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Shared resource

About: Shared resource is a research topic. Over the lifetime, 7536 publications have been published within this topic receiving 123491 citations. The topic is also known as: network share.


Papers
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Proceedings Article
13 Sep 2005
TL;DR: This article presents a framework intended to help developers in the task of designing dynamically adaptable (but not fault-tolerant) components and puts the emphasis on an experimental evaluation of the cost of using such a framework.
Abstract: The emergence of dynamic execution environments such as Grids forces applications to take dynamicity into account. Whereas sudden resource disappearance can be handled thanks to fault-tolerance techniques, these approaches are usually not well suited when resource disappearance is announced in advance. However, this case occurs in particular for resource preemption due to resource sharing or maintenance operations. Similarly, fault-tolerance techniques commonly do not take into account resource appearance. On the other side, dynamic adaptation covers techniques for handling changes in the execution environment. This article presents a framework intended to help developers in the task of designing dynamically adaptable (but not fault-tolerant) components. This article puts the emphasis on an experimental evaluation of the cost of using such a framework.

52 citations

Journal ArticleDOI
TL;DR: In this article, a virtualized GPU resource adaptive scheduling algorithm for cloud games is proposed, which interposes scheduling algorithms in the graphics API of the operating system, and hence the host graphic driver or the guest operating system remains unmodified.
Abstract: As the virtualization technology for GPUs matures, cloud gaming has become an emerging application among cloud services. In addition to the poor default mechanisms of GPU resource sharing, the performance of cloud games is inevitably undermined by various runtime uncertainties such as rendering complex game scenarios. The question of how to handle the runtime uncertainties for GPU resource sharing remains unanswered. To address this challenge, we propose vGASA, a virtualized GPU resource adaptive scheduling algorithm in cloud gaming. vGASA interposes scheduling algorithms in the graphics API of the operating system, and hence the host graphic driver or the guest operating system remains unmodified. To fulfill the service level agreement as well as maximize GPU usage, we propose three adaptive scheduling algorithms featuring feedback control that mitigates the impact of the runtime uncertainties on the system performance. The experimental results demonstrate that vGASA is able to maintain frames per second of various workloads at the desired level with the performance overhead limited to 5-12 percent.

52 citations

Journal ArticleDOI
TL;DR: Simulation results show that 80% of the telecommunication cost is saved with as few as six peers, and with support from the servers in the internet, peers receive benefits of reduced telecommunication bandwidth, computation power, as well as several security features.
Abstract: Summary This paper provides a scheme to reduce the cost to distribute multimedia content to a set of nearby mobile peers, which we call chums. One peer, called the proxy, downloads multimedia content via a telecommunication link, and distributes it (which we call chumcast) to the ad hoc network formed from the set of nearby peers. Each peer in the ad hoc network takes turns serving as a proxy. Every peer is associated with a server that resides in the internet. The server for the proxy, called the active server, manages peer information, schedules the next proxy, selects a set of rebroadcasting peers, and detects partitioning of the ad hoc network. With support from the servers in the internet, peers receive benefits of reduced telecommunication bandwidth, computation power, as well as several security features. Simulation results show that 80% of the telecommunication cost is saved with as few as six peers. Copyright # 2005 John Wiley & Sons, Ltd.

52 citations

Journal ArticleDOI
TL;DR: New security architecture for cloud computing platform is proposed that ensures secure communication system and hiding information from others and can be easily applied with main cloud computing features, e.g. PaaS, SaaS and IaaS.
Abstract: The cloud computing platform gives people the opportunity for sharing resources, services and information among the people of the whole world. In private cloud system, information is shared among the persons who are in that cloud. For this, security or personal information hiding process hampers. In this paper we have proposed new security architecture for cloud computing platform. This ensures secure communication system and hiding information from others. AES based file encryption system and asynchronous key system for exchanging information or data is included in this model. This structure can be easily applied with main cloud computing features, e.g. PaaS, SaaS and IaaS. This model also includes onetime password system for user authentication process. Our work mainly deals with the security system of the whole cloud computing platform.

52 citations

Patent
20 Dec 2011
TL;DR: In this paper, a system specification file transmitted over the network specifies the computer system image by specifying components of the image, which include an operating system and at least one resource, and a signature associated with the resource.
Abstract: A computer system image is executed on a computing node over a network. A system specification file transmitted over the network specifies the computer system image by specifying components of the computer system image. The components include an operating system and at least one resource. The system specification file also contains a signature associated with the resource. A resource is determined to be authorized to be incorporated into the computer system image by verifying the signature. A computer system image can then be formed based on the components specified by the system specification file and executed locally.

51 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202381
2022194
2021223
2020298
2019381
2018373