intelligent sustainable efficient transmission internet protocol to switch between User Datagram Protocol and Transmission Control Protocol in IoT computing

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Mirmohseni et al ( 2021) [61] combined the outcomes of the particle swarm genetic optimization (PSGO) process. The findings were improved and a viable solution for load balancing operations was introduced by combining the advantages of these two algorithms.…”

Section: Virtual Machine Management Using Metaheuristic Methodsmentioning

confidence: 99%

A systematic review on effective energy utilization management strategies in cloud data centers

2022

View full text Add to dashboard Cite

Data centers are becoming considerably more significant and energy-intensive due to the exponential growth of cloud computing. Cloud computing allows people to access computer resources on demand. It provides amenities on the pay-as-you-go basis across the data center locations spread over the world. Consequently, cloud data centers consume a lot of electricity and leave a proportional carbon impact on the environment. There is a need to investigate efficient energy-saving approaches to reduce the massive energy usage in cloud servers. This review paper focuses on identifying the research done in the field of energy consumption (EC) using different techniques of machine learning, heuristics, metaheuristics, and statistical methods. Host CPU utilization prediction, underload/overload detection, virtual machine selection, migration, and placement have been performed to manage the resources and achieve efficient energy utilization. In this review, energy savings achieved by different techniques are compared. Many researchers have tried various methods to reduce energy usage and service level agreement violations (SLAV) in cloud data centers. By using the heuristic approach, researchers have saved 5.4% to 90% of energy with their proposed methods compared with the existing methods. Similarly, the metaheuristic approaches reduce energy consumption from 7.68% to 97%, the machine learning methods from 1.6% to 88.5%, and the statistical methods from 5.4% to 84% when compared to the benchmark approaches for a variety of settings and parameters. So, making energy use more efficient could cut down the air pollution, greenhouse gas (GHG) emissions, and even the amount of water needed to make power. The overall outcome of this review work is to understand different methods used by researchers to save energy in cloud data centers.

show abstract

“…As was mentioned before, based on the features of the simulated fault injection method, which are useable in the initial phases of design, we also used these methods in this thesis to calculate the level of reliability in NoC router [30][31][32][33][34]. The usage of simulated fault injection is considered in many types of research related to the reliability assessment of digital calculating systems.…”

Section: Fault Injection Processmentioning

confidence: 99%

“…Therefore, in each simulation iteration, which activates a specific FIS, different periods of time are considered for FISs. Also, the activation time in the authorised period for fault injection is determined with uniform distribution [23,34,36]. Increasing the number of iterations makes the results closer to the acceptable result, which is also time-consuming.…”

Section: Si Performancementioning

confidence: 99%

A novel buffering fault‐tolerance approach for network on chip (NoC)

Jafarzadeh

Jalili

Alzubi

et al. 2022

IET Circuits, Devices & Syst

Self Cite

View full text Add to dashboard Cite

Network-on-Chip (NoC) is a key component in chip multiprocessors (CMPs) as it supports communication between many cores. NoC is a network-based communication subsystem on an integrated circuit, most typically between modules in a system on a chip (SoC). Designing a reliable NoC against failures that can prevent failure using some measures or preventing error or system failure while failure happens and proper performance became a significant concern. For a reliable design against failures, first, the system should be analysed to discover the critical points. Hence, in this research, it is tried first to investigate the scale of fault tolerance effect on the mechanism in the router on the network by injecting simulated errors, and then these errors are prevented. As the major novelty, the authors implemented a router on a synchronised network and calculated the network buffering fault tolerance by injecting error in the buffer. Specifically, a new method for improving fault tolerance is proposed, which uses the existing resources efficiently. So, it does not impose any overhead on hardware and improves the error tolerance scale. The authors also evaluate it from different perspectives to show its superior performance. K E Y W O R D S buffering, error injection, network on chip (NoC), router, virtual channel | INTRODUCTIONNetwork-on-chip (NoC) refers to closed-switch communication in a large VLSI system implemented on a single silicon chip. This concept was introduced to improve the bandwidth of the electrical connections of recent system-on-chips (SoCs). The superiority of NoC interconnects mitigates the challenges of growing to interconnect complexity and power budget requirements, making it significant for scalable architectures. Fault-tolerant routing algorithms are primarily designed to fortify the network against permanent errors. The first valuable designs for NoCs are introduced in Ref. [1][2][3]. In most previous studies, the routing algorithms are designed for situations when one or more areas of the network faceThis 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.

show abstract

LBPSGORA: Create Load Balancing with Particle Swarm Genetic Optimization Algorithm to Improve Resource Allocation and Energy Consumption in Clouds Networks

Cited by 28 publications

References 34 publications

An intelligent sustainable efficient transmission internet protocol to switch between User Datagram Protocol and Transmission Control Protocol in IoT computing

An intelligent sustainable efficient transmission internet protocol to switch between User Datagram Protocol and Transmission Control Protocol in IoT computing

A systematic review on effective energy utilization management strategies in cloud data centers

A novel buffering fault‐tolerance approach for network on chip (NoC)

Contact Info

Product

Resources

About