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Machine learning based online performance prediction for runtime parallelization and task scheduling

Machine learning based online performance prediction for run...

引用

International Symposium on Performance Analysis of systems and software, ISPASS 2009

作者： Li, Jiangtian Ma, Xiaosong Singh, Karan Schulz, Martin De Supinski, Bronis McKee, Sally A. Dept. of Computer Science North Carolina State University Raleigh NC 27606 United States Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN 37831 United States Computer Systems Laboratory Cornell University Ithaca NY 14850 United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA 94550 United States Department of Computer Science and Engineering Chalmers University of Technology Göteborg Sweden

ISBN: (纸本)9781424441846

With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as well as developing next-generation software requires assistance from hardware, compilers and runtime systems to exploit parallelism transparently within applications. These systems must decompose applications into tasks that can be executed in parallel and then schedule those tasks to minimize load imbalance. However, many systems lack a priori knowledge about the execution time of all tasks to perform effective load balancing with low scheduling overhead. In this paper, we approach this fundamental problem using machine learning techniques first to generate performance models for all tasks and then applying those models to perform automatic performance prediction across program executions. We also extend an existing scheduling algorithm to use generated task cost estimates for online task partitioning and scheduling. We implement the above techniques in the pR framework, which transparently parallelizes scripts in the popular R language, and evaluate their performance and overhead with both a realworld application and a large number of synthetic representative test scripts. Our experimental results show that our proposed approach significantly improves task partitioning and scheduling, with maximum improvements of 21.8%, 40.3% and 22.1% and average improvements of 15.9%, 16.9% and 4.2% for LMM (a real R application) and synthetic test cases with independent and dependent tasks, respectively. © 2009 IEEE.

关键词： Scheduling algorithms

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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...

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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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TinyBee: Mobile-Agent-Based Data Gathering System in Wireless Sensor Networks

TinyBee: Mobile-Agent-Based Data Gathering System in Wireles...

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International Conference on Networking, Architecture, and Storage (NAS)

作者： Kaoru Ota Mianxiong Dong Xiaolin Li School of Computer Science and Engineering University of Aizu Fukushima Japan Scalable Software Systems Laboratory Computer Science Department Oklahoma State University Stillwater OK USA

This paper proposes a mobile-agent-based data gathering system (called TinyBee) in wireless sensor networks. Most existing mobile-agent-based systems consider only static sinks/servers. In this paper, we consider both mobile servers and lightweight mobile agents. We aim to design a data gathering system using a special kind of mobile agent called TinyBee to collect data all over a network. TinyBee migrates from node to node after being dispatched from a mobile server in order to collect data so that physical movement of mobile servers is greatly reduced. Mobile-agent-based approaches outperform traditional client/server paradigms in terms of execution time and power consumption. Extensive simulation results demonstrate that our proposed schemes achieve significant performance gains.

关键词： Wireless sensor networks Network servers Mobile agents computer networks computer science Energy consumption Routing Sensor systems computer architecture Data engineering

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Using Quality Audits to Assess software Course Projects

Using Quality Audits to Assess Software Course Projects

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Conference on software engineering Education & Training (CSEE&T)

作者： Wilson Pádua Synergia Systems and Software Engineering Laboratory Computer Science Department Federal University of Minas Gerais Belo Horizonte Minas Gerais Brazil

Assessing software engineering course projects should evaluate the achievement of proposed goals, as well as the compliance with mandated standards and processes. This might require the examination of a significant volume of materials, following a consistent, repetitive and effective procedure, even for small projects. Quality assurance must be performed according to similar requirements. This paper discusses the use of quality audits, a comprehensive quality assurance procedure, as a tool for the assessment of course projects.

关键词： software quality Quality assurance Appraisal Automatic testing software engineering Feedback System testing software standards Inspection software testing

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A Heuristic Approach for Capacity Control in Clouds

A Heuristic Approach for Capacity Control in Clouds

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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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Reports of the AAAI 2009 spring symposia

Reports of the AAAI 2009 spring symposia

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作者： Bao, Jie Bojars, Uldis Choudhury, Tanzeem Ding, Li Greaves, Mark Kapoor, Ashish Louchart, Sandy Mehta, Manish Nebel, Bernhard Nirenburg, Sergei Oates, Tim Roberts, David L. Sanfilippo, Antonio Stojanovic, Nenad Stubbs, Kristen Thomaz, Andrea L. Tsui, Katherine Woelfl, Stefan Tetherless World Constellation Rensselaer Polytechnic Institute United States Social Software Unit of DERI Galway Ireland Computer Science Department Dartmouth College United States Knowledge Systems at Vulcan Inc United States Adaptive Systems and Interaction Group Microsoft Research Redmond United States School for Mathematics and Computer Sciences Heriot-Watt University United Kingdom School ot Interactive Computing Georgia Institute of Technology United States Department of Computer Science University of Freiburg Germany Computer Science and Electrical Engineering Department University of Maryland Baltimore County United States Pacific Northwest National Laboratory Richland WA United States University of Karlsruhe Germany IRobot Corporation United States University of Massachusetts Lowell United States

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's department of computer science, was pleased to present the 2009 Spring Symposium Series, held Monday through Wednesday, March 23-25, 2009, at Stanford University. The titles of the nine symposia were Agents That Learn from Human Teachers, Benchmarking of Qualitative Spatial and Temporal Reasoning systems, Experimental Design for Real- World systems, Human Behavior Modeling, Intelligent Event Processing, Intelligent Narrative Technologies II, Learning by Reading and Learning to Read, Social Semantic Web: Where Web 2.0 Meets Web 3.0, and Technosocial Predictive Analytics. The goal of the Agents That Learn from Human Teachers symposium was to investigate how we can enable software and robotics agents to leam from real-time interaction with an everyday human partner. The aim of the Benchmarking of Qualitative Spatial and Temporal Reasoning systems symposium was to initiate the development of a problem repository in the field of qualitative spatial and temporal reasoning and identify a graded set of challenges for future midterm and long-term research. The Experimental Design symposium discussed the challenges of evaluating AI systems. The Human Behavior Modeling symposium explored reasoning methods for understanding various aspects of human behavior, especially in the context of designing intelligent systems that interact with humans. The Intelligent Event Processing symposium discussed the need for more Al-based approaches in event pro-cessing and defined a kind of research agenda for the field, coined as intelligent complex event processing (iCEP). The Intelligent Narrative Technologies IIAAAI symposium discussed innovations, progress, and novel techniques in the research domain. The Learning by Reading and Learning to Read symposium explored two aspects of making natural language texts semantically accessible to, and processable by, machines. The Social Semantic

关键词： Benchmarking

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A distributed heuristic for decentralized workflow scheduling in global Grids

A distributed heuristic for decentralized workflow schedulin...

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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

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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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A Skipping SvS Intersection Algorithm

A Skipping SvS Intersection Algorithm

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International Conference on Computing, engineering and Information, ICC

作者： Jaratdech Chatchaval Veera Boonjing Pisit Chanvarasuth Software Systems Engineering Laboratory Mathematics and Computer Science Department Faculty of Science King Mongkut''s Institute of Technology Ladkrabang Thailand School of Management Technology Sirindhorn International Institute of Technology Thammasat University Pathum Thani Thailand

In this paper, we propose to improve the SvS algorithm by skipping elements of the smaller set for reducing a search boundary. The boundary of skipped element is determined by boundaries of elements prior to and next to it. We perform experiments on uniformly distributed random datasets to compare our algorithm with the standard SvS. We use regression analysis to get an equation for determining an appropriate skipping number. Our results show that the skipping SvS algorithm using the equation obtained can reduce approximately 41% on the number of comparisons of the standard SvS algorithm.

关键词： Equations software algorithms software systems systems engineering and theory Laboratories mathematics computer science Conference management Technology management engineering management

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Brain Image Registration Analysis Workflow for fMRI Studies on Global Grids

Brain Image Registration Analysis Workflow for fMRI Studies ...

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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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