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Endurable SSD-Based Read Cache for Improving the Performance of Selective Restore from Deduplication Systems

Journal of Computer Science & Technology 2018年第1期33卷 58-78页

作者： Jian Liu Yun-Peng Chai Xiao Qin Yao-Hong Liu Division of Computer Science and Engineering Louisiana State University Baton Rouge LA 70803 U.S.A. Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education of China Beijing 100872 China School of Information Renmin University of China Beijing 100872 China Shelby Center for Engineering Technology Department of Computer Science and Software Engineering Samuel Ginn College of Engineering Auburn University Auburn AL 368~9-53~7 U.S.A.

Deduplication has been commonly used in both enterprise storage systems and cloud storage. To overcome the performance challenge for the selective restore operations of deduplication systems, solid-state-drive-based （i.e., SSD-based） re^d cache cm, be deployed for speeding up by caching popular restore contents dynamically. Unfortunately, frequent data updates induced by classical cache schemes （e.g., LRU and LFU） significantly shorten SSDs＇ lifetime while slowing down I/O processes in SSDs. To address this problem, we propose a new solution -- LOP-Cache to greatly improve tile write durability of SSDs as well as I/O performance by enlarging the proportion of long-term popular （LOP） data among data written into SSD-based cache. LOP-Cache keeps LOP data in the SSD cache for a long time period to decrease the number of cache replacements. Furthermore, it prevents unpopular or unnecessary data in deduplication containers from being written into the SSD cache. We implemented LOP-Cache in a prototype deduplication system to evaluate its pertbrmance. Our experimental results indicate that LOP-Cache shortens the latency of selective restore by an average of 37.3% at the cost of a small SSD-based cache with only 5.56% capacity of the deduplicated data. Importantly, LOP-Cache improves SSDs＇ lifetime by a factor of 9.77. The evidence shows that LOP-Cache offers a cost-efficient SSD-based read cache solution to boost performance of selective restore for deduplication systems.

关键词： data deduplication solid state drive （SSD） flash cache endurance

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A Comparative Study of Two Complex Ontologies in Air Traffic Management

A Comparative Study of Two Complex Ontologies in Air Traffic...

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Conference on Digital Avionics Systems (DASC)

作者： Eduard Gringinger Richard M. Keller Audun Vennesland Christoph G. Schuetz Bernd Neumayr Corporate Research Frequentis AG Vienna Austria Intelligent Systems Division NASA Ames Research Center Moffet Field CA USA Software Engineering Safety and Security SINTEF Trondheim Norway Institute of Business Informatics - Data & Knowledge Engineering Johannes Kepler University Linz Linz Austria

ISBN: (数字)9781728106496

ISBN: (纸本)9781728114972

Over the past 25 years, multiple different data models have been introduced to standardize information management and facilitate data exchange and integration in the aviation domain. As a next step in the evolution of aviation data management, ontologies capturing the semantics (concepts, properties, and relationships) have been produced based on those models. In this paper, we describe a study comparing two recently released and independently-developed complex ontologies focused on Air Traffic Management (ATM) - the NASA ATM Ontology and an ontology derived from the ATM Information Reference Model. We develop a methodology for manually comparing two ontologies and identifying what we describe as exact, light, and mismatches between concepts in the two ontologies. We also describe a classification scheme that characterizes mismatches in terms of the general reason for the mismatch. This approach can be applied to improve existing ATM ontologies and foster interoperability, which will benefit aviation stakeholders.

关键词： Information Exchange Models ATM Information Reference Model NASA ATM Ontology Ontology Matching Ontology Air traffic management Automatic Teller Machines classification scheme MISMATCH aviation data exchange data models Information management

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Accurate Q-learning 25th

Accurate Q-learning

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25th International Conference on Neural Information Processing, ICONIP 2018

作者： Hu, Zhihui Jiang, Yubin Ling, Xinghong Liu, Quan School of Computer Science and Technology Soochow University SuzhouJiangsu215006 China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing210000 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China

ISBN: (纸本)9783030041816

In order to solve the problem that Q-learning can suffer from large overestimations in some stochastic environments, we first propose a new form of Q-learning, which proves that it is equivalent to the incremental form and analyze the reasons why the convergence rate of Q-learning will be affected by positive bias. We generalize the new form for the purpose of easy adaptations. By using the current value instead of the bias term, we present an accurate Q-learning algorithm and show that the new algorithm converges to an optimal policy. Experimentally, the new algorithm can avoid the effect of positive bias and the convergence rate is faster than Q-learning and its variants on several MDP problems. © Springer Nature Switzerland AG 2018.

关键词： Reinforcement learning

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Edge-centric functional network reveals new spatiotemporal biomarkers of early mild cognitive impairment

Brain‐X

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Brain‐X 2023年第3期1卷

作者： Weiping Wang Ruiying Du Zhen Wang Xiong Luo Haiyan Zhao Ping Luan Jipeng Ouyang Song Liu School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Shunde Graduate School Beijing University of Science and Technology Shunde Guangdong China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing China Contribution: Investigation Writing - original draft Writing - review & editing The Center for Optical Imagery Analysis and Learning and School of Mechanical Engineering Northwestern Polytechnical University Xi'an Shaanxi China Weiping Wang Zhen Wang and Haiyan Zhao. Contribution: Conceptualization Formal analysis Contribution: Formal analysis Supervision Department of Neurology Peking University Third Hospital Beijing China Contribution: Data curation Formal analysis Guangdong Second People's Hospital Guangzhou Guangdong China Department of Neurology Shunde Hospital Southern Medical University Shunde Guangdong China Contribution: Conceptualization Data curation Southeast Asia Project Manager Department of China Petroleum Pipeline Engineering Co. Ltd. Langfang Hebei China Contribution: Software Supervision

Most neuroimaging studies of the pathogenesis of early mild cognitive impairment (EMCI) rely on a node-centric network model, which only calculates correlations between brain regions. Considering the interaction of low-order correlations between pairs of brain regions, we use an edge-centric network model to study high-order functional network correlations. Here, we compute edge time series (eTS) to obtain overlapping communities and study the relationship between subnetworks and communities in space. Then, based on the overlapping communities, we calculate the normalized entropy to measure the diversity of each node. Next, we compute the high-amplitude co-fluctuation of the eTS to explore the pattern of brain activity with temporal precision. Our results show that the normal control and EMCI patients differ in brain regions, subnetworks, and the whole brain. In particular, entropy values show a gradual decrease, and brain network co-fluctuation increases with disease progression. Our study is the first to investigate the pathogenesis of EMCI from the perspective of spatiotemporal flexibility and cognitive diversity based on high-order edge connectivity, further characterizing brain dynamics and providing new insights into the search for biomarkers of EMCI.

关键词： co-fluctuation edge-centric functional flexibility overlapping community spatiotemporal

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Multimodal content representation and similarity ranking of movies

arXiv

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arXiv 2017年

作者： Bougiatiotis, Konstantinos Giannakopoulos, Theodoros Software and Knowledge Engineering Lab Institute of Informatics and Telecommunications National Center of Scientific Research Demokritos Greece Computational Intelligence Lab Institute of Informatics and Telecommunications National Center of Scientific Research Demokritos Greece

In this paper we examine the existence of correlation between movie similarity and low level features from respective movie content. In particular, we demonstrate the extraction of multi-modal representation models of movies based on subtitles, audio and metadata mining. We emphasize our research in topic modeling of movies based on their subtitles. In order to demonstrate the proposed content representation approach, we have built a small dataset of 160 widely known movies. We assert movie similarities, as propagated by the singular modalities and fusion models, in the form of recommendation rankings. We showcase a novel topic model browser for movies that allows for exploration of the different aspects of similarities between movies and an information retrieval system for movie similarity based on multi-modal content. Copyright © 2017, The Authors. All rights reserved.

关键词： Statistics

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Reasoning and predicting POMDP planning complexity via covering numbers

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Frontiers of Computer Science 2016年第4期10卷 726-740页

作者： Zongzhang ZHANG Qiming FU Xiaofang ZHANG Quan LIU School of Computer Science and Technology Soochow University Suzhou 215000 China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210000 China School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou 215000 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

Partially observable Markov decision processes （POMDPs） provide a rich mathematical framework for planning tasks in partially observable stochastic environments. The notion of the covering number, a metric of capturing the search space size of a POMDP planning problem, has been proposed as a complexity measure of approximate POMDP planning. Existing theoretical results are based on POMDPs with finite and discrete state spaces and measured in the l1- metric space. When considering heuristics, they are assumed to be always admissible. This paper extends the theoretical results on the covering numbers of different search spaces, including the newly defined space reachable under inadmissible heuristics, to the ln-metric spaces. We provide a simple but scalable algorithm for estimating covering numbers. Experimentally, we provide estimated covering numbers of the search spaces reachable by following different policies on several benchmark problems, and analyze their abilities to predict the runtime of POMDP planning algorithms.

关键词： POMDP planning complexity theory covering number search space

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Task Coordination Organization Model and the Task Allocation Algorithm for Resource Contention of the Syncretic System

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Tsinghua Science and Technology 2016年第4期21卷 459-470页

作者： Danfeng Wu Guangping Zeng Di He Zhaopeng Qian Qingchuan Zhang School of Computer&Communication Engineering University of Science&Technology BeijingBeijing 100083China School of Software Liaoning Technical UniversityHuludao 125105China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing 100083China Graduate Center City University of New YorkNew YorkNY 10016USA

At present, robot embedded systems have some common problems such as closure and poor dynamic evolution. Aiming at resolving this situation, our paper focuses on improvements to the robot embedded system and sets up a new robot system architecture, and we propose a syncretic mechanism of a robot and SoftMan （SM）. In the syncretic system, the structural organization of the SoftMan group and its modes are particularly important in establishing the task coordination mechanism. This paper, therefore, proposes a coordination organization model based on the SoftMan group, and studies in detail the process of task allocation for resource contention, which facilitates a rational allocation of system resources. During our research, we introduced Resource Requirement Length Algorithm （RRLA） to calculate the resource requirements of the task and a resource conformity degree allocation algorithm of Resource Conformity Degree Algorithm （RCDA） for resource contention. Finally, a comparative evaluation of RCDA with five other frequently used task allocation algorithms shows that RCDA has higher success and accuracy rates with good stability and reliability.

关键词： SoftMan robot syncretic system organization model task allocation game theory

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Verification of a numerical model of the offshore wind turbine from the alpha ventus wind farm within OC5 phase III 37

Verification of a numerical model of the offshore wind turbi...

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ASME 2018 37th International Conference on Ocean, Offshore and Arctic engineering, OMAE 2018

作者： Popko, Wojciech Huhn, Matthias L. Robertson, Amy Jonkman, Jason Wendt, Fabian Muller, Kolja Kretschmer, Matthias Vorpahl, Fabian Hagen, Torbjørn Ruud Galinos, Christos Dreff, Jean-Baptiste Le Gilbert, Philippe Auriac, Bertrand Villora, Francisco Navarro Schunemann, Paul Bayati, Ilmas Belloli, Marco Oh, Sho Totsuka, Yoshitaka Qvist, Jacob Bachynski, Erin Sørum, Stian Høegh Thomassen, Paul E. Shin, Hyunkyoung Vittori, Felipe Galvan, Josean Molins, Climent Bonnet, Paul Van Der Zee, Tjeerd Bergua, Roger Wang, Kai Fu, Pengcheng Cai, Jifeng Fraunhofer Institute for Wind Energy Systems IWES Division Wind Turbine and System Technology Bremerhaven27572 Germany National Renewable Energy Laboratory GoldenCO United States University of Stuttgart Stuttgart Wind Energy Stuttgart Germany Senvion Osnabruck Germany OWEC Tower AS Oslo Norway Technical University of Denmark Department of Wind Energy Roskilde Denmark Electricite de France Recherche et Developpement Palaiseau France IFP Energies Nouvelles Solaize France Principia La Ciotat France Siemens Gamesa Renewable Energy Hamburg Germany University of Rostock Endowed Department of Wind Energy Technology Rostock Germany Politecnico di Milano Department of Mechanical Engineering Milan Italy Tokyo Japan Wind Energy Institute of Tokyo Inc. Tokyo Japan Subsea Hvalstad Norway Norwegian University of Science and Technology Department of Marine Technology Trondheim Norway Simis AS Trondheim Norway University of Ulsan School of Naval Architecture and Ocean Engineering Ulsan Korea Republic of Sarriguren Spain TECNALIA Derio Spain Polytechnic University of Catalonia Barcelona Spain Siemens Industry Software Cornella de Llobregat Spain Knowledge Centre WMC Wieringerwerf Netherlands Envision Energy Limited Shanghai China China General Certification Center Beijing China

ISBN: (纸本)9780791851319

The main objective of the Offshore Code Comparison Collaboration Continuation, with Correlation (OC5) project, is validation of aero-hydro-servo-elastic simulation tools for offshore wind turbines (OWTs) through comparison of simulated results to the response data of physical systems. Phase III of the OC5 project analyzes the Senvion 5M wind turbine supported by the OWEC Quattropod from the alpha ventus offshore wind farm. This paper shows results of the verification of the OWT models (code-to-code comparison). A subsequent publication will focus on their validation (comparison of simulated results to measured physical system response data). Based on the available data, the participants of Phase III set up numerical models of the OWT in their simulation tools. It was necessary to verify and to tune these models. The verification and tuning were performed against an OWT model available at the University of Stuttgart - Stuttgart Wind Energy (SWE) and documentation provided by Senvion and OWEC Tower. A very good match was achieved between the results from the reference SWE model and models set up by OC5 Phase III participants. © Copyright 2018 ASME.

关键词： Numerical models

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Travel intention-based attraction network for recommending travel destinations

Travel intention-based attraction network for recommending t...

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International Conference on Big Data and Smart Computing (BIGCOMP)

作者： Kyo-Joong Oh Zaemyung Kim Hyungrai Oh Chae-Gyun Lim Gahgene Gweon School of Computing KAIST Daejeon Republic of Korea Software Center Samsung Electronics Inc. Suwon Gyeonggi-do Republic of Korea Dept. of Knowledge Service Engineering KAIST Daejeon Republic of Korea

Recommending travel destinations on the basis of users' travel intentions is a research topic being studied recently in the field of intention analysis. This study considers travel intentions from a large number of travel-related reviews containing the reviewers' purpose for visiting the points of interest (POIs). We analyze travel intentions of 83,207 POIs using 6,791,427 reviews in *** with domain-tailored word embedding model. Building an attraction network based on travel intentions helps to recommend travel destinations to travelers and reviewers. We present three prediction methods to recommend travel destinations with an attraction network and description logic. We also present the evaluation results of recommendations from some prediction scenarios. Consequently, the travel intention classification is commensurate with an analysis of intentions from textual data, and the attraction network is useful for recommending travel destinations on the basis of short-and long-term user preferences.

关键词： Recommender systems Correlation History Data mining Testing Training knowledge engineering

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Prioritization technique for learning cloud services

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International Journal of Intelligent Computing and Cybernetics 2015年第3期8卷 222-231页

作者： Apitchaka Singjai Pradorn Sureephong Software Engineering Department College of Art Media and TechnologyChiang Mai UniversityChiang MaiThailand Knowledge Innovation Center College of Art Media and TechnologyChiang Mai UniversityChiang MaiThailand

Purpose–The purpose of this paper is to propose a combined technique of cumulative voting and numerical assignment to prioritize the services of the learning cloud ***/methodology/approach–The approach starts with requirement elicitation,then analyses of the requirements in terms of prioritization and finally classifies the priority of services into ***–As a result of the case study the requirements of the College of Art Media and Technology students has been classified into three service ***/value–This combined prioritized techniques can involve learners in the decision making process about learning cloud services utilization in the organizations.

关键词： Cloud computing Clustering SaaS Learning cloud service Numeric assignment Requirement prioritization

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