Task admission control policy in cloud server pools based on task arrival dynamics

Khojasteh, Haleh; Mišić, Jelena

doi:10.1002/wcm.2689

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…This paper proposes an admission control and scheduling mechanism that rejects the task if it cannot be completed within the deadline [if the deadline is hard] and budget or if the SaaS provider is not going to earn any profit [if the deadline is soft]. Khojasteh et al [15] presented two algorithms for task admission control by incorporating a filtering coefficient and a full-rate task acceptance threshold value. In 1st algorithm, they calculated the estimated average utilization.…”

Section: Literature Reviewmentioning

confidence: 99%

A Deadline-Budget Constrained Task Admission Control for a Software-as-a-Service Provider in Cloud Computing

Jain,

Sharma

2023

Iraqi Journal of Science

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Cloud computing is a pay-as-you-go model that provides users with on-demand access to services or computing resources. It is a challenging issue to maximize the service provider's profit and, on the other hand, meet the Quality of Service (QoS) requirements of users. Therefore, this paper proposes an admission control heuristic (ACH) approach that selects or rejects the requests based on budget, deadline, and penalty cost, i.e., those given by the user. Then a service level agreement (SLA) is created for each selected request. The proposed work uses Particle Swarm Optimization (PSO) and the Salp Swarm Algorithm (SSA) to schedule the selected requests under budget and deadline constraints. Performances of PSO and SSA with and without ACH are evaluated and compared using CloudSim. The simulation results prove that admission control maximizes profit by minimizing the number of task rejections and SLA violations. It also improves resource utilization while balancing makespan.

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Section: Literature Reviewmentioning

confidence: 99%

A Deadline-Budget Constrained Task Admission Control for a Software-as-a-Service Provider in Cloud Computing

Jain,

Sharma

2023

Iraqi Journal of Science

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Performance analysis of multi-core VMs hosting cloud SaaS applications

Kafhali

2018

Computer Standards & Interfaces

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Modeling and simulation of task rescheduling strategy with resource substitution in cloud manufacturing

Zhang¹,

Ren

2022

MBE

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<abstract> <p>When a cloud manufacturing environment extends to multi-user agent, multi-service agent and multi-regional spaces, the process of manufacturing services faces increased disturbances. When a task exception occurs because of disturbance, it is necessary to quickly reschedule the service task. We propose a multi-agent simulation modeling approach to simulate and evaluate the service process and task rescheduling strategy of cloud manufacturing, with which impact parameters can be achieved through careful study under different system disturbances. First, the simulation evaluation index is designed. In addition to the quality of service index of cloud manufacturing, the adaptive ability of task rescheduling strategy in response to a system disturbance is considered, and the flexibility of cloud manufacturing service index is proposed. Second, considering the substitution of resources, the internal and external transfer strategies of service providers are proposed. Finally, a simulation model of the cloud manufacturing service process of a complex electronic product is constructed by multi-agent simulation, and simulation experiments under multiple dynamic environments are designed to evaluate different task rescheduling strategies. The experimental results indicate that the external transfer strategy of the service provider in this case has higher quality of service and flexibility of service. Sensitivity analysis indicates that the matching rate of substitute resources for internal transfer strategy of service providers and the logistics distance of external transfer strategy of service providers are both sensitive parameters, which have significant impacts on the evaluation indexes.</p> </abstract>

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Task admission control policy in cloud server pools based on task arrival dynamics

Cited by 3 publications

References 17 publications

A Deadline-Budget Constrained Task Admission Control for a Software-as-a-Service Provider in Cloud Computing

A Deadline-Budget Constrained Task Admission Control for a Software-as-a-Service Provider in Cloud Computing

Performance analysis of multi-core VMs hosting cloud SaaS applications

Modeling and simulation of task rescheduling strategy with resource substitution in cloud manufacturing

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