Comparison of Different Task Scheduling Algorithms in Cloud Computing Environment Using Cloud Reports

Jena, Soumya Ranjan; Tripathy, Swagatika; Panigrahy, Tarini P.; Rath, Mamata

doi:10.1007/978-981-13-9282-5_4

Cited by 2 publications

(1 citation statement)

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“…Added to that, proposed system involves LEPT preemption. Proposed system is improved by the divide-andconquer in comparing with the existing frameworks The advantage of this algorithm is that the cost consumption by the tasks are very less compared to other algorithms [5]. But, many factors such as the arrival rate of processes, makespan, completion time of the tasks were not considered as major factors which is a drawback.…”

Section: Related Workmentioning

confidence: 99%

Client Classification and Dynamic Pricing of Resources in Cloud using Cloud Simulator

Ponnuswamy,

Shabariram

2023

IJRITCC

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In cloud computing scenarios, the resources like hardware or software or applications can be accessed whenever a client needs. The client needs to get a subscription to avail service. The usages are monitored by service provider for each client over a network. When more number of client issues a request in cloud, scheduling the resources and pricing of taken resources from the cloud have a huge difference on the incomes. The job request from the user is scheduled in cloud is done, based on the need of the client (i.e) client classification algorithm and based on the demand pricing is fixed (i.e) dynamic pricing scheme. These algorithms solves income optimization problem by allocating resources under a given price and pricing of the resources are based on the allocation. The experiments were proposed with cloud simulation. Cloud simulations results are measured with the first come first serve, client classification and dynamic pricing model. The proposed algorithm shows the better resource allocation based on the pricing method.

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Section: Related Workmentioning

confidence: 99%