Joint admission control and resource allocation in virtualized servers

Almeida, Jussara M.; Almeida, Virgílio A. F.; Ardagna, Danilo; Cunha, Ítalo; Francalanci, Chiara; Trubian, Marco

doi:10.1016/j.jpdc.2009.08.009

Cited by 93 publications

(77 citation statements)

References 27 publications

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“…Since in real Cloud systems, the run-time resource allocation is performed periodically on a hourly basis (see, e.g., (Almeida et al 2010, Armbrust et al 2009, Birke et al 2012)), we can state that the proposed method is very efficient and our solution is suitable to determine the resource provisioning of very large Cloud infrastructures compatibly with the problem time scales, without introducing any system overhead. Table 3 Average execution times and average number of best reply iterations of Algorithm 4.1…”

Section: Scalability Analysismentioning

confidence: 98%

Service Provisioning Problem in Cloud and Multi-Cloud Systems

Passacantando

Ardagna

Savi

2016

INFORMS Journal on Computing

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Cloud Computing is a new emerging paradigm that aims at streamlining the on-demand provisioning of resources as services, providing end-user with flexible and scalable services accessible through the Internet on a pay-per-use basis. Since modern Cloud systems operate in an open and dynamic world characterized by continuous changes, the development of efficient resource provisioning policies for Cloud-based services becomes increasingly challenging. This paper aims to study the hourly basis service provisioning problem through a generalized Nash game model. We take the perspective of SaaS (Software as a Service) providers which want to minimize the costs associated with the virtual machine instances allocated in a multi-IaaSs (Infrastructure as a Service) scenario, while avoiding incurring in penalties for requests execution failures and providing quality of service guarantees. SaaS providers compete and bid for the use of infrastructural resources, while the IaaSs want to maximize their revenues obtained providing virtualized resources.We propose a solution algorithm based on the best-reply dynamics, which is suitable for a distributed implementation. We demonstrate the effectiveness of our approach by performing numerical tests, considering multiple workloads and system configurations. Results show that our algorithm is scalable and provides significant cost savings with respect to alternative methods (5% on average but up to 260% for individual SaaS providers). Furthermore, varying the number of IaaS providers 8-15% cost savings can be achieved from the workload distribution on multiple IaaSs.

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Section: Scalability Analysismentioning

confidence: 98%

Service Provisioning Problem in Cloud and Multi-Cloud Systems

Passacantando

Ardagna

Savi

2016

INFORMS Journal on Computing

Self Cite

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“…Although the resource allocation is simplified, since they assume single tier web applications, VMs have predefined fixed capacity and are homogeneous in terms of resources (CPU, RAM). In [6], a joint admission control and resource allocation framework utilized queuing theory to capture systems dynamics. The two controllers were separated in two different optimization subproblems that were solved sequentially in an iterative fashion.…”

Section: Weaknessesmentioning

confidence: 99%

A control‐theoretic approach towards joint admission control and resource allocation of cloud computing services

et al. 2015

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Meeting the performance specifications of consolidated web services in a data center is a challenging research problem, since the control of the underlying cloud computing infrastructure must meet the Service Level Agreement (SLA) requirements and satisfy the system's constraints. In this article, we address the admission control and resource allocation problem jointly, by establishing a unified modeling and control framework. Convergence to a desired reference point and stability and feasibility of the control strategy are guaranteed, while achieving high performance of the co-hosted web applications. The efficacy of the proposed approach is illustrated in a real testbed.

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“…The network I/O provided to the virtual applications from the physical server is calculated by (Almeida et al, 2010),…”

Section: The Resources Requirement Of the Virtualization Servermentioning

confidence: 99%

Analysis of a Secure Virtual Desktop Infrastructure System

Yan

Tong

Jin

2015

International Journal of Digital Crime and Forensics

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With an increasing number of personal computers introduced in schools, enterprises and other large organizations, workloads of system administrators have been on the rise due to the issues related to energy costs, IT expenses, PC replacement expenditures, data storage capacity, and information security, etc. However, Application Virtualization (AV) has been proved as a successful cost-effective solution to solve these problems. In this paper, the analytics of a Virtual Desktop Infrastructure (VDI) system will be taken into consideration for a campus network. Our developed system will be introduced and justified. Furthermore, the rationality for these improvements will be introduced.

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Joint admission control and resource allocation in virtualized servers

Cited by 93 publications

References 27 publications

Service Provisioning Problem in Cloud and Multi-Cloud Systems

Service Provisioning Problem in Cloud and Multi-Cloud Systems

A control‐theoretic approach towards joint admission control and resource allocation of cloud computing services

Analysis of a Secure Virtual Desktop Infrastructure System

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