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VH-DSI: Speeding up Data Visualization via a Heterogeneous distributed storage Infrastructure

VH-DSI: Speeding up Data Visualization via a Heterogeneous D...

引用

international conference on Parallel and distributed Systems (ICPADS)

作者： Yongqing Zhu Samsudin Juniarto Haixiang Shi Jun Wang Data Storage Institute A STAR (Agency for Science Technology and Research Singapore Department of Electrical Engineering and Computer Science University of Central Florida USA

Visualizing and analyzing large-scale datasets are both critical and challenging, as they require substantial resources for data processing and storage. While the speed of supercomputers continues to set higher standard, the I/O systems have not kept in pace, resulting in a significant performance bottleneck. To alleviate the I/O bottleneck for scientific visualization applications, we propose a Visualization via a Heterogeneous distributed storage Infrastructure (VH-DSI) solution to improve I/O speed and accelerate overall visualization performance. VH-DSI replaces the traditional parallel file system with a distributed file system to support visualization applications. A new scheduling algorithm HeterSche is proposed in VH-DSI to assign computing tasks to data nodes with the consideration of cluster heterogeneity and data locality. VH-DSI also includes a design to support POSIX-IO for distributed file system. The performance evaluation has shown that the proposed VH-DSI solution can achieve significant performance improvement for visualization applications. Compared to the traditional visualization, the VH-DSI solution reduces the response time by at least 5 times. The HeterSche scheduling algorithm is capable to speed up visualization compared to other scheduling algorithms especially for large scale datasets.

关键词： Data visualization File systems distributed databases Scheduling algorithms Pipelines Computer architecture

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intelligent computing and Applications: Proceedings of the international conference on ICA, 22-24 December 2014 1

引用

丛书名： Advances in intelligent Systems and computing 343

2015年

作者： Durbadal Mandal, Rajib Kar, Swagatam Das, Bijaya Ketan Panigrahi (eds.)

ISBN: (数字)9788132222682

ISBN: (纸本)9788132222675;9788132222682

The idea of the 1st international conference on intelligent computing and Applications (ICICA 2014) is to bring the Research Engineers, Scientists, Industrialists, Scholars and students together from in and around the globe to present the on-going research activities and hence to encourage research interactions between universities and industries. The conference provides opportunities for the delegates to exchange new ideas, applications and experiences, to establish research relations and to find global partners for future collaboration. The proceedings covers latest progresses in the cutting-edge research on various research areas of Image, Language Processing, Computer Vision and Pattern Recognition, Machine Learning, Data Mining and Computational Life Sciences, Management of Data including Big Data and Analytics, distributed and Mobile Systems including Grid and Cloud infrastructure, Information Security and Privacy, VLSI, Electronic Circuits, Power Systems, Antenna, Computational fluid dynamics & Heat transfer, intelligent Manufacturing, Signal Processing, intelligent computing, Soft computing, Bio-informatics, Bio computing, Web Security, Privacy and E-Commerce, E-governance, Service Orient Architecture, Data Engineering, Open Systems, Optimization, Communications, Smart wireless and sensor Networks, Smart Antennae, Networking and Information security, Machine Learning, Mobile computing and Applications, Industrial Automation and MES, Cloud computing, Green IT, IT for Rural Engineering, Business computing, Business Intelligence, ICT for Education for solving hard problems, and finally to create awareness about these domains to a wider audience of practitioners.

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Adaptive Trust Update Frequency in MANETs

Adaptive Trust Update Frequency in MANETs

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international conference on Parallel and distributed Systems (ICPADS)

作者： Muhammad Saleem Khan Daniele Midi Majid. I. Khan Elisa Bertino Department of Computer Science COMSATS Institute of Information Technology Islamabad Pakistan Computer Science Purdue University West Lafayette IN USA

Most of the existing trust-based security schemes for MANETs compute and update the trustworthiness of the other nodes with a fixed frequency. Although this approach works well in some scenarios, some nodes may not be able to afford the periodical trust update due to the limited resources in energy and computation power. To avoid energy depletion and extend the network lifetime, trust-based security schemes need approaches to update the trust taking into account the network conditions at each node. At the same time, a trade-off in terms of packet loss rate, false positives, detection rate, and energy of nodes is needed for network performance. In this paper, we first investigate the impact of trust update frequency on energy consumption and packet loss rate. We then identify network parameters, such as packet transmission rate, packet loss rate, remaining node energy, and rate of link changes, and leverage these parameters to design an Adaptive Trust Update Frequency scheme that takes into account runtime network conditions. The evaluation of our prototype shows significant improvements in the tradeoff between energy saving and packet loss rate over traditional fixed-frequency approaches.

关键词： Packet loss Energy consumption Ad hoc networks Mobile computing Security Monitoring

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PEVTS: Privacy-Preserving Electric Vehicles Test-Bedding Scheme

PEVTS: Privacy-Preserving Electric Vehicles Test-Bedding Sch...

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international conference on Parallel and distributed Systems (ICPADS)

作者： Xu Yang Joseph K. Liu Wei Wu Man Ho Au Willy Susilo Fujian Provincial Key Laboratory of Network Security and Cryptology Fujian Normal University China and State Key Laboratory of Cryptology Beijing China Faculty of Information Technology Monash University Australia Department of Computing Hong Kong Polytechnic University Hong Kong School of Computer Science and Software Engineering University of Wollongong Australia

Electric Vehicle (EV) infrastructure is relatively new in many countries. Due to the recency of an EV infrastructure, it is important to carry out a series of testing programs. Furthermore, authenticity for collection of data is necessary for testing programs in order to provide accurate results. At the same time, user privacy should not cease since tracing one's daily logistic movements or behaviour from the EV testing programs means breaching one's privacy. In this paper, we propose a novel solution PEVTS for enabling both data authenticity and user privacy concurrently. Our proposed system provides great flexibility to the authority to choose any arbitrary set of authenticated users for testing in every time period. At the same time, it provides anonymity for all participating users. Yet it can trace any vehicle within a time period for statistical purpose. We give a detailed description of our system. We also implement the prototype of our system to show its practicality.

关键词： Testing Privacy Cryptography Electric vehicles Data privacy Authentication

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PROP: Using PCIe-Based RDMA to Accelerate Rack-Scale Communications in Data Centers

PROP: Using PCIe-Based RDMA to Accelerate Rack-Scale Communi...

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international conference on Parallel and distributed Systems (ICPADS)

作者： Dawei Zang Zheng Cao Xiaoli Liu Lin Wang Zhan Wang Ninghui Sun University of Chinese Academy of Sciences Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing China

In order to reduce the demands on bandwidth of core layer network, data center operators usually assign tasks of the same job to servers that are located in the same rack, leading to the fact that 80% of the traffic originated from servers retains in the same rack. As a result, providing sufficient network capacity inside racks becomes critical to the Quality-of-Service of current data center applications. In this paper, we propose PROP, a novel hybrid network architecture which leverages PCIe-based RDMA to reinforce rack-scale connectivity in data centers. In our design, intra-rack bulk data transfers will be accelerated by a dedicated high-bandwidth PCIe-compliant network while complemented with the existing Ethernet network. In addition, we develop a proprietary PCIe-based RDMA hardware which can allow the servers in the same rack to exchange data in main memory without involving the operating system and the processors. We also implement a software stack to enable existing socket-based applications to transparently utilize the proposed dedicated network system. As the preliminary stage, this paper focuses on exploiting the unique design point and implements an FPGA-based prototype to validate the technical feasibility of the proposed architecture.

关键词： Servers Computer architecture Bandwidth Switches Receivers Network interfaces

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Sentiment and emotion prediction through cognition: A Review

Advances in Intelligent Systems and Computing

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Advances in intelligent Systems and computing 2015年 366卷 719-722页

作者： Vetriselvi, T. Vadivel, A. Cognitive Science Research Group Department of Computer Applications National Institute of Technology Tiruchirappalli TamilNadu India

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Hadoop framework based ubiquitous learning

Hadoop framework based ubiquitous learning

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international conference on Advanced computing, ICAC

作者： C. Valliyammai S. Ephina Thendral V. Muthuvalliammai S. Anandhavalli K. M. Madhumathi Department of Computer Technology Anna University-MIT campus Chennai India Anna University Chennai Chennai Tamil Nadu IN

ISBN: (纸本)9781509019342

The advancement of mobile technology has lead to its utilization in the area of learning. The mobile device can be used as a sensor to gain knowledge about the learners' location, learners' context and also the device characteristics like its screen size and network bandwidth. The huge amount of study materials available in the internet makes it difficult for the learner to browse over relevant content at the right time. Hence providing relevant and useful learning content at the right time considering the learners' context is one among the objectives of ubiquitous learning (U-learning) environment. The proposed Android-based U-learning system provides personalized recommendations using technology Enhanced Learning (TEL) recommender model. The U-learning system is based on hybrid collaborative filtering and is implemented on Hadoop platform with computing done as a MapReduce job. The distributed computing platform adapts to big data based ubiquitous learning recommender system for 21st century learners.

关键词： Recommender systems Collaboration Computational modeling Context Big data Business

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The Performance Survey of in Memory Database

The Performance Survey of in Memory Database

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international conference on Parallel and distributed Systems (ICPADS)

作者： Yinfeng Wang Guiquan Zhong Lin Kun Longxiang Wang Huang Kai Fuliang Guo Chengzhe Liu Xiaoshe Dong ShenZhen Institute of Information Technology Guangdong China ShenZhen Kingdom Limited by Share Ltd. Guangdong China Department of Computer Science Xi'an Jiaotong University Shaanxi China

To satisfy the ever-increasing performance demand of Big Data and critical applications the data management needs to offer the flexible schema, high availability, light weight replica, high volume and high scalability features so as to facilitate the transaction. The in memory database (IMDB) eliminates the I/O bottleneck by storing data in main memory. We give a deeper analysis of current main-stream IMDB systems performance which focuses on the data structure, architecture, volume, concurrency, availability and scalability. The V3 performance model is proposed to evaluate the Velocity, Volume and Varity of the 19 IMDB systems, in order to highlight the candidates with realtime transaction and high volume processing capacity coordinately. Test results clearly demonstrate that NewSQL is better at dealing with high-frequency trading models. To fully utilize the advantages of the multi-core and many-core processors capability improvements, a three-level optimization design strategy, which includes the memory-access level, the kernel-speedup level and the data-partition level also be proposed using the hardware parallelism for achieving task-level and data-level parallelism of IMDB programs, guarantees the IMDB could accelerate the real-time transaction in an efficient way. We believe that IMDB should become a compulsive option for enterprise users.

关键词： Databases Scalability Real-time systems Concurrent computing Random access memory Servers Memory management

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Low Cost IoT Software Development - Ingredient Transformation and Interconnection

Low Cost IoT Software Development - Ingredient Transformatio...

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international conference on Parallel and distributed Systems (ICPADS)

作者： Kaibin Xie Haiming Chen Xi Huang Li Cui University of Chinese Academy of Sciences Beijing Institute of Computing Technology Chinese Academy of Sciences Beijing

Sensing/actuating ingredients are software running on smart devices which are widely deployed in physical spaces and integrated into our daily life. An Internet of Things (IoT) application can be composed of multiple sets of sensing/actuating ingredients and each ingredient can satisfy specific requirement of users by processing specific physical data collected from physical world or committing an action. However, users' requirements for functionalities of ingredients and overall goals of IoT applications are diverse and may change. The application diversity leads to a rise in complexity as well as the cost of developing and maintaining the system software of an IoT application. In this work, we aim to reduce the design complexity and development cost of IoT application software. To achieve this goal, we use the software architecture PMDA which was proposed in our previous work. Here, we present a component-based formal methodology, namely FMDA, to transform the components of PMDA into sets of software modules as sensing/actuating functionality required. At the same time, we propose a connection mechanism, namely FM-CA, which can match and establish the interconnection between any two sensing/actuating ingredients as required. The behavior of FMDA and FMCA have been investigated. The evaluation results show that FMCA is more effective in reducing the cost if the requirements changing frequently or the failure probability of matching the required sensing/actuating ingredients is small.

关键词： Sensors Software systems Transforms Software architecture Complexity theory Computer architecture

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Interaction between Network Partitioning and Churn in a Self-Healing structured Overlay Network

Interaction between Network Partitioning and Churn in a Self...

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international conference on Parallel and distributed Systems (ICPADS)

作者： Ruma R. Paul Peter Van Roy Vladimir Vlassov Université catholique de Louvain Belgium KTH Royal Institute of Technology Sweden

We investigate the interaction between Network Partitioning and Churn (node turnover) in structured Overlay Networks. This work is relevant both to systems with peaks of high stress (e.g., partitions, churn) or continuous high stress. It prepares the way for new application venues in mobile and ad hoc networks, which have high node mobility and intermittent connectivity, and undergo frequent changes in network topology. We evaluate existing overlay maintenance strategies, namely Correction-on-Change, Correction-on-Use, Periodic stabilization, and Ring Merge. We define the reversibility property of a system as its ability to repair itself to provide its original functionality when the external stress is withdrawn. We propose a new strategy, Knowledge Base, to improve conditions for reversibility in the case of combined network partitioning and churn. By means of simulations, we demonstrate reversibility for overlay networks with high levels of partition and churn and we make general conclusions about the ability of the maintenance strategies to achieve reversibility. We propose a model, namely stranger Model, to generalize the impact of simultaneous network partitioning and churn. We show that this interaction causes partitions to eventually become strangers to each other, which makes full reversibility impossible when this happens. Using this model, we can predict when irreversibility arrives, which we verify via simulation. However, high levels of one only, network partitioning or churn, do not hinder reversibility. In future work we will extend these results to real systems and experiment with applications that take advantage of reversibility.

关键词： Peer-to-peer computing Maintenance engineering stress Routing Overlay networks Complex systems Predictive models

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