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Maximizing Service Uptime of Smartphone-Based distributed Real-Time and Embedded systems

Maximizing Service Uptime of Smartphone-Based Distributed Re...

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international symposium on Object-Oriented Real-Time distributed Computing

作者： Anushi Shah Kyoungho An Aniruddha Gokhale Jules White Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

Smart phones are starting to find use in mission critical applications, such as search-and-rescue operations, wherein the mission capabilities are realized by deploying a collaborating set of services across a group of smart phones involved in the mission. Since these missions are deployed in environments where replenishing resources, such as smart phone batteries, is hard, it is necessary to maximize the lifespan of the mission while also maintaining its real-time quality of service (QoS) requirements. To address these requirements, this paper presents a deployment framework called Smart Deploy, which integrates bin packing heuristics with evolutionary algorithms to produce near-optimal deployment solutions that are computationally inexpensive to compute for maximizing the lifespan of smart phone-based mission critical applications. The paper evaluates the merits of deployments produced by Smart Deploy for a search-and-rescue mission comprising a heterogeneous mix of smart phones by integrating a worst-fit bin packing heuristic with particle swarm optimization and genetic algorithm. Results of our experiments indicate that the missions deployed using Smart Deploy have a lifespan that is 20% to 162% greater than those deployed using just the bin packing heuristic or evolutionary algorithms. Although Smart Deploy is slightly slower than the other algorithms, the slower speed is acceptable for offline computations of deployment.

关键词： software Smart phones Evolutionary computation Batteries Hardware Topology Heuristic algorithms

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Reducing the Energy Cost of Irregular Code Bases in Soft Processor systems

Reducing the Energy Cost of Irregular Code Bases in Soft Pro...

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Annual IEEE symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Manish Arora Jack Sampson Nathan Goulding-Hotta Jonathan Babb Ganesh Venkatesh Michael Bedford Taylor Steven Swanson Department of Computer Science and Engineering University of California San Diego USA Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology USA

This paper describes an architecture and FPGA synthesis tool chain for building specialized, energy-saving coprocessors called Irregular Code Energy Reducers (ICERs) for a wide range of unmodified C programs. FPGAs are increasingly used to build large-scale systems, and many large software systems contain relatively little code that is amenable to automatic, semi-automatic, or even manual parallelization. Whereas accelerator approaches have traditionally achieved energy benefits as a side effect from increasing performance via parallel execution, ICERs aim to achieve energy gains even on code with little exploitable parallelism. Traditional approaches to automatically generating accelerators from existing software rely on inferring parallel execution from serial code, so they face the same code analysis challenges as parallelizing compilers. In contrast, because the ICER approach targets energy rather than performance, it easily scales to large, irregular applications that are poor candidates for traditional acceleration. Our results show that, compared to a baseline system with soft processor cores, ICERs can reduce energy consumption by up to 9.5x for the code they target and 2.8x for whole applications.

关键词： Benchmark testing Clocks Field programmable gate arrays Computer architecture Hardware Acceleration Viterbi algorithm

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An Approach for Service Composition and Testing for Cloud Computing

An Approach for Service Composition and Testing for Cloud Co...

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international symposium on Autonomous Decentralized systems (ISADAS)

作者： Wei-Tek Tsai Peide Zhong Janaka Balasooriya Yinong Chen Xiaoying Bai Jay Elston Department of Computer Science and Technology Tsinghua University Beijing China School of Computing Informatics and Decision System Engineering Arizona State University Tempe AZ USA

As cloud services proliferate, it becomes difficult to facilitate service composition and testing in clouds. In traditional service-oriented computing, service composition and testing are carried out independently. This paper proposes a new approach to manage services on the cloud so that it can facilitate service composition and testing. The paper uses service implementation selection to facilitate service composition similar to Google's Guice and Spring tools, and apply the group testing technique to identify the oracle, and use the established oracle to perform continuous testing for new services or compositions. The paper extends the existing concept of template based service composition and focus on testing the same workflow of service composition. In addition, all these testing processes can be executed in parallel, and the paper illustrates how to apply service-level MapReduce technique to accelerate the testing process.

关键词： Testing Ontologies Companies Silicon Cloud computing software Programming

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Product Model Derivation by Model Transformation in software Product Lines

Product Model Derivation by Model Transformation in Software...

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IEEE international symposium on Object/Component/Service-Oriented Real-Time distributed Computing Workshops (ISORCW)

作者： Rasha Tawhid Dorina C. Petriu School of Computer Science Carleton University Ottawa ONT Canada Department of Systems and Computer Engineering Carleton University Ottawa ONT Canada

Product derivation is an essential part of the software Product Line (SPL) development process. The paperproposes a model transformation for deriving automatically a UML model of a specific product from the UML model of a product line. This work is a part of a larger project aiming to integrate performance analysis in the SPL model-driven development. The SPL source model is expressed in UML extended with two separate profiles: a "product line" profile from literature for specifying the commonality and variability between products, and the MARTE profile recently standardized by OMG for performance annotations. The automatic derivation of a concrete product model based on a given feature configuration is enabled through the mapping between features from the feature model and their realizations in the design model. The paper proposes an efficient mapping technique that aims to minimize the amount of explicit feature annotations in the UML design model of SPL. Implicit feature mapping is inferred during product derivation from the relationships between annotated and non-annotated model elements as defined in the UML metamodel and well formedness rules. The transformation is realized in the Atlas Transformation Language (ATL) and illustrated with an ecommerce case study that models structural and behavioural SPL views.

关键词： Unified modeling language Computational modeling Kernel Analytical models Concrete Catalogs

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A study on educational data clustering approach based on improved particle swarm optimizer

A study on educational data clustering approach based on imp...

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IEEE international symposium on Information (IT) in Medicine and Education, ITME

作者： Xiangwei Zheng Yuanjiang Jia School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Lab. for Distributed Computer Software Novel Technology Jinan China

More and more clustering approaches are used in educational data mining for too many data are generated by web-based educational systems. To deal with the problem of premature convergence of the traditional K-means algorithm and computational costs, an improved K-means clustering algorithm based cooperative PSO frame is proposed in this paper. Cooperative PSO has been proved effective for large scale and complex problems via a divide-and-conquer strategy by simulating coevolutionary techniques in nature. Therefore, K-means clustering algorithm based cooperative PSO frame is effective in educational data clustering.

关键词： Clustering algorithms Vectors Particle swarm optimization Data mining Algorithm design and analysis Partitioning algorithms Educational institutions

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A Recursive Algorithm for Scheduling of Tasks in a Heterogeneous distributed Environment

A Recursive Algorithm for Scheduling of Tasks in a Heterogen...

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2011 4th international Conference on Biomedical engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

作者： Yan Kang Ying Lin Department of Software Engineering School of Software Yunnan University Kunming Yunnan China Department of Information Security School of Software Yunnan University Kunming Yunnan China

Optimal scheduling of parallel tasks with some precedence is critical for achieving high performance in heterogeneous computing system. The application scheduling is known to be NP-complete in general cases. The complexity of the problem increase when task scheduling is to be done in a heterogeneous environment This paper presents a recursive task scheduling algorithm for a bounded number of heterogeneous processors run on the network of Heterogeneous systems. It is three-phase task scheduling algorithm. The task-prioritizing phase is to is to compute the upward rank of each task and assign the priority to all tasks. The processor selection phase is to schedule the tasks onto the processors that give the latest start time for the task. The moving phase is to move all the possible tasks until the starting time of the entry task is zero. The performance of the algorithm is illustrated by comparing the scheduling length ratio, frequency of best results with the existing effectively scheduling algorithms, Heterogeneous Earliest Finish Time and Iterative List Scheduling algorithm.

关键词： scheduling algorithm heterogeneous recursive distributed system

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Accurate Measurement-Based WCET Analysis in the Absence of Source and Binary Code

Accurate Measurement-Based WCET Analysis in the Absence of S...

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international symposium on Object-Oriented Real-Time distributed Computing

作者： Amine Marref Adam Betts Department of Computer Science Umm Al-Qura University Makkah Saudi Arabia School of Innovation Design and Engineering Mälardalen University Vasteras Sweden

Estimating the worst-case execution time (WCET) of real-time embedded systems is compulsory for the verification of their correct functioning. Traditionally, the WCET of a program is estimated assuming availability of the program's binary which is disassembled to reconstruct the program, and in some cases its source code to derive useful high-level execution information. However, in certain scenarios the program's owner requires that the binary of the program not be reverse-engineered to protect intellectual property, and in extreme situations, the program's binary is not available for the analysis, in which case it is substituted by program-execution traces. In this paper we show that we can obtain WCET estimates for programs based on runtime-generated or owner-provided time-stamped execution traces and without the need to access the source code or reverse-engineer the binaries of the programs. We show that we can provide very accurate WCET estimations using both integer linear programming (ILP) and constraint logic programming (CLP). Our method generates safe and tight WCET estimations for all the benchmarks used in the evaluation.

关键词： Timing Instruments Estimation Testing Hardware software Semantics

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parallel Association Rule Mining for Medical Applications

Parallel Association Rule Mining for Medical Applications

引用

IEEE symposium on Bioinformatics and Bioengineering (BIBE)

作者： G.G. Zhang C.Z. Xu Philip C-Y Sheu Hiroshi Yamaguchi Research Institute of Information Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University China State Key Laboratory of Software Engineering Wuhan University China Department of EECS University of California Irvine CA USA Research and Development Initiative Chuo University Tokyo Japan

For real-time applications that consist of massive number of rules, partitioning of the rules to support parallel processing is important. This paper proposes a suite of algorithms called GAPCM for parallel processing of massive number of rules. By considering even distribution, minimal waiting time and minimal inter-processor communication, we propose three algorithms for subnet allocation, and apply these algorithms to association rule mining.

关键词： Program processors Diseases Partitioning algorithms Association rules parallel processing Real time systems Algorithm design and analysis

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distributed Reconfigurable Hardware for Image Processing Acceleration

Distributed Reconfigurable Hardware for Image Processing Acc...

引用

international Conference on P2P, parallel, Grid, Cloud and Internet Computing (3PGCIC)

作者： Julio D. Dondo Jesus Barba Fernando Rincon Francisco S´nchez David D. Fuente Juan C. Lopez School of Computer Engineering Universitty of Castilla-La Mancha Ciudad Real Spain

Lately, the use of GPUs is dominant in the field of high performance computing systems for computer graphics. However, since there is "not good for everything" solution, GPUs have also some drawbacks that make them not the best choice in certain scenarios: poor performance per watt ratio, difficulty to rewrite code to explode the parallelism and synchronization issues between computing cores, for example. In this work, we present the R-GRID approach based on the grid computing paradigm, with the purpose of integrating heterogenous reconfigurable devices under the umbrella of the distributed object paradigm. With R-GRID the aim is to offer an easy way to non experience hardware developers for building image processing applications using a component model. Deployment, communication, resource sharing, data access and replication of the processing cores is handled in an automatic and transparent manner, so coarse grained parallelism can be exploited effortless in R-GRID, accelerating image processing operations.

关键词： Hardware Field programmable gate arrays Computer architecture software Image processing parallel processing Security

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Kusu Cluster Computing Introduction and Deployment of Applications

Kusu Cluster Computing Introduction and Deployment of Applic...

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The 2011 international Conference on Computing,Information and Control(ICCIC 2011)

作者： Liang Zhang Zhenkai Wan School of Computer Science and Software Engineering Tianjin Polytechnic University

Cluster computing is a distributed parallel computing system. As a small cloud,cluster is mainly used in high availability,reliability or high performance computing. Kusu,which is the first open-source software developed by Platform Computing,is a tool for the deployment of cluster computing. Kusu has the advantages of operating and managing the cluster with easy,deploying cluster nodes rapidly and supporting multiple Linux operating systems. This paper describes the Kusu cluster concepts,benefits,structure and how to deploy nodes in details.

关键词： Kusu Cluster Cluster Deployment Linux

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