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Automatic VM Allocation for Scientific Application

Automatic VM Allocation for Scientific Application

引用

international conference on parallel and distributed systems (ICPADS)

作者： Sarunya Pumma Tiranee Achalakul Li Xiaorong Department of Computer Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand Technology and Research Institute of High Performance Computing Agency for Science Singapore

Cloud has been the main technology utilized as a high performance computing (HPC) platform. the characteristics of cloud can satisfy a large scale processing required by scientific applications, which are mostly compute-intensive with big data. Cloud can also reduce the computing cost through sharing and virtualizing of resources. In the cloud, a large number of virtual machines (VM) can be generated on demands. In order to obtain the optimal cost and high efficiency in the task execution on the public cloud, the suitable amount of virtual machines should be properly determined prior to the start of the computation. Moreover, the application should be effectively partitioned and distributed onto the virtual machines. In this paper, we propose an automatic mechanism to allocate the optimal numbers of resources in the cloud. the novel resource estimation model and scheduling algorithm are presented. We select an analytic application with high level of computations in the field of epidemic forecast to demonstrate the use of the designed mechanism. Experimental studies have been conducted to examine the resource prediction accuracy and the scalability of running the application on the cloud.

关键词： Parameter estimation Predictive models Cloud computing Mathematical model Resource management Virtual machining Computational modeling

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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...

引用

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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Handling Churn in Similarity Based Clustering Overlays Using Weighted Benefit

Handling Churn in Similarity Based Clustering Overlays Using...

引用

IEEE international conference on parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Irum Fahim Bukhari Aaron Harwood Shanika Karunasekera University of Melbourne

Similarity based clustering (SBC) overlays are decentralized networks of nodes on the Internet edge, where each node maintains some number of direct connections to other nodes that are most "similar" to it. the challenge is: how do the nodes in the overlay converge to and maintain the most similar neighbors, given that the network is decentralized, is subject to churn and that similarity varies over time. Protocols that simultaneously provide fast convergence and low bandwidth consumption are the objective of this research. We present a protocol, that we call Weighted Benefit Scheme (WBS), that improves upon existing state-of-the-art in this area: it has equivalent convergence rate to the Optimum Benefit Protocol while simultaneously handling churn competitively to the Vicinity protocol. We use real world datasets from Yahoo WebScope that comprises of 15,400 users with 354,000 ratings about 1000 songs and our experiments are performed on the simulation test-bed PeerNet.

关键词： Peer-to-peer computing Protocols Convergence Bandwidth Motion pictures Message systems Topology

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Wide-area Nile: a case study of a wide-area data-parallel application

Wide-area Nile: a case study of a wide-area data-parallel ap...

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international conference on distributed computing systems

作者： A. Amoroso K. Marzullo A. Ricciardi Dipartimento di Scienze dell'Informazione Università di Bologna Bologna Italy Department of Computer Science and Engineering University of California La Jolla CA Department of Electrical Engineering University of Texas at Austin Austin TX

the Nile system is a distributed environment for running very large, data-intensive applications across a network of commodity workstations. these applications process data from elementary particle collisions, generated by the Cornell Electron Storage Ring, and are used by physicists of the CLEO experiment. the applications have a simple data-parallel structure, and so Nile executes them using as much parallelism as is available. Nile currently runs at any single site. It is being used by alpha testers and is scheduled for beta release in March 1998. We describe how we are adapting this local-area Nile system to allow for wide-area, multiple site interactions. In particular, we consider the two problems of scaling and of fault tolerance.

关键词： Computer aided software engineering Application software Fault tolerance Resource management Testing Processor scheduling Collaboration Physics Electron beams Detectors

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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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Optimistic parallel simulation engine for predicting future situations incorporating observation data

Optimistic parallel simulation engine for predicting future ...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Masashi Shiraishi Atsuo Ozaki Shusuke Watanabe Information Technology R&D Center Mitsubishi Electric Corporation Kanagawa Japan Kamakura Works Mitsubishi Electric Corporation Kanagawa Japan

ISBN: (纸本)9781509055050

Coping with emergency situations requires effective and prompt decision-making under constantly changing situations. the deployment of various kinds of sensors makes it possible to acquire vast amounts of information. At present, however, most information processing is not automated; therefore, the quality of decision-making depends heavily on the capacities of the decision maker. To solve this problem, we propose a system for predicting future situations through parallel simulations based on observation data. To facilitate the development of such systems, we have been developing an optimistic simulation engine (hereafter referred to as O-SE) that supports parallel simulation of many possible situations and dynamic simulation modification based on observation data acquired by sensors. the design and evaluation results of the O-SE are illustrated in this paper.

关键词： Data models Predictive models Silicon Engines Decision making Sensors Simulation

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the research and implementation of a distributed crawler system based on apache flink 18th

The research and implementation of a distributed crawler sys...

引用

18th international conference on Algorithms and Architectures for parallel Processing - ICA3PP 2018 Collocated Workshops: ICA3PP 2018 Workshop on Intelligent Algorithms for Large-scale Complex Optimization Problems, IALCOP 2018, ICA3PP 2018 Workshop on Security and Privacy in Data Processing, SPDP 2018

作者： Ye, Feng Jing, Zongfei Huang, Qian Hu, Cheng Chen, Yong Hohai University NanjingJiangsu211100 China University of Chinese Academy of Sciences Beijing100049 China Nanjing Longyuan Micro-Electronic Company NanjingJiangsu211106 China

ISBN: (纸本)9783030052331

Web information is growing at an explosive rate. the crawling ability of the single-machine crawler becomes the bottleneck, so distributed web crawling techniques become the focus of research. However, the existing distributed web crawler systems have some shortcomings. thread management for solving thread synchronization and resource competition is usually designed by using pure multi-thread asynchronous methods. But the execution of this mechanism observably reduces the performance. Moreover, the deduplication algorithms lead to low efficiency in dealing with large data sets or the problem of occupying large storage space. therefore, we propose and implement a distributed web crawler system based on Apache Flink, which combines and integrates the Mesos/Marathon framework. It can make full use of the computing resources of the cluster and significantly improve the efficiency of the web crawler system. Taking the data of Netease news pages as an example, the experimental results show that the distributed crawler proposed has higher execution efficiency and reliability. © Springer Nature Switzerland AG 2018.

关键词： Web crawler

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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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Semantic Meta-search Using Cohesion Network Analysis 18th

Semantic Meta-search Using Cohesion Network Analysis

引用

18th international conference on Artificial Intelligence - Methodology, systems, and Applications (AIMSA)

作者： Chelcioiu, Ionut Daniel Corlatescu, Dragos Paraschiv, Ionut Cristian Dascalu, Mihai Trausan-Matu, Stefan Univ Politehn Bucuresti Dept Comp Sci Bucharest 060042 Romania Res Technol SRL Sos Virtutii 19D Bucharest Romania Acad Romanian Scientists Splaiul Independentei 54 Bucharest 050094 Romania

ISBN: (纸本)9783319993447;9783319993430

Online searching is one of the most frequently performed actions and search engines need to provide relevant results, while maintaining scalability. In this paper we introduce a novel approach grounded in Cohesion Network Analysis in the form of a semantic search engine incorporated in our Hub-Tech platform. Our aim is to help researchers and people unfamiliar with a domain find meaningful articles online, relevant for their project scope. In addition, we integrate state-of-the-art technologies to ensure scalability and low response time, namely SOLR - for data storage and full-text search functionalities - and Akka - for parallel and distributed processing. Preliminary validations denote promising search results, the software being capable to suggest articles in approximately the same way as humans consider them most appropriate - 75% are close results and top 20% are identical to user recommendations. Moreover, Hub-Tech recommended more suitable articles than Google Scholar for our specific task of searching for articles related to a detailed description given as input query (50 + words).

关键词： Meta-search engine Semantic search parallel processing Akka SOLR

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Keynote 2: Exascale computing and the democratisation of HPC

Keynote 2: Exascale computing and the democratisation of HPC

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international conference on parallel and distributed systems (ICPADS)

Summary form only given, as follows. Development of Exascale Computers before the end of this decade is an ambitious target taken up by the international HPC community. the challenges are numerous; the important ones being power consumption & dissipation, reliability, application scaling, display technology and ubiquitous access. these challenges also occur at all levels of abstraction: materials & device physics, circuit design, logic design, architecture, the software stack, algorithms and high-speed networking (the last one for ubiquitous access). We need to meet these challenges not only at every level of abstraction but also need to look at the interaction between levels. Meeting the target of building Exascale systems will of course help us solve some "grand challenge" problems in science and engineering. More importantly, perhaps, it will help us "democratise" the use of HPC because of the affordability in terms of both capital and operating costs. However, such democratisation will require meeting yet another overriding challenge: education. A large workforce will be needed to design algorithms, optimise application software and intelligently use (high-end) simulation in their design flow. the talk will cover all the above aspects. Specific examples will be used for concrete illustration.

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