Power-aware provisioning of Cloud resources for real-time services

Kim, Kyong Hoon; Beloglazov, Anton; Buyya, Rajkumar

doi:10.1145/1657120.1657121

Cited by 138 publications

(81 citation statements)

References 20 publications

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“…In the case of CloudSim [4], several research articles have been published with results obtained by using it [2,5,6,15]. This tool was initially based on a Grid simulator [4] (this being GridSim [27]).…”

Section: Introductionmentioning

confidence: 99%

“…Some examples of these public clouds are ElasticHosts 1 and Amazon's Elastic Compute Cloud. 2 In order to develop new proposals aimed at different topics related to clouds (for example, datacenter management [2], or provision of resources [15]), a lot of work and money is required to set up an adequately-sized testbed including different data centers from different organizations and public cloud providers. Even if automated tools exist to do this work, it would still be very difficult to produce performance evaluation in a repeatable and controlled manner, due to the inherent variability of the cloud.…”

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confidence: 99%

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iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator

et al. 2012

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Simulation techniques have become a powerful tool for deciding the best starting conditions on pay-as-you-go scenarios. This is the case of public cloud infrastructures, where a given number and type of virtual machines (in short VMs) are instantiated during a specified time, being this reflected in the final budget. With this in mind, this paper introduces and validates iCanCloud, a novel simulator of cloud infrastruc-tures with remarkable features such as flexibility, scalability, performance and usability. Further-more, the iCanCloud simulator has been built on the following design principles: (1) it's targeted to conduct large experiments, as opposed to oth-ers simulators from literature; (2) it provides a flexible and fully customizable global hypervisor for integrating any cloud brokering policy; (3) it reproduces the instance types provided by a given cloud infrastructure; and finally, (4) it contains a user-friendly GUI for configuring and launching simulations, that goes from a single VM to large cloud computing systems composed of thousands of machines.Keywords Cloud computing · Cloud computing simulator · Cloud hypervisor · Validation · Scalability 1 to solve a given computational problem. If the same software and configurations are needed, the VMs may be started using the same image. This way, a machine offered by a computing cloud may become whatever the user needs, from a standalone computer to a cluster or Grid node.Nowadays, cloud computing systems are increasing their role due to the fast (r)evolution of computer networks and communication technologies. A very clear proof of this fact is that very important companies like Amazon, Google, Dell, IBM, and Microsoft are investing billions of dollars in order to provide their own cloud solutions [28].As soon as the scientific community had access to cloud production infrastructures, the first applications started to run on the cloud [26,34]. In many Research areas, the leap from traditional cluster and Grid computing to this new paradigm has been mandatory, being the main reason an evolution in the computational needs of the applications [10]. A remarkable fact from this evolution is that in a pre-cloud environment, hardware defines the level of parallelism of an application. In cloud computing, the level of parallelism is defined by the application itself, as there is no restriction in the number of machines, and CPU availability is 100% guaranteed by standard.There

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator

et al. 2012

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“…Yu et al [6] propose a distributed scalable infrastructure for supporting real-time video streams. Also related to cloud computing for real-time systems is the work done by Kim, Beloglazov and Buyya [7], whom analyse power-aware virtual machines architectures with a focus on the optimization of power consumption based on the requirements of a SLA. The QoS requirements are enforced by a Real-time model that uses release time, worst-case execution time, relative deadline, period of service use and finish time as parameters to calculate virtual machine requirements and scheduling tasks.…”

Section: Clouds and Real-time Qosmentioning

confidence: 99%

Platform-as-a-Service Architecture for Real-Time Quality of Service Management in Clouds

Boniface

Nasser

Papay

et al. 2010

2010 Fifth International Conference on Internet and Web Applications and Services

115

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-Cloud computing offers the potential to dramatically reduce the cost of software services through the commoditization of information technology assets and ondemand usage patterns. However, the complexity of determining resource provision policies for applications in such complex environments introduces significant inefficiencies and has driven the emergence of a new class of infrastructure called Platform-as-a-Service (PaaS). In this paper, we present a novel PaaS architecture being developed in the EU IST IRMOS project targeting real-time Quality of Service (QoS) guarantees for online interactive multimedia applications. The architecture considers the full service lifecycle including service engineering, service level agreement design, provisioning and monitoring. QoS parameters at both application and infrastructure levels are given specific attention as the basis for provisioning policies in the context of temporal constraints. The generic applicability of the architecture is being verified and validated through implemented scenarios from three important application sectors (film post-production, virtual augmented reality for engineering design, collaborative e-Learning in virtual worlds).

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“…Current work concerning Real Time Cloud Computing mainly concentrates on 2 domains: adopting existing web technologies to this new paradigm and developing software architectures for real-time applications. Recent studies [11]- [14] have been performed on the allocation of resources for real time tasks. Aymerich et al [11] developed an infrastructure for a real-time financial system based on cloud computing technologies.…”

Section: Introductionmentioning

confidence: 99%

“…Tsai et al [13] discuss about a real-time database partitioning on cloud infrastructures. Kim et al [14] investigate power-aware provisioning of resources for real-time cloud services. In their work the real-time constraint is specified in a Service Level Agreement (SLA) between customers and cloud providers.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Real Time Distributed Applications for Cloud Computing

Deniziak

Bak

2014

Annals of Computer Science and Information Systems

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Abstract-This paper presents the methodology for the synthesis of real-time applications for the Infrastructure as a Service (IaaS) model of cloud computing. We assume that the function of the application is specified as a set of distributed echo algorithms with real-time constraints. Then our methodology schedules all tasks on available cloud infrastructure minimizing the total costs of the IaaS services, while satisfying all real-time requirements. It takes into account limited bandwidth of communication channels as well as the limited computation power of server nodes. The optimization is based on the iterative improvement algorithm, which has the capability of escaping from the local extrema, giving better results than greedy algorithms. The method starts from the fastest solution and in the next steps modifies the solution to reduce the cost of hiring the cloud infrastructure. We also present a sample application, that shows the benefits of using our methodology.

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Power-aware provisioning of Cloud resources for real-time services

Cited by 138 publications

References 20 publications

iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator

iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator

Platform-as-a-Service Architecture for Real-Time Quality of Service Management in Clouds

Synthesis of Real Time Distributed Applications for Cloud Computing

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