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共 303 条记录，以下是141-150 订阅

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Data Value Chain as a Service Framework: For Enabling Data Handling, Data Security and Data Analysis in the Cloud

Data Value Chain as a Service Framework: For Enabling Data H...

引用

international conference on parallel and distributed systems (ICPADS)

作者： Henry Kasim Terence Hung Xiaorong Li A*STAR Institute of High Performance Computing Singapore

the concept of Data Value Chain (DVC) involves the chain of activities to collect, manage, share, integrate, harmonize and analyze data for scientific or enterprise insight. For some applications, it also entails the leverage of visualization and simulation. However, the curse of big data (volume, velocity, variety) makes it difficult to efficiently handle and understand the data in near real-time. To address these challenges, this paper proposed the Data Value Chain as a Service (DVCaaS) framework, a data-oriented approach for data handling, data security and analytics in the cloud environment.

关键词： Data analysis Data visualization Data privacy distributed databases Computational modeling Analytical models Data models

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Keynote 1: Mobile cloud and crowd computing and sensing

Keynote 1: Mobile cloud and crowd computing and sensing

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international conference on parallel and distributed systems (ICPADS)

作者： Ivan Stojmenovic

Summary form only given, as follows. Mobile devices (smart phones, tablets, laptops, embedded boards, robots) can serve as terminals for cloud computing services over intelligent network. Mobile cloud has emerged as a new cloud computing platform that 'puts cloud into a pocket.' Important issues include optimizing the scheduling and transport schemes, access management, and application optimization, for mobile devices to achieve energy saving. this talk will first introduce the development of mobile cloud computing and describe some applications involving multimedia, vision/recognition, graphics, gaming, text processing. It will present the transmission, computation (e.g. task outsourcing), and sensing (e.g. location based services) challenges and solution approaches of green computing in mobile cloud. 'Crowd computing' combines mobile devices and social interactions to achieve large-scale distributed computation. Examples include task farming and social network creation and cooperation. Mobile devices are being equipped with various sensors to provide input for participatory and opportunistic crowd-sourced sensing. Particular emerging concepts are 'vehicular cloud' and 'vehicular crowd,' with applications such as cloud server, vehicular data center, and congestion mitigation.

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A Demo Paper: An Analytic Workflow Framework for Green Campus

A Demo Paper: An Analytic Workflow Framework for Green Campu...

引用

international conference on parallel and distributed systems (ICPADS)

作者： Chonho Lee Sivadon Chaisiri Bong Zoebir Changbing Chen Bu-Sung Lee School of Computer Engineering Nanyang Technological University Singapore

this paper proposes a multi-tenant workflow framework that allows users to create data analytic workflows whose tasks are efficiently scheduled and distributed in cloud computing environment. We provide a demo of an event room assignment (ERA) as a test application of the framework. the ERA dynamically and automatically assigns registered events (e.g., meetings, classes, conferences, etc.) to available rooms meeting the user requirements such as the event size, purpose, reservation period, etc. the assignment will lead to the energy efficiency with respect to the power usage (e.g., lighting, ventilation, devices, etc.), and the energy savings can be achieved without affecting people's comfort. We run the ERA with power consumption data (whose size is approximately 50GB) collected from each of over 200 rooms in a building at Dept. of Engineering, Tokyo University. through the demonstration, we will show that the proposed framework accelerates the speed of data analysis by providing user-friendly workflow composition and parallel processing features utilizing cloud computing technologies.

关键词： Power demand XML Real-time systems Computer architecture Educational institutions Cloud computing Buildings

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Multicore computing for SIFT Algorithm in MATLAB® parallel Environment

Multicore Computing for SIFT Algorithm in MATLAB® Parallel ...

引用

international conference on parallel and distributed systems (ICPADS)

作者： Hua Cao Jiazhong Chen School of Software Engineer Huzhong University of Science and Technology Wuhan China

An important processing stage in computer vision such as recognizes an object is feature extraction. Among those feature extraction algorithms, Lowe proposed the scale-invariant feature transform (SIFT) algorithm has been considered as one of the robust approaches. But due to the implementation of the convolution operation, the computing of SIFT algorithm is highly time-consuming. there are such problems as consuming too much power, sacrifice accuracy and lacking scalability for hardware-based acceleration scheme, it is still necessary to find the software-based acceleration approaches, especially for some applications and researches which need high-precision matched. Matlab is a general algorithm development environment with powerful image processing and other supporting toolboxes. With the rapid development of multicore CPU technology, using multicore computer and Matlab is an intuitive and simple way to speed up the computing for SIFT algorithm. In this paper, we try to have a view for using the Matlab parallel toolbox to accelerate the SIFT algorithm by two schemes of task-parallelism and data-parallelism modal. the results show that the parallel versions of former sequential algorithm with simple modifications achieve the speedup up to 6.6 times.

关键词： MATLAB parallel processing Multicore processing Feature extraction Acceleration Computers Histograms

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Enhancing Cloud Object Storage Performance Using Dynamic Replication Approach

Enhancing Cloud Object Storage Performance Using Dynamic Rep...

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international conference on parallel and distributed systems (ICPADS)

作者： Kanatorn Jindarak Putchong Uthayopas HPCNC Kasetsart University Bangkok Thailand

the cloud storage is a new paradigm of data storage. Because of the internet connection speed increasing, everyone can store data on the cloud storage. Some data is shared for many user accesses, some data is private data. It has different characteristic of access pattern. In this work, the adaptive dynamic replication is presented. the model of dynamic replication is discussed. We propose the object-based storage as our cloud storage architecture. the storage object life time is used for handle our dynamic replication mechanism. the experimental results show the distribution of storage object workload that has some characteristic that relate with storage object life time and other factors.

关键词： Servers Cloud computing Educational institutions Computer architecture Aerospace electronics Market research

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An Optimal Fully distributed Algorithm to Minimize the Resource Consumption of Cloud Applications

An Optimal Fully Distributed Algorithm to Minimize the Resou...

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international conference on parallel and distributed systems (ICPADS)

作者： Nikos Tziritas Samee Ullah Khan Cheng-Zhong Xu Jue Hong Chinese Academy of Sciences China North Dakota State University USA

According to the pay-per-use model adopted in clouds, the more the resources consumed by an application running in a cloud computing environment, the greater the amount of money the owner of the corresponding application will be charged. therefore, applying intelligent solutions to minimize the resource consumption is of great importance. Because centralized solutions are deemed unsuitable for large-distributed systems or large-scale applications, we propose a fully distributed algorithm (called DRA) to overcome the scalability issues. the aforementioned problem can be solved by identifying an assignment scheme between the interacting components of an application, such as processes and virtual machines, and the computing nodes of a cloud system, such that the total amount of resources consumed by the respective application is minimized. the decisions for the transition from one assignment scheme to another one are made in a dynamic way and based only on local information. It should be stressed that DRA achieves convergence and always results in the optimal solution. We also show, through an experimental evaluation, that DRA achieves up to 55% network cost reduction when compared to the most recent algorithm in the literature.

关键词： Gravity distributed algorithms Virtual machining Computational modeling Minimization Algorithm design and analysis Measurement

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Pipelined parallel LZSS for Streaming Data Compression on GPGPUs

Pipelined Parallel LZSS for Streaming Data Compression on GP...

引用

international conference on parallel and distributed systems (ICPADS)

作者： Adnan Ozsoy Martin Swany Arun Chauhan School of Informatics and Computing Indiana University Bloomington

In this paper, we present an algorithm and provide design improvements needed to port the serial Lempel-Ziv-Storer-Szymanski (LZSS), lossless data compression algorithm, to a parallelized version suitable for general purpose graphic processor units (GPGPU), specifically for NVIDIA's CUDA Framework. the two main stages of the algorithm, substring matching and encoding, are studied in detail to fit into the GPU architecture. We conducted detailed analysis of our performance results and compared them to serial and parallel CPU implementations of LZSS algorithm. We also benchmarked our algorithm in comparison with well known, widely used programs, GZIP and ZLIB. We achieved up to 34x better throughput than the serial CPU implementation of LZSS algorithm and up to 2.21x better than the parallelized version.

关键词： Graphics processing units Instruction sets History Data compression Algorithm design and analysis Encoding Software algorithms

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GPGPU for real-time data analytics

GPGPU for real-time data analytics

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international conference on parallel and distributed systems (ICPADS)

作者： Bingsheng He Huynh Phung Huynh Rick Goh Siow Mong Nanyang Technological University Singapore A*STAR Institute of High Performance Computing Singapore

the demand for real-time data analytics (RTDA) has been on the rise in the past decades and is ever-growing with the proliferation of different data collection *** (General-Purpose computation on Graphics Processing Units) is an emerging research area in HPC (high performance computing). With the massive computation power and high memory bandwidth, GPUs have become a sharp weapon to address the performance requirement of RTDA. Designed as co-processors, GPUs pose a number of technical challenges for RTDA in terms of efficiency and programmability. On the one hand, while new generation GPUs can have over an order of magnitude higher memory bandwidth and higher computation power (in terms of GFLOPS) than CPUs, novel GPGPU algorithmic design and implementation are a must to unleash the hardware power. On the other hand, writing a correct and efficient GPU program is still challenging in general, and even more difficult for RTDA with streaming updates and real-time multi-tasking.

关键词： USA Councils Tutorials Helium Graphics Real-time systems Graphics processing units

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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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Visualization for Anomaly Detection and Data Management by Leveraging Network, Sensor and GIS Techniques

Visualization for Anomaly Detection and Data Management by L...

引用

international conference on parallel and distributed systems (ICPADS)

作者： Zhaoxia Wang Chee Seng Chong Rick Siow Mong Goh Wanqing Zhou Dan Peng Hoong Chor Chin Department of Computing Science Institute of High Performance Computing Singapore Institute of High Performance Computing Singapore SG Tianjin Hanker Science & Technology Development Co. Ltd Tianjin P.R. China Department of Civil & Environmental Engineering National University of Singapore Singapore

this paper studies the importance of visualization for discerning and interpreting patterns of data and its application for solving real problems, such as anomaly detection and data management. there are various ways to realize visualization to cater to the needs of numerous real life applications. Depending on needs, a combination of some of these ways may be required for presenting an effective visualization. the authors present visualization schemes for anomaly detection/condition monitoring and data management by leveraging network techniques and combining them with modern techniques such as sensor, database, mobile communication, GPS and GIS techniques. Two case studies are presented and analyzed. By stepping through the design and implementation processes of these projects, this paper aims to serve as a guide for other designers or researchers to create visual analysis tools or implement projects requiring such visualization.

关键词： Data visualization Servers Real-time systems Mobile communication Global Positioning System Databases Visualization

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