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CEUR workshop Proceedings

CEUR Workshop Proceedings

引用

Annual international workshop on DAtabases, TExts, Specifications and Objects, DATESO 2015

The proceedings contain 12 papers. The topics discussed include: dynamic local scheduling of multiple DAGs in distributed heterogeneous systems;data structures for indexing triple table;vocabulary for linked data visualization model;parallel approach to context transformations;methodologies and best practices for open data publication;introduction to optical music recognition: overview and practical challenges;critical evaluation of existing external sorting methods in the perspective of modern hardware;procedural code representation in a flow graph;biased kNN similarity content based prediction of movie tweets popularity;UnifiedViews: towards ETL tool for simple yet powerful RDF data management;aspect-oriented user interface design for android applications;and a survey on music retrieval systems using microphone input.

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Assembling a framework for unknown real-time applications with RTSJ 15

Assembling a framework for unknown real-time applications wi...

引用

13th international workshop on Java Technologies for Real-time and Embedded systems, JTRES 2015

作者： Nikolov, Vladimir Hauck, Franz J. Wesner, Stefan Inst. of Inform. Resource Management Ulm University Germany Germany Inst. of Distributed Systems Ulm University Germany Germany

ISBN: (纸本)9781450336444

In this paper we present our practical experiences during the implementation of our hierarchical scheduling model for unknown applications with fluctuating resource demands. This work is not about evaluation of our model, but it presents mechanisms which were enacted on several levels of our implementation in order to circumvent shortcomings of the current Real-Time Specification for Java (RTSJ) Version 1.0.2. Those mechanisms include custom scheduling of real-time threads, the implementation of server mechanisms, i.e. constant bandwidth servers, and a dynamically switchable logic of applications and tasks. Each of these mechanisms is relied partly on existing RTSJ features, some of which lack required functionality on their API and semantical level as well for a flawless implementation of our model. Finally, we discuss a set of concrete issues, like dynamic period and deadline changes of real-time threads, custom cost-replenishment for processing groups, qualification of schedulable objects for ATC-execution and general semantics for custom application-specific scheduling, with regard to their current specification within RTSJ, their implementation within the JamaicaVM and the upcoming new version of RTSJ 2.0. © 2015 ACM.

关键词： scheduling

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Message from the HCW Program Committee Chair

Message from the HCW Program Committee Chair

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IEEE international Symposium on parallel and distributed Processing workshops and Phd Forum (IPDPSW)

作者： Denis Trystram Grenoble France

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

ISBN: (纸本)9781467376853

关键词： Conferences Algorithm design and analysis Computer architecture resource management scheduling Processor scheduling Computer applications

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Brokering Solution for Science Gateways Using Multiple distributed Computing Infrastructures

Brokering Solution for Science Gateways Using Multiple Distr...

引用

international workshop on Science Gateways (IWSG)

作者： Krisztian Karoczkai Attila Kertesz Peter Kacsuk MTA SZTAKI Laboratory of Parallel and Distributed Systems Budapest Hungary

The ever growing number of computation-intensive applications calls for the interoperation of distributed infrastructures such as Clouds, Grids and private clusters. The European SHIWA and ER-flow projects have been initiated to enable the combination of heterogeneous scientific workflows, and to execute them in a large-scale system consisting of multiple distributed Computing Infrastructures including Grids and Clouds. One of the resource management challenges of these projects called parameter study job scheduling. A parameter study job of a workflow has a large number of input files to be consumed by independent job instances. In this paper we propose a meta-brokering solution for these workflows to be applied in science gateways. To cope with the high uncertainty and unpredictable load of the utilized infrastructures, we rely on resource priority services. These tools are capable of determining and dynamically updating priorities of the available infrastructures to be selected for job instances.

关键词： Logic gates Time measurement distributed computing Europe Concrete resource management Workflow management software

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Adaptive resource and Job management for Limited Power Consumption

Adaptive Resource and Job Management for Limited Power Consu...

引用

IEEE international Symposium on parallel and distributed Processing workshops and Phd Forum (IPDPSW)

作者： Yiannis Georgiou David Glesser Denis Trystram BULL BULL Univ. Grenoble-Alpes Univ. Grenoble-Alpes Institut Universitaire de France

ISBN: (纸本)9781467376853

The last decades have been characterized by an ever growing requirement in terms of computing and storage resources. This tendency has recently put the pressure on the ability to efficiently manage the power required to operate the huge amount of electrical components associated with state-of-the-art high performance computing systems. The power consumption of a supercomputer needs to be adjusted based on varying power budget or electricity availabilities. As a consequence, resource and Job management systems have to be adequately adapted in order to efficiently schedule jobs with optimized performance while limiting power usage whenever needed. We introduce in this paper a new scheduling strategy that can adapt the executed workload to a limited power budget. The originality of this approach relies upon a combination of speed scaling and node shutdown techniques for power reductions. It is implemented into the widely used resource and job management system SLURM. Finally, it is validated through large scale emulations using real production workload traces of the supercomputer Curie.

关键词： Switches Power demand Supercomputers Benchmark testing Energy consumption Hardware Frequency measurement

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Design and evaluation of a novel DataFlow based BigData solution 6

Design and evaluation of a novel DataFlow based BigData solu...

引用

6th international workshop on Programming Models and Applications for Multicores and Manycores, PMAM 2015

作者： Wu, Yao Zheng, Long Heilig, Brian Gao, Guang R. ET International Inc. Department of Electrical and Computer Engineering University of Delaware NewarkDE United States Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781450334044

As the attention given to big data grows, cluster computing systems for distributed processing of large data sets become the mainstream and critical requirement in high performance distributed system research. One of the most successful system is Hadoop which uses MapReduce as programming/execution model and takes disks as intermedia to process huge volume of data. However, currently, it is a consensus that Hadoop is not the final solution to BigData due to MapReduce programming model, disk based computing, synchronous execution model and the constraint that only supports batch processing, and so on. A new solution, especially, a fundamental evolution is needed to bring BigData solution into a new era. In this paper, we introduce a new cluster computing system called HAMR which supports both batch and streaming processing. To achieve better performance, HAMR integrates HPC approaches, i.e. DataFlow fundamental into a big data solution. With more speicifications, HAMR is fully designed based on In-Memory computing to reduce the unnecessary disk access overhead;task scheduling and memory management are in fine-grain manner to explore more parallelism;asynchronous execution improves eciency of computation resource usage, and furtherly makes workload balance across the whole cluster better. The experimental results show that HAMR can outperform Hadoop by up to 10x in the same cluster environment. Copyright © 2015 ACM.

关键词： Big data

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Dynamic Job scheduling in the Cloud Using Slowdown Optimization and Sandpile Cellular Automata Model

Dynamic Job Scheduling in the Cloud Using Slowdown Optimizat...

引用

IEEE international Symposium on parallel and distributed Processing workshops and Phd Forum (IPDPSW)

作者： Jakub Gasior Franciszek Seredynski Systems Research Institute Polish Academy of Sciences Warsaw Poland Dept. of Math. & Natural Sci. Cardinal Stefan Wyszynski Univ. Warsaw Poland

ISBN: (纸本)9781467376853

We present in this paper a general framework to study issues of effective load balancing and scheduling in highly parallel and distributed environments such as currently built Cloud computing systems. We propose a novel approach based on the concept of the Sandpile cellular automaton: a decentralized multi-agent system working in a critical state at the edge of chaos. Our goal is providing fairness between concurrent job submissions by minimizing slowdown of individual applications and dynamically rescheduling them to the best suited resources. The algorithm design is experimentally validated by a number of numerical experiments showing the effectiveness and scalability of the scheme in the presence of a large number of jobs and resources and its ability to react to dynamic changes in real time.

关键词： Load management Dynamic scheduling Heuristic algorithms Load modeling Automata Processor scheduling

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Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green scheduling

Energy-Aware Server Provisioning by Introducing Middleware-L...

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IEEE international Symposium on parallel and distributed Processing workshops and Phd Forum (IPDPSW)

作者： Daniel Balouek-Thomert Eddy Caron Laurent Lefèvre LIP Laboratory University of Lyon France NEWGENERATION-SR Paris France

ISBN: (纸本)9781467376853

Several approaches to reduce the power consumption of data enters have been described in the literature, most of which aim to improve energy efficiency by trading off performance for reducing power consumption. However, these approaches do not always provide means for administrators and users to specify how they want to explore such trade-offs. This work provides techniques for assigning jobs to distributed resources, exploring energy efficient resource provisioning. We use middleware-level mechanisms to adapt resource allocation according to energy-related events and user-defined rules. A proposed framework enables developers, users and system administrators to specify and explore energy efficiency and performance trade-offs without detailed knowledge of the underlying hardware platform. Evaluation of the proposed solution under three scheduling policies shows gains of 25% in energy-efficiency with minimal impact on the overall application performance. We also evaluate reactivity in the adaptive resource provisioning.

关键词： Servers Power demand Measurement Estimation Peer-to-peer computing Energy consumption resource management

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CER-IOS: Internal resource Utilization Optimized I/O scheduling for Solid State Drives

CER-IOS: Internal Resource Utilization Optimized I/O Schedul...

引用

international Conference on parallel and distributed systems (ICPADS)

作者： Xuchao Xie Dengping Wei Qiong Li Zhenlong Song Liquan Xiao College of Computer National University of Defense Technology Changsha China

Modern Solid State Drives (SSDs) integrate more internal resources to get higher performance and capacity. Improving internal resource utilization by exploiting internal parallelism is important to enhance the performance of SSDs. Unfortunately, the internal resource utilization of SSDs is limited at runtime in practice because of the practical access conflicts to internal resources. In this paper, we propose a Conflict Eliminated Requests Based I/O Scheduler (CER-IOS) to better utilize internal parallelism of flash chips by scheduling I/O requests in a more fine-grained way. We introduce Conflict Eliminated Requests (CERs) in which parallelizable memory requests are grouped during the process of address translation in Flash Translation Layer. To schedule conflicting requests, we propose a small CER size prioritized resource distribution scheme, that ensures internal resources can always be distributed to valuable conflicting requests to further improve the efficiency of resource utilization. Our extensive experimental evaluation results show that CER-IOS provides significant improvement of resource utilization at runtime and reduces average I/O latency largely compared to state-of-the-art I/O schedulers implemented in operating systems.

关键词： Ash parallel processing resource management Runtime Operating systems scheduling Solids

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Considerations on distributed Load Balancing for Fully Heterogeneous Machines: Two Particular Cases

Considerations on Distributed Load Balancing for Fully Heter...

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IEEE international Symposium on parallel and distributed Processing workshops and Phd Forum (IPDPSW)

作者： Nathanaël Cheriere Erik Saule Department of Computer Science ENS Rennes Rennes France Department of Computer Science University of North Carolina at Charlotte Charlotte USA

When the size of parallel systems increases, centralized algorithms to schedule tasks on the system can induce a significant overhead. This is why decentralized scheduling algorithms have been developed. The most popular one certainly is work-stealing because of its interesting theoretical guarantees. parallel systems have evolved from homogeneous clusters to fully heterogeneous ones such as GPU-accelerated clusters. We investigate in this paper decentralized scheduling algorithms for heterogeneous systems. The guarantees of work-stealing algorithms no longer hold on such systems because it is an a posteriori algorithm which highly depends on the initial distribution of work. We focus on a priori decentralized scheduling algorithms for heterogeneous systems and we propose two distributed algorithms to balance the load on unrelated machines for two particular cases. The first one exploits a low heterogeneity in the task set and reaches an approximation ratio linear in the number of types of tasks. The second one focuses on the case where the system only uses two different types of machines and we show it is a 2-approximation if the system converges. In the case it does not converge, we study the dynamic equilibrium of the system. In the homogeneous case, we numerically compute the probability density function of the load imbalance and show that the imbalance is low on average. And we show using simulation that the heterogeneous case is similar to the homogeneous case and that the imbalance is low in both cases.

关键词： Program processors Approximation algorithms Clustering algorithms Load management Approximation methods Processor scheduling scheduling

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