Fuzzy Logic–Based Scheme for Load Balancing in Grid Services

Helmy, Tarek; Al-Jamimi, Hamdi A.; Ahmed, Bashar; Loqman, Hamzah

doi:10.4236/jsea.2012.512b029

Cited by 14 publications

(3 citation statements)

References 1 publication

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“…The truth values may take any values in this range. The fuzzy logic system consists of four components including: fuzzier, fuzzy inference engine, fuzzy rule base, and defuzzification (Helmy, Al-Jamimi, Ahmed, & Loqman, 2013) as shown in Figure 1. The fuzzier converts the net (crisp) inputs into fuzzy values using membership functions.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Detection of COVID-19 Cases with Fuzzy Classifiers Using Chest Computed Tomography

Kokten

Kılıç

2021

European Journal of Science and Technology

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The novel coronavirus 2019 (COVID-19) is still spreading rapidly since it first appeared in Wuhan city of China in December 2019, resulting in a worldwide pandemic. Early detection of positive cases plays a key role in preventing the further spread of the epidemic which leads to the development of diagnostic methods that give rapid and accurate responses for the detection of COVID-19. Previous studies confirmed that chest computed tomography (CT) is an indispensable tool for early screening and diagnosing of COVID-19 cases. As a result of examinations on CT scans, a radiological finding that is called ground-glass opacity, causing color, and texture change, was found in the lung of a person with COVID-19. Due to the carelessness of radiologists who work long hours and the misdiagnosis resulting in confusion of the findings with different diseases, an automatic system that helps radiologists is needed. In this paper, we present a new approach based on fuzzy classification for the detection of COVID-19 using 3D CT volumes. In the proposed approach, the skewness, kurtosis, and average statistical features of 3D CT images of patients consisting of two classes, COVID and Normal, are calculated and the value ranges are determined for both classes. Three statistical features and value ranges are used as membership functions in the development of fuzzy logic classifier. The proposed approach provides rapid and accurate diagnostics in terms of COVID vs. Normal (binary classification) under a user-friendly interface. Experimental evaluations demonstrate that our approach has great potential for radiologists to validate their initial screening and improve early diagnosis, isolation, and treatment, which contributes to infection prevention and control of the epidemic.

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Section: Fuzzy Logicmentioning

confidence: 99%

Detection of COVID-19 Cases with Fuzzy Classifiers Using Chest Computed Tomography

Kokten

Kılıç

2021

European Journal of Science and Technology

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“…But still, research is going on in dif-ferent aspects. In [7], fuzzy based load balancing technique has been proposed by the author. A review of various nature inspired techniques has been reviewed by the author in [9], which have been used for scheduling the jobs in cloud.…”

Section: Load Balancing In Cloud Computingmentioning

confidence: 99%

Hybrid Bat Algorithm for Balancing Load in Cloud Computing

Sharma¹,

Verma²,

Jyoti³

et al. 2018

IJET

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Swarm Intelligence is proven to be beneficial for solving many problems including knapsack problem, minimum spanning tree, planning problems, routing, load balancing and many more. Here, the focus of the work is on bat algorithm. Due to astonishing feature of echolocation, bat algorithm has drawn researcher’s attention in past years. It is applicable in solving different problems such vehicle routing optimization, time-tabling in railway optimization problems, load balancing in cloud computing etc. The main objective of this work is to propose a technique balancing the load among virtual machines in cloud computing environment.

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“…Time delay occurred, every time the income task want to wait until the ants finish their search. Fuzzy Based Load Balancing [14] Fuzzy logic implemented in two level (i)cluster level (ii)node level. Local manager contains the info about all nodes in every cluster separately Grid manager maintains info about all the clusters.…”

Section: Related Work Of Load Balancing Techniquesmentioning

confidence: 99%

Review of Load Balancing is Distributed Computing and Bat Algorithm

Rani¹,

Kaur²

2017

IJARCSSE

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management of the resources in the various workloads is the key factor of the performance of the distributed computing infrastructure such as (cloud computing, cluster computing and grid computing). Maximizing the resource utilization and enhance the overall performance of the distributed computing infrastructure distribute the workload among the available resource. We can say that the performance is also dependent on the policy of load balancing if load balancing policy is good its leads to better performance and maximize the resource utilization. Grid computing is collection of heterogeneous system from the multiple administrative domains which are geographically distributed to preform parallel processing on demand and provide single coherent view to the user. It suffers from three main challenges scalability, adaptability and heterogeneity. In this paper we provides a detailed study of various load balancing techniques used in the distributed computing which provides you better understanding of various load balancing algorithm with the distributed computing infrastructure.Keyword: Load balancing, grid computing, cluster computing, cloud computing, distributed computing. I. INTRODUCTIONDistributed computing is the most favourable area computer science in which the resources are physically distributed and connected via network and perform communication the help of message passing techniques to perform a common goal the user is always unknown about that processing is going on parallel multiple system he always think the process is going on single system because distributed computing provide single coherent view to the user. Applications of the distributed computing are (cloud computing, grid computing, peer to peer and cluster computing).[1] Distributed computing always able to run those applications which is especially written for run in distributed environment we cannot run all the application on distributed infrastructure and message passing is performed for communication with the help of various methods such as RPC (Remote Procedure Call), HTTP and message ques.[2] Challenges in the distributed computing is the maintain various kind of transparency such as location transparency, migration transparency and relocation transparency.Cloud computing is mechanism of providing on demand services for the various purpose such as (storage, processing and infrastructure). It is an application of the distributed computing it is used internet based communication system means user can demand for the service by using internet and cloud computing provides the resource on demand as per the need of the user. Cloud computing is the pool of the resources where all users are sharing the resources transparently they are not aware of that any other user is also using the same resource each user things the resource used by them is only dedicated to them this is due to transparency maintain by the cloud service provider with the help of virtualization and they also offer virtualization on hardware level not only applicatio...

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Fuzzy Logic–Based Scheme for Load Balancing in Grid Services

Cited by 14 publications

References 1 publication

Detection of COVID-19 Cases with Fuzzy Classifiers Using Chest Computed Tomography

Detection of COVID-19 Cases with Fuzzy Classifiers Using Chest Computed Tomography

Hybrid Bat Algorithm for Balancing Load in Cloud Computing

Review of Load Balancing is Distributed Computing and Bat Algorithm

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