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A fog and blockchain-based distributed Virtual Private Networks (VPN) 20

A fog and blockchain-based distributed Virtual Private Netwo...

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20th Annual international conference on distributed computing in Smart Sensor systems and the Internet of things (DCOSS-IoT)

作者： Trabelsi, Rahma Fersi, Ghofrane Jmaiel, Mohamed Natl Sch Engineers Sfax ReDCAD Lab Sfax Tunisia

ISBN: (纸本)9798350369458;9798350369441

the Internet of things (IoT) is a breakthrough technology that interconnects and empowers numerous smart devices allowing them to communicate, collect, and exchange data. the most challenging issue in IoT networks is securing exchanged data. Virtual Private Networks (VPNs) have a significant impact on ensuring security within IoT systems. So implementing a VPN-based solution can bring multiple security values to IoT systems, especially for exchanged data. However, most VPN-based solutions rely on a single central server responsible for managing all VPN connections. this presents a major problem when the number of managed VPNs increases because it will lead to the performance deterioration of the VPN server and can even lead to a single point of failure problem. We propose in this paper a distributed VPN-based solution that relies on distributed fog nodes playing the role of VPN servers. To determine the VPN server responsible for a specific communication, a fully decentralized and efficient search is guaranteed within the fog nodes through the utilization of the DHT-based Chord protocol. To enforce security and immutability, blockchain is used to verify the different criteria of a new requester to join a specific VPN. the performance evaluations have shown that our solution is efficient in terms of cost, time, and complexity.

关键词： IoT Security Blockchain distributed Virtual Private Network Fog computing

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RAS and Job log data analysis for failure prediction for the IBM Blue Gene/L

RAS and Job log data analysis for failure prediction for the...

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20th IASTED international conference on parallel and distributed computing and systems, pdcs 2008

作者： Solano-Quinde, Lizandro D. Bode, Brett M. Scalable Computing Laboratory Ames Laboratory 312 Wilhelm Hall Ames IA United States

ISBN: (纸本)9780889867741

Currently, the computational needs of scientific applications have grown to levels where it is necessary to have computers with a very high degree of parallelism. the IBM Blue Gene/L can hold in excess of 200K processors and it has been designed for high performance. However, failures in this large system are a major concern, since it has been demonstrated that a failure will drastically decrease the performance of the system. Checkpointing and log schemes have been utilized to overcome these failures, however, it has been shown that these techniques are not as effective as desired. therefore, proactive failure detection and prediction has gained interest in the research community. In this study, we have collected the RAS event and Job logs from a large IBM Blue Gene/L over a three-month period. We have investigated the relationship among fatal and non-fatal events with the aim of proactive failure prediction. Based on our observations, we have developed a scheme for predicting fatal events based on the spatial and temporal relation among fatal and nonfatal events. We will show that with our scheme up to 84% of fatal events could be effectively predicted.

关键词： Fault tolerance

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Improving Large-scale Storage System Performance via Topology-aware and Balanced Data Placement 20

Improving Large-scale Storage System Performance via Topolog...

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20th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Wang, Feiyi Oral, Sarp Gupta, Saurabh Tiwari, Devesh Vazhkudai, Sudharshan S. Oak Ridge Natl Lab Natl Ctr Computat Sci Oak Ridge TN 37830 USA

ISBN: (纸本)9781479976157

With the advent of big data, the I/O subsystems of large-scale compute clusters are becoming a center of focus. More applications are putting greater demands on end-to-end I/O performance. these subsystems are often complex in design. they comprise of multiple hardware and software layers to cope with the increasing capacity, capability, and scalability requirements of data intensive applications. However, the sharing nature of storage resources and the intrinsic interactions across these layers make it a great challenge to realize end-to-end performance gains. this paper proposes a topology-aware strategy to balance the load across resources, to improve the per-application I/O performance. We demonstrate the effectiveness of our algorithm on an extreme-scale compute cluster, Titan, at the Oak Ridge Leadership computing Facility (OLCF). Our experiments with both synthetic benchmarks and a real-world application show that, even under congestion, our proposed algorithm can improve large-scale application I/O performance significantly, resulting in both a reduction in application run time as well as a higher resolution of simulation run.

关键词： Storage Area Network parallel File System High Performance computing Performance Evaluation

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An Efficient Implementation of PBKDF2 with RIPEMD-160 on Multiple FPGAs 20

An Efficient Implementation of PBKDF2 with RIPEMD-160 on Mul...

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20th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Abbas, Ayman Voss, Rian Wienbrandt, Lars Schimmler, Manfred Christian Albrechts Univ Kiel Dept Comp Sci D-24098 Kiel Germany

ISBN: (纸本)9781479976157

A weakness of many security systems is the strength of the chosen password or key derivation function. We show how FPGA technology can be used to effectively attack cryptographic applications with a password dictionary. We have implemented two independent PBKDF2 cores each using four HMAC cores with pipelines calculating a RIPEMD-160 hash to derive encryption keys together with one resource optimized AES-256 XTS core for direct decryption on a Xilinx Spartan6-LX150 FPGA. Our design targets TRUECRYPT containers, but may be applied to similar encryption tools with little adaption. In order to save resources and maximize speed, we have further optimized the RIPEMD-160 hash function for this purpose. Our design executed on the multi-FPGA system RIVYERA S6-LX150 containing 128 S6-LX150 FPGAs, finally reaches a peak performance of about 245,000 passwords per second.

关键词： known-plaintext dictionary attack AES-XTS RIPEMD-160 PBKDF2 FPGA reconfigurable high-performance computing

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New list skeletons for the python skeleton library 20

New list skeletons for the python skeleton library

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20th international conference on parallel and distributed computing, Applications and Technologies, PDCAT 2019

作者： Loulergue, Frederic Philippe, Jolan School of Informatics Computing and Cyber Systems Northern Arizona University United States IMT Atlantique Inria LS2N UMR CNRS 6004 NantesF-44307 France

ISBN: (纸本)9781728126166

Algorithmic skeletons are patterns of parallel computations. Skeletal parallel programming eases parallel programming: a program is merely a composition of such patterns. Data-parallel skeletons operate on parallel data-structures that have often sequential counterparts. In algorithmic skeleton approaches that offer a global view of programs, a parallel program has therefore a structure similar to a sequential program but operates on parallel data-structures. PySke is such an algorithmic skeleton library for Python to program shared or distributed memory parallel architectures in a simple way. this paper presents an extension to PySke: new algorithmic skeletons on parallel lists. this extension is evaluated on an application. © 2019 IEEE.

关键词： Python

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A routing load balancing policy for grid computing environments

A routing load balancing policy for grid computing environme...

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20th international conference on Advanced Information Networking and Applications

作者： de Mello, Rodrigo Fernandes Senger, Luciano Jose Yang, Laurence Tianruo Univ Sao Paulo Inst Math Sci & Comp Sao Carlos SP Brazil Univ Estadual Ponta Grossa Dept Informat Technol Ponta Grossa PR Brazil St Francis Xavier Univ Dept Comp Sci Antigonish B2G 2W5 NS Canada

ISBN: (纸本)0769524664

the evolution of computers and networks has motivated the development of high performance systems using the distributed system concepts. Such evolution has motivated the study of load balancing techniques, low latency protocols, operating systems and middlewares. Furthermore, the evolution from distributed systems based on clusters to grid environments has motivated new researches to define load balancing algorithms to support scalable and heterogeneous computing capacity environments. In this paper, the Route load balancing algorithm is proposed, presented and evaluated. this algorithm is designed to equally distribute the workload of tasks of parallel applications over Grid computing environments. Experiments compare the performance of the proposed algorithm to others from literature. the obtained results allow to conclude that the Route algorithm is indicated for environments where there are several heterogeneous computers and parallel applications are composed of multiple tasks.

关键词： distributed computer systems

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A Bi-Layer Joint Training Reinforcement Learning Framework for Post-Disaster Rescue 20

A Bi-Layer Joint Training Reinforcement Learning Framework f...

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20th Annual international conference on distributed computing in Smart Sensor systems and the Internet of things (DCOSS-IoT)

作者： Huang, Songjun Sun, Chuanneng Gong, Jie Pompili, Dario Rutgers Univ New Brunswick Dept Elect & Comp Engn New Brunswick NJ 08901 USA Rutgers Univ New Brunswick Dept Civil & Environm Engn New Brunswick NJ USA

ISBN: (纸本)9798350369458;9798350369441

In modern post-disaster rescue missions, the deployment of Multi-Robot systems (MRSs) plays a key role in minimizing injuries and deaths among rescue personnel and civilians involved in the disaster. Achieving optimal MRS efficiency requires the implementation of a well-suited task allocation mechanism and a highly efficient pathfinding algorithm. However, due to inconsistent communication and low bandwidth, traditional frameworks in the mentioned domains may be impractical or may not work well. To address these problems, a novel Bi-Layer Joint Training Reinforcement (BJoT-RL) framework is proposed where, in the first layer, a Multi-Head Deep Q-Learning (MHDQN) is designed to perform task allocation;whereas, in the second layer, a Condition-Constrained Q-Learning (CCQ) is proposed to perform pathfinding. Noticeably, the output of each layer is used in the training of the other layer to realize a tight coupling, hence the innovative joint training. thorough simulations show that the BJoT-RL framework performs better than state-of-the-art solutions in such applications.

关键词： Multi-Agent Reinforcement Learning distributed Learning and computing Task Allocation Pathfinding

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Evaluation of Occupancy Detection with distributed Environmental Sensors for IoT Applications 20

Evaluation of Occupancy Detection with Distributed Environme...

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20th Annual international conference on distributed computing in Smart Sensor systems and the Internet of things (DCOSS-IoT)

作者： Bovo, Matteo Agyeman, Rockson Arif, Muhammad Rinner, Bernhard Univ Udine Dipartimento Matemat Informat & Fis Udine Italy Univ Klagenfurt Inst Networked & Embedded Syst Klagenfurt Austria AAU SAL USE Lab Silicon Austria Labs Klagenfurt Austria

ISBN: (纸本)9798350369458;9798350369441

Occupancy refers to the presence of people in rooms and buildings. It is an essential input for IoT applications, including controlling lighting, heating, access, and monitoring space limitation policies. Occupancy information can also be used to improve users' comfort and to reduce energy waste in buildings. this paper evaluates the performance and resource consumption of recent machine learning techniques for occupancy detection and measurement by exploiting data from distributed environmental sensors. this evaluation is founded on a dataset captured by our dedicated sensor network for indoor monitoring, comprising temperature, humidity, and carbon dioxide (CO2) sensors. Using different sensor modalities and spatio-temporal data selections, we compare eight classification algorithms based on the accuracy achieved and the required runtimes. Binary classification for occupancy detection (OD) achieves accuracies over 90% for individual modalities and close to 100% for modality combinations. Multi-class classification for occupancy measurements (OM) shows as clear ranking of the sensor modalities, and gradient boosting algorithms are superior when combining sensor modalities and fusing data from multiple sensors.

关键词： sensor network indoor environments multiclass classification sensor fusion smart rooms

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Layout-aware Expandable Low-degree Topology 20

Layout-aware Expandable Low-degree Topology

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20th IEEE international conference on parallel and distributed systems (ICPADS)

作者： Truong, Nguyen T. Nguyen, Van K. Le, Nhat T. X. Fujiwara, Ikki Chaix, Fabien Koibuchi, Michihiro Ha Noi Univ Sci & Technol 1 Dai Co Viet Rd Hanoi Vietnam Natl Inst Informat Chiyoda Ku Tokyo Japan

ISBN: (纸本)9781479976157

System expandability becomes a major concern for highly-parallel computers and datacenters, because their number of nodes gradually increases year by year. In this context we propose a low-degree expandable topology and its floor layout in which a cabinet or node set can be newly inserted by connecting short cables to a single existing cabinet. Our graph analysis shows that the proposed topology has low diameter, low average shortest path length and short aggregate cable length comparable to existing topologies with the same degree. When incrementally adding nodes and cabinets to the proposed topology, its diameter and average shortest path length increase modestly. Flit-level network simulation results show that the proposed topology has lower latency for three synthetic traffic patterns as expected from graph analysis. Our event-driven network simulation results show that the proposed topology provides a comparable performance to 2-D torus even for bandwidth-sensitive parallel applications.

关键词： Network expandability network topologies small-world networks interconnection networks high-performance computing

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An Multi-client Web-based Interactive HCI for Interactive Supercomputing 20

An Multi-client Web-based Interactive HCI for Interactive Su...

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20th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD 2019)

作者： Yamamoto, Yuya Arakawa, Fumitaka Fuji, Ayaka Fukuma, Shinji Mori, Shin-ichiro Univ Fukui Dept Informat Sci Bunkyo 3-9-1 Fukui 9108507 Japan

ISBN: (纸本)9781728116518

Importance of the realtime data analysis even in the HPC area rapidly increase in the recent data intensive science. Once the realtime data analysis becomes available, the interactive feedback to the data source will be happening to make thing improve. In order to realize such an environment for scientific simulation, the framework for interactive supercomputing has been developed so far. However, user interaction of that framework was limited to a certain closed environment. In this paper, web-based ubiquitous interface that allows simultaneous sharing of on-going simulation among multiple users is proposed.

关键词： Interactive systems Ubiquitous computing remote handling supercomputers

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