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共 707 条记录，以下是551-560 订阅

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Offer-based scheduling of deadline-constrained Bag-of-Tasks applications for utility computing systems

Offer-based scheduling of deadline-constrained Bag-of-Tasks ...

引用

International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Marco A. S. Netto Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

Metaschedulers can distribute parts of a bag-of-tasks (BoT) application among various resource providers in order to speed up its execution. When providers cannot disclose private information such as their load and computing power, which are usually heterogeneous, the metascheduler needs to make blind scheduling decisions. We propose three policies for composing resource offers to schedule deadline-constrained BoT applications. Offers act as a mechanism in which resource providers expose their interest in executing an entire BoT or only part of it without revealing their load and total computing power. We also evaluate the amount of information resource providers need to expose to the metascheduler and its impact on the scheduling. Our main findings are: (i) offer-based scheduling produces less delay for jobs that cannot meet deadlines in comparison to scheduling based on load availability (i.e. free time slots); thus it is possible to keep providers' load private when scheduling multi-site BoTs; and (ii) if providers publish their total computing power they can have more local jobs meeting deadlines.

关键词： Processor scheduling Computer applications Job shop scheduling Grid computing Cloud computing Application software Information resources Delay Biological system modeling Message passing

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High-Performance Cloud computing: A View of Scientific Applications

High-Performance Cloud Computing: A View of Scientific Appli...

引用

International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： Christian Vecchiola Suraj Pandey Rajkumar Buyya Cloud computing and Distributed Systems (CLOUDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed facilities such as clusters and super computers, which are difficult to setup, maintain, and operate. Cloud computing provides scientists with a completely new model of utilizing the computing infrastructure. Compute resources, storage resources, as well as applications, can be dynamically provisioned (and integrated within the existing infrastructure) on a pay per use basis. These resources can be released when they are no more needed. Such services are often offered within the context of a service level agreement (SLA), which ensure the desired quality of service (QoS). Aneka, an enterprise cloud computing solution, harnesses the power of compute resources by relying on private and public clouds and delivers to users the desired QoS. Its flexible and service based infrastructure supports multiple programming paradigms that make Aneka address a variety of different scenarios: from finance applications to computational science. As examples of scientific computing in the cloud, we present a preliminary case study on using Aneka for the classification of gene expression data and the execution of fMRI brain imaging workflow.

关键词： Cloud computing Quality of service Application software Scientific computing Availability Large-scale systems Context-aware services Finance Computer applications Gene expression

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A utility model for peering of multi-provider content delivery services

A utility model for peering of multi-provider content delive...

引用

Conference on Local Computer Networks (LCN)

作者： Mukaddim Pathan Rajkumar Buyya Grid Computing and Distributed Systems GRIDS Laboratory Department of Computer Science and Software Engineering University of Melbourne Parkville VIC Australia

Peering of Content Delivery Networks (CDNs) allow providers to rapidly scale-out to meet both flash crowds and anticipated increases in demand. Recent trends foster the need for a utility model for content delivery services to provide transparency, high availability, reduced investment cost, and improved content delivery performance. Analysis of prior work reveals only a modest progress in evaluating the utility for peering CDNs. In this paper, we introduce a utility model and measure the content-serving ability of the peering CDNs system. Our model assists in providing a customer view of the system's health for different traffic types. Our model also captures the traffic activities in the system and helps to reveal the true propensities of participating CDNs to cooperate in peering. Through extensive simulations we unveil many interesting observations on how the utility of the peering CDNs system is varied for different system parameters and provide incentives for their exploitation in the system design.

关键词： Costs Traffic control Investments Web server Computer networks Grid computing Laboratories Computer science software engineering Availability

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A Heuristic Approach for Capacity Control in Clouds

A Heuristic Approach for Capacity Control in Clouds

引用

IEEE International Conference on E-Commerce Technology Workshops

作者： Arun Anandasivam Stefan Buschek Rajkumar Buyya Institute for Information Systems and Management University of Karlsruhe Germany Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

ISBN: (纸本)9781424446469;9780769537559

Cloud resource providers in a market face dynamic and unpredictable consumer behavior. The way, how prices are set in a dynamic environment, can influence the demand behavior of price sensitive customers. A cloud resource provider has to decide on how to allocate his scarce resources in order to maximize his profit. The application of bid price control for evaluating incoming service requests is a common approach for capacity control in network revenue management. In this paper we introduce a customized version of the concept of self-adjusting bid prices and apply it to the area of cloud computing. Furthermore, we perform a simulation in order to test the efficiency of the proposed model.

关键词： Resource management Cloud computing Grid computing Consumer behavior Computational modeling Business Distributed computing Control systems Management information systems Conference management

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A distributed heuristic for decentralized workflow scheduling in global Grids

A distributed heuristic for decentralized workflow schedulin...

引用

International Workshop on Grid computing

作者： Mustafizur Rahman Rajiv Ranjan Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Service Oriented Computing Research Group School of Computer Science and Engineering University of New South Wales Australia

Efficient scheduling is a key concern for the effectual execution of performance driven Grid applications, such as workflows. Many list heuristics have been developed for scheduling workflows in centralized Grid environment. However, in this paper, we present a distributed list heuristic for decentralized scheduling of workflow applications in global Grids. The simulation results show that the proposed scheduling approach is scalable with respect to increased workload on the system.

关键词： Processor scheduling Grid computing Resource management Computer science Scheduling algorithm Laboratories software engineering Distributed computing Application software Peer to peer computing

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Dependable workflow scheduling in global Grids

Dependable workflow scheduling in global Grids

引用

International Workshop on Grid computing

In this paper, a reputation-based Grid workflow scheduling algorithm is proposed to counter the effect of inherent unreliability and temporal characteristics of computing resources in large scale, decentralized Grid overlays. The proposed approach builds upon structured peer-to-peer indexing and overlay networking techniques to create a scalable wide-area networking of Grid sites for supporting dependable scheduling of applications. The scheduling algorithm considers reliability of a Grid resource as a statistical property, which is globally computed in the decentralized Grid overlay based on dynamic feedbacks or reputation scores assigned by individual service consumers (Grid Resource Brokers). The proposed algorithm can dynamically adapt to changing resource conditions and offer significant performance gains as compared to traditional approaches in the event of unsuccessful job execution or resource failure. We evaluate and demonstrate the feasibility of our approach through an extensive trace driven simulation. The results show that our scheduling technique can reduce the makespan up to 50% and successfully isolate the failure-prone resources from the system.

关键词： Processor scheduling Scheduling algorithm Grid computing Counting circuits Large-scale systems Peer to peer computing Indexing Feedback Heuristic algorithms Performance gain

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Brain Image Registration Analysis Workflow for fMRI Studies on Global Grids

Brain Image Registration Analysis Workflow for fMRI Studies ...

引用

International Conference on Advanced Information Networking and Applications (AINA)

作者： Suraj Pandey William Voorsluys Musta?zur Rahman Rajkumar Buyya James Dobson Kenneth Chiu Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Department of Psychological & Brain Sciences Dartmouth College USA Grid Computing Research Laboratory Department of Computer Science State University of New York Binghamton NY USA

Scientific applications like neuroscience data analysis are usually compute and data-intensive. With the use of globally distributed resources and suitable middlewares, we can achieve much shorter execution time, distribute compute and storage load, and add greater flexibility to the execution of these scientific applications than we could ever achieve in a single compute *** this paper, we present the processing of image registration (IR) for functional magnetic resonance imaging(fMRI) studies on global grids. We characterize the application, list its requirements and transform it to a workflow. We then execute the application on Gridpsila5000 platform and present extensive performance results. We show that the IR application can have 1) significantly improved makespan, 2) distribution of compute and storage load among resources used, and 3) flexibility when executing multiple times on global Grids.

关键词： Brain Image registration Image analysis Distributed computing Grid computing Optical computing Image storage Neuroscience Data analysis Middleware

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A Heuristic for Mapping Virtual Machines and Links in Emulation Testbeds

A Heuristic for Mapping Virtual Machines and Links in Emulat...

引用

International Conference on Parallel Processing (ICPP)

作者： Rodrigo N. Calheiros Rajkumar Buyya César A.F. De Rose Pontifical Catholic University of Rio Grande do Sul Porto Alegre Brazil Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

Distributed system emulators provide a paramount platform for testing of network protocols and distributed applications in clusters and networks of workstations. However, to allow testers to benefit from these systems, it is necessary an efficient and automatic mapping of hundreds, or even thousands, of virtual nodes to physical hosts-and the mapping of the virtual links between guests to physical paths in the physical environment. In this paper we present a heuristic to map both virtual machines to hosts and virtual links between virtual machines to paths in the real system. We define the problem we are addressing, present the solution for it and evaluate it in different usage scenarios.

关键词： Virtual machining System testing Switches Grid computing Network topology Cloud computing software testing LAN emulation Wide area networks Parallel processing

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Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities

Modeling and simulation of scalable Cloud computing environm...

引用

International Conference on High Performance computing & Simulation (HPCS)

作者： Rajkumar Buyya Rajiv Ranjan Rodrigo N. Calheiros Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Department of Computer Science and Engineering University of New South Wales Sydney Australia Pontifical Catholic University of Rio Grande do Sul Porto Alegre Brazil

Cloud computing aims to power the next generation data centers and enables application service providers to lease data center capabilities for deploying applications depending on user QoS (Quality of Service) requirements. Cloud applications have different composition, configuration, and deployment requirements. Quantifying the performance of resource allocation policies and application scheduling algorithms at finer details in Cloud computing environments for different application and service models under varying load, energy performance (power consumption, heat dissipation), and system size is a challenging problem to tackle. To simplify this process, in this paper we propose CloudSim: an extensible simulation toolkit that enables modelling and simulation of Cloud computing environments. The CloudSim toolkit supports modelling and creation of one or more virtual machines (VMs) on a simulated node of a Data Center, jobs, and their mapping to suitable VMs. It also allows simulation of multiple Data Centers to enable a study on federation and associated policies for migration of VMs for reliability and automatic scaling of applications.

关键词： Computational modeling Cloud computing Power system modeling Voice mail Quality of service Resource management Scheduling algorithm Load modeling Energy consumption Virtual machining

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Improving citation mining

Improving citation mining

引用

International Conference on Networked Digital Technologies, NDT

作者： Muhammad Tanvir Afzal Wolf-Tilo Balke Hermann Maurer Narayanan Kulathuramaiyer Inst. f. Information Systems and Computer Media Graz University of Technology Austria Inst. f. Informationssysteme Technische Universitäat Braunschweig Germany Department of Computing & Software Engineering Universiti Malaysia Sarawak Malaysia

In recent years the number of citations a paper is receiving is seen more and more (maybe too much so) as an important indicator for the quality of a paper, the quality of researchers, the quality of journals, etc. Based on the number of citations a scholar has received over his lifetime or over the last few years various measures have been introduced. The number of citations (often without counting self-citations or citations from ldquominorrdquo sources, in whatever way this may be defined), or some measurement based on the number of citations (like the h- or the g-factor) are being used to evaluate scholars; the citation index of a journal (again with a variety of parameters) is seen as measuring the impact of the journal, and hence the importance one assigns to publications there, etc. The number of measurements based on citation numbers is steadily increasing, and their definition has become a science in itself. However, they all rest on finding all relevant citations. Thus, ldquocitation mining toolsrdquo used for the ISI Web of Knowledge, the Citeseer citation index, Google scholar or software such as the *** software based on Google scholar, etc., are the critical starting points for all measurement efforts. In this paper we show that the current citation mining techniques do not discover all relevant citations. We propose a technique that increases accuracy substantially and show numeric evaluations for one typical journal. It is clear that in the absence of very reliable citation mining tools all current measurements based on citation counting should be considered with a grain of salt.

关键词： Intersymbol interference Data mining Information systems software tools Databases Indexing Paper technology software engineering software measurement Current measurement

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