Predictive workload balancing enables cloud service providers to prepare their resource allocation for all different scenarios beforehand of any events. We will call the algorithm of allocating resources based on Cicada predictions C-Rule algorithm.
This paper introduces a rule-based workload-balancing algorithm based on the predictions of an end-to-end system called Cicada.
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The existing load balancing algorithm for cloud computing differ in a number of ways. The Min-Min Load Balancing algorithm provides remarkable performance.
The aim of this work is to reduce in total response time and total execution time with the use of modified Genetic Algorithm to effectively schedule the ...
Sep 7, 2018 · This paper is an exploratory study on the predictive approach for dynamic resource distribution of cloud services. Today, many cloud service ...
PLBA predicts the resources before-hand and avoids overheads in non-burst periods. Also, it uses Right Scale Algorithm (RSA) to consolidate Virtual Machines (VM) ...
This paper is an exploratory study on the predictive approach for dynamic resource distribution of cloud services. Efficient cloud resource management can be ...
Aug 12, 2024 · This paper presents a comparative study of various predictive load balancing algorithms, evaluating their strengths, limitations, and suitability for diverse ...
Aug 15, 2024 · A Predictive Workload Balancing Algorithm in Cloud Services. Article. Full-text available. Jan 2019. Mahdee Jodayree ...
Servers workload in the cloud environment should be balanced in order to achieve high efficiency and reduce resources consuming. One of the solutions is ...