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检索条件"机构=Computer Engineering and Software Systems Department"

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Service Level Agreement based Allocation of Cluster Resources: Handling Penalty to Enhance Utility

Service Level Agreement based Allocation of Cluster Resource...

引用

IEEE International Conference on Cluster Computing

作者： Chee Shin Yeo Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia

Jobs submitted into a cluster have varying requirements depending on user-specific needs and expectations. Therefore, in utility-driven cluster computing, cluster resource management systems (RMSs) need to be aware of these requirements in order to allocate resources effectively. Service level agreements (SLAs) can be used to differentiate different value of jobs as they define service conditions that the cluster RMS agrees to provide for each different job. The SLA acts as a contract between a user and the cluster whereby the user is entitled to compensation whenever the cluster RMS fails to deliver the required service. In this paper, we present a proportional share allocation technique called LibraSLA that takes into account the utility of accepting new jobs into the cluster based on their SLA. We study how LibraSLA performs with respect to several SLA requirements that include: (i) deadline type whether the job can be delayed, (ii) deadline when the job needs to be finished, (iii) budget to be spent for finishing the job, and (iv) penalty rate for compensating the user for failure to meet the deadline

关键词： Resource management Grid computing Quality of service Delay Finishing Admission control Laboratories computer science software engineering Contracts

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Cost-based scheduling for data-intensive applications on global grids 05

Cost-based scheduling for data-intensive applications on glo...

引用

International Symposium on High Performance Distributed Computing

作者： S. Venugopal R. Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

We present an algorithm for scheduling distributed data intensive bag-of-task applications on data grids that have costs associated with requesting, transferring and processing datasets. We evaluate the algorithm on a... 详细信息

ISBN: (纸本)9780780390379

关键词： Processor scheduling Costs Grid computing Application software Physics computer networks Laboratories computer science software engineering Testing

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Critical-path and priority based algorithms for scheduling workflows with parameter sweep tasks on global grids

Critical-path and priority based algorithms for scheduling w...

引用

International Symposium on computer Architecture and High Performance Computing (SBAC-PAD)

作者： Tianchi Ma R. Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

Parameter-sweep has been widely adopted in large numbers of scientific applications. Parameter-sweep features need to be incorporated into grid workflows so as to increase the scale and scope of such applications. New scheduling mechanisms and algorithms are required to provide optimized policy for resource allocation and task arrangement in such a case. This paper addresses scheduling sequential parameter-sweep tasks in a fine-grained manner. The optimization is produced by pipelining the subtasks and dispatching each of them onto well-selected resources. Two types of scheduling algorithms are discussed and customized to adapt the characteristics of parameter-sweep, as well as their effectiveness has been compared under multifarious scenarios.

关键词： Scheduling algorithm Application software Sensor arrays Grid computing Filtering Data visualization Processor scheduling Resource management Laboratories computer science

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Cost-based scheduling of scientific workflow applications on utility grids

Cost-based scheduling of scientific workflow applications on...

引用

IEEE International Conference on e-Science and Grid Computing

作者： Jia Yu R. Buyya Chen Khong Tham Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia Department of Electrical and Computer Engineering National University of Singapore Singapore

Over the last few years, grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models. Users consume these services based on their QoS (quality of service) requirements. In such "pay-per-use" grids, workflow execution cost must be considered during scheduling based on users' QoS constraints. In this paper, we propose a cost-based workflow scheduling algorithm that minimizes execution cost while meeting the deadline for delivering results. It can also adapt to the delays of service executions by rescheduling unexecuted tasks. We also attempt to optimally solve the task scheduling problem in branches with several sequential tasks by modeling the branch as a Markov decision process and using the value iteration method

关键词： Optimal scheduling Processor scheduling Scheduling algorithm Workflow management software Grid computing Quality of service Costs computer networks Time factors Delay

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Wireless and wearable overview: stages of growth theory in medical technology applications

Wireless and wearable overview: stages of growth theory in m...

引用

International Conference on Mobile Business (ICMB)

作者： P. Ooi G. Culjak E. Lawrence Department of Software Engineering University of Technology Sydney Australia Department of Information Systems University of Technology Sydney Australia Department of Computer Systems University of Technology Sydney Australia

Mobile medical applications have the capacity to provide services for patients and healthcare professionals regardless of time or place. The aim of this paper is to explore the current status of mobile, wireless and wearable technological applications within the medical environment. After conducting a literature review on the availability of mobile, wireless and wearable computing applications within medicine, a summary of their purpose, features and functions was conceptually mapped to the Gibson and Nolan (1974) Stages of Growth Framework. Findings from the literature, the mapping process and limitations for growth are discussed within each of the technology categories. Limitations and challenges of development are highlighted and suggestions are made for future research.

关键词： Medical services Costs Application software Mobile computing Wireless sensor networks Information systems Wearable computers Biomedical equipment software engineering Telemedicine

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An online control framework for designing self-optimizing computing systems: Application to power management

引用

作者： Kandasamy, Nagarajan Abdelwahed, Sherif Sharp, Gregory C. Hayes, John P. Electrical and Computer Engineering Deptartment Drexel University Philadelphia PA 19104 United States Institute for Software Integrated Systems Vanderbilt University Nashville TN 37212 United States Harvard Medical School Massachusetts General Hospital Boston MA 02114 United States Electrical and Computer Engineering Department University of Michigan Ann Arbor MI 48109 United States

ISBN: (纸本)3540260099

computer systems hosting critical e-commerce applications must typically satisfy stringent quality-of-service (QoS) requirements under dynamic operating conditions and workloads. Also, as such systems increase in size and complexity, maintaining the desired QoS by manually tuning the numerous performance-related parameters will become very difficult. This paper addresses the design of self-optimizing computer systems using a generic online control framework in which the control actions governing the operation of the system are obtained by optimizing its behavior, as forecast by a mathematical model, over a limited time horizon. As a specific application of this control technique, we show how to minimize the power consumed by a processor while satisfying the QoS requirements of a time-varying workload. We describe the processor model, formulate the power management problem, and derive the online control algorithm. The performance of the controller is evaluated using representative e-commerce workloads. © Springer-Verlag Berlin Heidelberg 2005.

关键词： computer systems

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Hybrid supervisory utilization control of real-time systems

Hybrid supervisory utilization control of real-time systems

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IEEE Symposium on Real-Time and Embedded Technology and Applications

作者： X. Koutsoukos R. Tekumalla B. Natarajan C. Lu Institute for Software Integrated Systems Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA Department of Computer Science and Engineering Washington University Saint Louis MO USA

Feedback control real-time scheduling (FCS) aims at satisfying performance specifications of real-time systems based on adaptive resource management. Existing FCS algorithms often rely on the existence of continuous control variables in real-time systems. A number of real-time systems, however, support only a finite set of discrete configurations that limit the adaptation mechanisms. This paper presents hybrid supervisory utilization control (HySUCON) for scheduling such real-time systems. HySUCON enforces processor utilization bounds by managing the switchings between the discrete configurations. Our approach is based on a best-first-search algorithm that is invoked only if reconfiguration is necessary. Theoretical analysis and simulations demonstrate that the approach leads to robust utilization bounds for varying execution times. Experimental results demonstrate the algorithm performance for a representative application scenario.

关键词： Control systems Real time systems Feedback control Adaptive systems Programmable control Adaptive control Resource management Processor scheduling Analytical models Robustness

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A time optimization algorithm for scheduling bag-of-task applications in auction-based proportional share systems

A time optimization algorithm for scheduling bag-of-task app...

引用

International Symposium on computer Architecture and High Performance Computing (SBAC-PAD)

作者： A. Sulistio R. Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Carlton VIC Australia

Grid and peer-to-peer (P2P) network technologies enable aggregation of distributed resources for solving large-scale and computationally-intensive applications. These technologies are well-suited for bag-of-tasks (BoT) applications, because each application consists of many parallel and independent tasks. With multiple users competing for the same resources, the key challenge is to finish a user application within a specified deadline. In this paper, we propose a time optimization algorithm that schedules a user application on auction-based resource allocation systems. These allocation systems, which are based on proportional share, allow users to bid higher in order to gain more resource shares. Therefore, this algorithm adjusts a user bid periodically on these systems in order to finish the application on time.

关键词： Scheduling algorithm Application software Resource management Peer to peer computing Processor scheduling Grid computing computer applications Large-scale systems computer networks Distributed computing

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The use of optimal filters to track parameters of performance models

The use of optimal filters to track parameters of performanc...

引用

International Conference on the Quantitative Evaluation of systems (QEST)

作者： M. Woodside Tao Zheng M. Litoiu Department of Systems and Computer Engineering Carleton University Ottawa Canada Centre for Advanced Studies IBM Toronto Software Laboratory Canada

Autonomic computer systems react to changes in the system, including failures, load changes, and changed user behaviour. Autonomic control may be based on a performance model of the system and the software, which implies that the model should track changes in the system. A substantial theory of optimal tracking filters has a successful history of application to track parameters while integrating data from a variety of sources, an issue which is also relevant in performance modeling. This work applies extended Kalman filtering to track the parameters of a simple queueing network model, in response to a step change in the parameters. The response of the filter is affected by the way performance measurements are taken, and by the observability of the parameters.

关键词： Application software Quality of service Predictive models Monitoring systems engineering and theory software performance software systems Kalman filters Filtering Control systems

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A retraining methodology for enhancing agent intelligence

A retraining methodology for enhancing agent intelligence

引用

International Conference on Integration of Knowledge Intensive Multi-Agent systems (KIMAS)

作者： P.A. Mitkas A.L. Symeonidis I.N. Athanasiadis Intelligent Systems and Software Engineering Laboratory Informatics and Telematics Institute CERTH Thessaloniki Greece Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

Data mining has proven a successful gateway for discovering useful knowledge and for enhancing business intelligence in a range of application fields. Incorporating this knowledge into already deployed applications, though, is highly impractical, since it requires reconfigurable software architectures, as well as human expert consulting. In an attempt to overcome this deficiency, we have developed agent academy, an integrated development framework that supports both design and control of multiagent systems (MAS), as well as agent training. We define agent training as the automated incorporation of logic structures generated through data mining into the agents of the system. The increased flexibility and cooperation primitives of MAS, augmented with the training and retraining capabilities of agent academy, provide a powerful means for the dynamic exploitation of data mining extracted knowledge. In this paper, we present the methodology and tools for agent retraining. Through experimental results with the agent academy platform, we demonstrate how the extracted knowledge can be formulated and how retraining can lead to the improvement - in the long run - of agent intelligence.

关键词： Intelligent agent Delta modulation Data mining Humans Companies Application software software architecture Multiagent systems Reconfigurable logic Collaborative software

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