Greening the Cloud: A Load Balancing Mechanism to Optimize Cloud Computing Networks

Kumar, Chetan; Marston, Sean; Sen, Ravi; Narisetty, Amar

doi:10.1080/07421222.2022.2063551

Cited by 9 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Network QoS is achieved by proposing a QoS-and connection-aware cloud service structure process for accepting end-to-end QoS requirements in the cloud [29]. The authors of [30] achieved load balancing by immediately involving datacentre power consumption with a variety of workloads in the cloud. The accuracy of the application results will not diminish by balancing tasking frequency among edge nodes [31].…”

Section: Related Workmentioning

confidence: 99%

Design of A new Algorithm by Using Standard Deviation Techniques in Multi Edge Computing with IoT Application

2023

KSII TIIS

View full text Add to dashboard Cite

The Internet of Things (IoT) requires a new processing model that will allow scalability in cloud computing while reducing time delay caused by data transmission within a network. Such a model can be achieved by using resources that are closer to the user, i.e., by relying on edge computing (EC). The amount of IoT data also grows with an increase in the number of IoT devices. However, building such a flexible model within a heterogeneous environment is difficult in terms of resources. Moreover, the increasing demand for IoT services necessitates shortening time delay and response time by achieving effective load balancing. IoT devices are expected to generate huge amounts of data within a short amount of time. They will be dynamically deployed, and IoT services will be provided to EC devices or cloud servers to minimize resource costs while meeting the latency and quality of service (QoS) constraints of IoT applications when IoT devices are at the endpoint. EC is an emerging solution to the data processing problem in IoT.In this study, we improve the load balancing process and distribute resources fairly to tasks, which, in turn, will improve QoS in cloud and reduce processing time, and consequently, response time.

show abstract

Section: Related Workmentioning

confidence: 99%

Design of A new Algorithm by Using Standard Deviation Techniques in Multi Edge Computing with IoT Application

2023

KSII TIIS

View full text Add to dashboard Cite

show abstract

“…In the study of sedimentation of sediment particles in the ocean based on the dynamic programming algorithm , many scholars have studied it and achieved good results. For example , Kumar C believes that flocculation refers to the interaction between viscous and fine The surface charge of sand particles is reduced, the cohesion is reduced, and a unique agglomerate structure is formed [3]. Hocking TD found that with the further development of observation equipment and imaging technology, the changes of floc morphology and structure during the coalescence process can be studied more deeply, but the existing theories cannot accurately explain the changes of floc structure [4].…”

Section: Introductionmentioning

confidence: 99%

Sedimentation of Sediment Particles in the Ocean Based on Dynamic Programming Algorithm

2022

FOE

View full text Add to dashboard Cite

It is an important subject of sediment production machinery to study the production development process and sediment transport law of cohesive fine-grained sediment flocculation. At present, many scholars have learned how to break out of the water under pressure on the basis of theory and practice, but there are still many unsolved problems. This paper aims to study the sedimentation of sediment particles in the ocean based on a dynamic programming algorithm. In this paper, the microscopic images of flocs are analyzed and studied by using Ipp graphics software and fractal method for the motion of offshore seawater such as beaches. The traditional calculation method is relatively simple to calculate the effective density of flocs. The fractal dimension of flocculation was calculated using the box dimension calculation method of two-dimensional digital images and MATLAB software. The changing laws of effective density, porosity, diameter and fractal dimension of flocs under different sediment content and electrolyte conditions were discussed from the microscopic point of view. From a macroscopic point of view, the flocculation and recrystallization processes of fine-grained viscous powders were experimentally evaluated. If you consider that most natural water contains cations, and cations have a great influence on the flocculation and distribution of fine sediments, for this reason, this paper develops the ion concentration parameter based on the principle of Goncharov, which is suitable for the flocculation rate formula. Experiments have shown that the floc density of different cationic valences changes significantly. There is a transitional stage, called transitional settlement stage.

show abstract

An Energy & Cost Efficient Task Consolidation Algorithm for Cloud Computing Systems

Kumar¹,

Pal²,

Singh

et al. 2022

Advancements in Smart Computing and Information Security

View full text Add to dashboard Cite

Greening the Cloud: A Load Balancing Mechanism to Optimize Cloud Computing Networks

Cited by 9 publications

References 36 publications

Design of A new Algorithm by Using Standard Deviation Techniques in Multi Edge Computing with IoT Application

Design of A new Algorithm by Using Standard Deviation Techniques in Multi Edge Computing with IoT Application

Sedimentation of Sediment Particles in the Ocean Based on Dynamic Programming Algorithm

An Energy & Cost Efficient Task Consolidation Algorithm for Cloud Computing Systems

Contact Info

Product

Resources

About