Design and analysis of resource allocation techniques in cloud partitions

Ukande, Shweta T.; Dharmik, R. C.

doi:10.1109/startup.2016.7583979

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…The virtualization idea is typically utilised to lighten the burden on cloud servers. The load balancing technique-based allocation strategy must be effective enough to ensure maximum resource usage and throughput [3]. Then, while distributing resources to them, the user-inserted parameters will be taken into account.…”

Section: Year 2016mentioning

confidence: 99%

A Survey on Resource Allocation Techniques in Cloud Computing

Priyadarshini¹,

Nithya²,

Reka³

2022

IJRITCC

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Cloud is an important and emerging technology utilized by various fields for storing, processing and retrieving of data anywhere and anytime without any interruption. Cloud is now acting as a platform for many companies for storing and other computational purposes to reduce infrastructure and maintenance cost similarly they can utilize their application widely based on pay per use. To make available of data to all cloud users Resource Allocation (RA) is mandatory process. In cloud hardware, software and platform are the resources utilized to satisfy user needs hence sharing these resources according to users need is a difficult task. Cloud service provider and cloud service consumer plays the major role in RA. The parameters under resource allocation, its issues and challenges are needed to be analyzed deeply before implementing any optimizing approach in RA. Hence in this work various resource allocation methods have been studied and issues in it is analyzed and presented as a survey. This work is useful for both cloud users and researchers in overcoming the challenges faced in RA.

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Section: Year 2016mentioning

confidence: 99%

A Survey on Resource Allocation Techniques in Cloud Computing

Priyadarshini¹,

Nithya²,

Reka³

2022

IJRITCC

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“…It suggests a new execution time slice dynamical round robin algorithm that serves for evaluating the dynamic quantic period (TQ) in each round for individual requests for service. The Priority Part (PC) of the cycle was determined with priority [8][9] . A cloud load-balancing genetic algorithm (GA) solution 10 .…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence based Optimized Resource Allocation using Predictive Analysis in a Virtual Environment

Sahana

Dinesh

Deekshith³

et al. 2023

Preprint

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In a virtual environment, load balancing is the best method of assigning a collection of tasks through a range of resources, in order to make the total output more efficient. Load balancers not only improve efficiency but also ensure system stability. Resource allocation in a virtual environment in this article is accomplished by using Amazon Web Services (AWS) and machine learning techniques. Round Robin resource allocation algorithm is used by HAProxy to perform Load Balancing responsibilities. The virtual servers created through Amazon Elastic Compute Cloud (EC2), all have the same characteristics, such as load bearing capacity and reaction time. One of the EC2 instances created is configured to host the HAProxy. The load bearing potential of HAProxy is inversely proportional to the execution time, ensuring faster processing of the incoming requests. HAProxy, as the load balancer, optimizes resource allocation and provides flexibility in contrast to a standard application load balancer. The logs created by the instances help predict future load on the servers, by applying the ARIMA time-series forecasting model. A Mean Squared Error of 3.28 is obtained, justifying the accuracy of the prediction.

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Design and analysis of resource allocation techniques in cloud partitions

Cited by 2 publications

References 27 publications

A Survey on Resource Allocation Techniques in Cloud Computing

A Survey on Resource Allocation Techniques in Cloud Computing

Artificial Intelligence based Optimized Resource Allocation using Predictive Analysis in a Virtual Environment

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