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A distributed Fine-Grained Flow Control System for Scalable Aircraft Spares Management and Optimization in Clouds

A Distributed Fine-Grained Flow Control System for Scalable ...

引用

international conference on parallel and distributed systems (ICPADS)

作者： theint theint Aye Ta Nguyen Binh Duong Xiaorong Li Elaine Wong Kay Li A*STAR Institute of High Performance Computing Singapore EADS Innovation Works Singapore Singapore

In this paper, we presented the design, implementation, and evaluation of a distributed system to manage the parallelized analytics for Aircraft Spare parts Management and Optimizations (SMO), which is a well-known problem in logistics industry. Our proposed solution is able to solve the resource-intensive SMO problem using distributed computing infrastructures (e.g., private or public clouds) in a scalable manner. We designed and fine-tuned a parallel meta-heuristics based on a fine-grained flow control workflow model which enables flow controls of running parallel meta-heuristics in multiple processors and achieved significant performance gains. Together with priority based scheduling, the proposed system effectively dispatches submitted SMO jobs over the set of distributed resources to accommodate different classes of users. Extensive experimental studies were conducted to analyze the performance of parallelized SMO job executions in term of execution time, computation and data transmission time, waiting time, memory usage, etc. Insightful lessons have been drawn from the obtained results, and potential areas for further improvements have also been identified.

关键词： Torque Program processors Optimization Processor scheduling Memory management Computational modeling Resource management

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A distributed Sensor Data Stream Delivery System with Communication Loads Balancing for Heterogeneous Collection Cycle Requests

A Distributed Sensor Data Stream Delivery System with Commun...

引用

international conference on parallel and distributed systems (ICPADS)

作者： Yoshimasa Ishi Tomoki Yoshihisa Tomoya Kawakami Yuuichi Teranishi Cybermedia Center Osaka University Osaka Japan National Institute of Information and Communication Technology Tokyo Japan

Due to the prevalence of sensors such as live cameras or environmental sensors, sensor data stream delivery, which requires continuous and cyclic data delivery attracts great attention. For sensor data stream delivery, various communication loads balancing techniques have been studied since the load of the sensor data source become high to accommodate large number of clients. However, these studies assume only the requests that have the same collection cycle, which is not enough for the actual applications. In this paper, we propose a sensor data stream delivery system with communication loads balancing for heterogeneous collection cycle requests. the proposed system distributes the loads by re-delivering the sensor data that are requested by other clients with different collection cycles but have common cycles.

关键词： Streaming media Cameras Load management Prototypes Smart phones Peer to peer computing conferences

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An Improvement of OpenMP Pipeline parallelism with the BatchQueue Algorithm

An Improvement of OpenMP Pipeline Parallelism with the Batch...

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international conference on parallel and distributed systems (ICPADS)

作者： thomas Preud'Homme Julien Sopena Gaël thomas Bertil Folliot LIP6 Paris France

In the context of multicore programming, pipeline parallelism is a solution to easily transform a sequential program into a parallel one without requiring a whole rewriting of the code. the OpenMP stream-computing extension presented by Pop and Cohen proposes an extension of OpenMP to handle pipeline parallelism. However, their communication algorithm relies on Multiple-producer-Multiple-Consumer queues, while pipelined applications mostly deal with linear chains of communication, i.e., with only a single producer and a single consumer. To improve the performance of the OpenMP stream-extension, we propose to add a more specialized Single-Producer-Single-Consumer communication algorithm called Batch Queue and to select it for one-to-one communication. Our evaluation shows that Batch Queue is then able to improve the throughput up to a factor 2 on an 8-core machine both for example application and real applications. Our study shows therefore that using specialized and efficient communication algorithms can have a significant impact on the overall performance of pipelined applications.

关键词： parallel processing Pipelines throughput Benchmark testing Synchronization Multicore processing Scalability

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Keynote 3: distributed processing in wireless ad hoc and sensor networks

Keynote 3: Distributed processing in wireless ad hoc and sen...

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international conference on parallel and distributed systems (ICPADS)

Summary form only given, as follows. Wireless ad hoc and sensor networks (WASNs) raise new problems and/or new challenging issues in distributed processing. Furthermore, WASNs are mostly application specific. Design of distributed algorithms needs to explicitly account for mobility, resource constraints, dynamic changes and other characteristics of WASNs, as well as special application requirements. In this talk, I will overview distributed processing in WASNs and discuss the important issues and principles of designing effective solutions. I will also report our research in designing efficient and reliable distributed algorithms for applications of wireless sensor networks in structural health monitoring

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On Analyzing Quality of Data Influences on Performance of Finite Elements Driven Computational Simulations

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18th international conference on Euro-Par parallel Processing

作者： Reiter, Michael Truong, Hong-Linh Dustdar, Schahram Karastoyanova, Dimka Krause, Robert Leymann, Frank Pahr, Dieter Univ Stuttgart Inst Architecture Applicat Syst Stuttgart Germany Vienna Univ Technol Distributed Syst Grp Vienna Austria Univ Stuttgart Inst Appl Mech CE Stuttgart Germany Vienna Univ Technol Inst Lightweight Design & Struct Biomechan Vienna Austria

ISBN: (纸本)9783642328206

For multi-scale simulations, the quality of the input data as well as the quality of algorithms and computing environments will strongly impact the intermediate results, the final outcome, and the performance of the simulation. To date, little attention has been paid on understanding the impact of quality of data (QoD) on such multi-scale simulations. In this paper, we present a critical analysis of how QoD influences the results and performance of basic simulation building blocks for multi-scale simulations. We analyze the impact of QoD for Finite Element Method (FEM) based simulation building blocks, and study the dependencies between the QoD of input data and results as well as the performance of the simulation. We devise and implement novel QoD metrics for data intensive, FEM-based simulations and show experiments with real-world applications by demonstrating how QoD metrics can be efficiently used to control and tune the execution of FEM-based simulation at runtime.

关键词： Finite element method

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Smart Traffic Cloud: An Infrastructure for Traffic Applications

Smart Traffic Cloud: An Infrastructure for Traffic Applicati...

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international conference on parallel and distributed systems (ICPADS)

作者： Wen Qiang Wang Xiaoming Zhang Jiangwei Zhang Hock Beng Lim Intelligent Systems Centre Nanyang Technological University Singapore

With rapid development of sensor technologies and wireless network infrastructure, research and development of traffic related applications, such as real time traffic map and on-demand travel route recommendation have attracted much more attentions than ever before. Both archived and real-time data involved in these applications could potentially be very big, depending on the number of deployed sensors. Emerging Cloud infrastructure can elastically handle such big data and conveniently providing nearly unlimited computing and storage resources to hosted applications, to carry out analysis not only for long-term planning and decision making, but also analytics for near real-time decision support. In this paper, we propose Smart Traffic Cloud, a software infrastructure to enable traffic data acquisition, and manage, analyze and present the results in a flexible, scalable and secure manner using a Cloud platform. the proposed infrastructure handles distributed and parallel data management and analysis using ontology database and the popular Map-Reduce framework. We have prototyped the infrastructure in a commercial Cloud platform and we developed a real-time traffic condition map using data collected from commuters' mobile phones.

关键词： Roads Global Positioning System Real-time systems Vehicles Ontologies distributed databases Smart phones

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Coordination Models and Languages - 14th international conference, COORDINATION 2012, Proceedings

Coordination Models and Languages - 14th International Confe...

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14th international conference on Coordination Models and Languages, COORDINATION 2012

ISBN: (纸本)9783642308284

the proceedings contain 18 papers. the topics discussed include: statelets: coordination of social collaboration processes;a social software-based coordination platform: tool paper;synchronization of multiple autonomic control loops: application to cloud computing;subobject transactional memory;partial connector colouring;using coordinated actors to model families of distributed systems;scoped synchronization constraints for large scale actor systems;first-order dynamic logic for compensable processes;coordinating parallel mobile ambients to solve SAT problem in polynomial number of steps;recursive advice for coordination;fluid analysis of foraging ants;real-time coordination patterns for advanced mechatronic systems;group orchestration in a mobile environment;and linda in space-time: an adaptive coordination model for mobile ad-hoc environments.

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parallel Processing of Massive EEG Data with MapReduce

Parallel Processing of Massive EEG Data with MapReduce

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international conference on parallel and distributed systems (ICPADS)

作者： Lizhe Wang Dan Chen Rajiv Ranjan Samee U. Khan Joanna KolOdziej Jun Wang Center for Earth Observation and Digital Earth Chinese Academy of Sciences P.R. China School of Computer China University of Geosciences P.R. China Information engineering lab CSIRO ICT Centre Australia Department of Electrical and Computer Engineering North Dakota State University USA Institute of Computer Science Cracow University of Technology Poland Department of Electrical Engineering & Computer Science University of Central Florida USA

Analysis of neural signals like electroencephalogram (EEG) is one of the key technologies in detecting and diagnosing various brain disorders. As neural signals are non-stationary and non-linear in nature, it is almost impossible to understand their true physical dynamics until the recent advent of the Ensemble Empirical Mode Decomposition (EEMD) algorithm. the neural signal processing with EEMD is highly compute-intensive due to the high complexity of the EEMD algorithm. It is also data intensive because 1) EEG signals contain massive data sets 2) EEMD has to introduce a large number of trials in processing to ensure precision. the Map Reduce programming mode is a promising parallel computing paradigm for data intensive computing. To increase the efficiency and performance of the neural signal analysis, this research develops parallel EEMD neural signal processing with Map Reduce. In this paper, we implement the parallel EEMD with Hadoop in a modern cyber infrastructure. Test results and performance evaluation show that parallel EEMD can significantly improve the performance of neural signal processing.

关键词： Electroencephalography parallel processing Signal processing Signal processing algorithms Time series analysis Brain modeling Educational institutions

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SIEVE: A distributed, Accurate, and Robust Technique to Identify Malicious Nodes in Data Dissemination on MANET

SIEVE: A Distributed, Accurate, and Robust Technique to Iden...

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international conference on parallel and distributed systems (ICPADS)

作者： Rossano Gaeta Marco Grangetto Riccardo Loti Dipartirnento di Informatica Università di Torino Torino ITALY

In this paper we consider the following problem: nodes in a MANET must disseminate data chunks using rateless codes but some nodes are assumed to be malicious, i.e., before transmitting a coded packet they may modify its payload. Nodes receiving corrupted coded packets are prevented from correctly decoding the original chunk. We propose SIEVE, a fully distributed technique to identify malicious nodes. SIEVE is based on special messages called checks that nodes periodically transmit. A check contains the list of nodes identifiers that provided coded packets of a chunk as well as a flag to signal if the chunk has been corrupted. SIEVE operates on top of an otherwise reliable architecture and it is based on the construction of a factor graph obtained from the collected checks on which an incremental belief propagation algorithm is run to compute the probability of a node being malicious. Analysis is carried out by detailed simulations using ns-3. We show that SIEVE is very accurate and discuss how nodes speed impacts on its accuracy. We also show SIEVE robustness under several attack scenarios and deceiving actions.

关键词： Peer to peer computing Accuracy Decoding Mobile ad hoc networks Equations Robustness Payloads

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Quality of Experience-Aware Event Synchronization for distributed Virtual Worlds

Quality of Experience-Aware Event Synchronization for Distri...

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international conference on parallel and distributed systems (ICPADS)

作者： Laura Krammer Gregor Schiele Dieter Koch Christian Becker University of Mannheim Mannheim Germany Digital Enterprise Research Institute (DERI) at the National University of Ireland Galway Ireland

distributed virtual worlds encompass a number of different possible user interactions. these are realized as interaction events that need to be reflected in all user's views in a timely and synchronous fashion. this is difficult because of two aspects: A) user requirements vary for different events and due to B) restricted system resources, mainly network delay. In this paper we present a framework that allows the processing of events using different synchronization protocols depending on the user requirements. We integrate existing protocols into the framework allowing different handling of events.

关键词： Protocols Synchronization Avatars Context Virtual environments Delay

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