SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments

Wu, Linlin; Garg, Saurabh; Buyya, Rajkumar

doi:10.1016/j.jcss.2011.12.014

Cited by 190 publications

(91 citation statements)

References 29 publications

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“…Wu e colaboradores [20] propõem um algoritmo de controle de admissão e escalonamento para que os provedores de SaaS possam utilizar de maneira eficaz os recursos e maximizar seus lucros, além de reduzir os custos e melhorar a satisfação dos clientes. Nesse trabalho, foram apresentadas quatro estratégias para avaliar se uma requisição pode ou não ser atendida de maneira a garantir a QoS estipulada.…”

Section: Trabalhos Relacionadosunclassified

An Analysis of Optimization Algorithms designed to fully comply with SLA in Cloud Computing

Nakamura

Azevedo

Batista

et al. 2017

IEEE Latin Am. Trans.

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Abstract-Nowadays the access to a cloud computing environment is provided on-demand offering transparent services to customers. Although the cloud allows an abstraction of the behavior of the service providers in the infrastructure (involving logical and physical resources), it remains a challenge to fully comply with the Service Level Agreements (SLAs), because, depending on the service demand and system configuration, the providers may not be able to meet the requirements of the customers. There is a need for mechanisms that take account of load balancing algorithms to provide an efficient load distribution with the available resources. However, the studies in the literature do not effectively address the problem of the availability of resources to meet customers' requirements with analysis restricted to a limited set of objectives. This paper proposes algorithms to address the need for optimization when handling computational resources during the execution time. The methods optimize the efficient use of the resources available in the infrastructure aiming to comply with the service level agreements defined between client and provider.

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Section: Trabalhos Relacionadosunclassified

An Analysis of Optimization Algorithms designed to fully comply with SLA in Cloud Computing

Nakamura

Azevedo

Batista

et al. 2017

IEEE Latin Am. Trans.

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“…Revenue-based systems are also becoming increasingly important in software systems, spanning from middlewares for web-service composition to software-as-a-service applications which differentiate performance across customers depending on their subscription model [20,26,42].…”

Section: Related Workmentioning

confidence: 99%

Heavy-traffic revenue maximization in parallel multiclass queues

Anselmi

Casale

2013

Performance Evaluation

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Motivated by revenue maximization in server farms with admission control, we investigate optimal scheduling in parallel processor-sharing queues. Incoming customers are distinguished in multiple classes and we define revenue as a weighted sum of class throughputs. Under these assumptions, we describe a heavy-traffic limit for the revenue maximization problem and study the asymptotic properties of the optimization model as the number of clients increases. Our main result is a simple heuristic that is able to provide tight guarantees on the optimality gap of its solutions. In the general case with M queues and R classes, we prove that our heuristic is (1 + 1 M −1 )-competitive in heavy-traffic. Experimental results indicate that the proposed heuristic is remarkably accurate, despite its negligible computational costs, both in random instances and using service rates of a web application measured on multiple cloud deployments. 1

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“…Some elasticity managements [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] applied one or the combination of vertical scaling (resizing a VM) and horizontal scaling (adding/deleting VMs) to provide the mapping between elastic applications and VMs leased from a public cloud for minimizing the rent cost in the perspective of cloud users. While they do not consider the placement of VMs on PMs, which is critical for improving energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

Server Consolidation for Internet Applications in Virtualized Data Centers

Wang

Song²,

Sun³

et al. 2016

24th High Performance Computing Symposium

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Server consolidation based on virtualization technology simplifies system administration and improves energy efficiency by improving resource utilizations and reducing the physical machine (PM) number in contemporary service-oriented data centers. The elasticity of Internet applications changes the consolidation technologies from addressing virtual machines (VMs) to PMs mapping schemes which must know the VMs statuses, i.e. the number of VMs and the profiling data of each VM, into providing the application-to-VM-to-PM mapping. In this paper, we study on the consolidation of multiple Internet applications, minimizing the number of PMs with required performance. We first model the consolidation providing the application-to-VM-to-PM mapping to minimize the number of PMs as an integer linear programming problem, and then present a heuristic algorithm to solve the problem in polynomial time. Extensive experimental results show that our heuristic algorithm consumes less than 4.3% more resources than the optimal amounts with few overheads. Existing consolidation technologies using the input of the VM statuses output by our heuristic algorithm consume 1.06% more PMs.

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SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments

Cited by 190 publications

References 29 publications

An Analysis of Optimization Algorithms designed to fully comply with SLA in Cloud Computing

An Analysis of Optimization Algorithms designed to fully comply with SLA in Cloud Computing

Heavy-traffic revenue maximization in parallel multiclass queues

Server Consolidation for Internet Applications in Virtualized Data Centers

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