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检索条件"任意字段=International Conference on Advances in Parallel and Distributed Computing"

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Characterization of a Geostationary Satellite Thruster Plumes using Response Surface Generation 9

Characterization of a Geostationary Satellite Thruster Plume...

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9th international conference on Recent advances in Space Technologies (RAST)

作者： Saka, Yeliz Paca, Onur Ozdemir, Gurbuz Taha Korkut, Burak Atas, Omer Yaglioglu, Burak Rotorbit Engn LLC Computat Res Grp Istanbul Turkey Tubitak Uzay Space Res Inst Orbital Dynam Grp Ankara Turkey

ISBN: (纸本)9781538694480

Satellites make use of thrusters related to their missions, station keeping maneuvers and end-of-life transfers. One of the secondary effects of thruster firings are the disturbing forces and torques caused by the interactions between the plume and satellite. A comprehensive numerical effort is conducted to predict disturbing forces and torques due to thruster plume and give input to mission related performance such as the amount needed for the lifetime of the satellite. A numerical approach which is based on Direct Simulation Monte Carlo method is used to model the plume of thrusters making use of adaptive mesh refinement (AMR) and Message Passing Interface (MPI). The individual simulations are able to predict the disturbing forces and torques given the position, orientation and exit profiles of thrusters on a geostationary satellite geometry. The other major focus of the study is to efficiently sweep the design parameter space, create response surface functions (RSF) that are orders of magnitude faster than actual high fidelity simulations and feed these RSFs into orbit propagation tools.

关键词： Space Propulsion Numerical Simulations Direct Simulation Monte Carlo parallel computing Machine Learning Kriging

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Applying Fuzzy computing Methods for On-line Monitoring of New Generation Network Elements 3rd

Applying Fuzzy Computing Methods for On-line Monitoring of N...

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3rd international Scientific conference on Intelligent Information Technologies for Industry (IITI)

作者： Kotenko, Igor Saenko, Igor Ageev, Sergey Russian Acad Sci SPIIRAS St Petersburg Inst Informat & Automat 14-th Liniya 39 St Petersburg 199178 Russia ITMO Univ St Petersburg Natl Res Univ Informat Technol Mech 49 Kronverkskiy Prospekt St Petersburg Russia

ISBN: (纸本)9783030018184

New generation networks belong to the class of big sophisticated heterogeneous hierarchical geographically distributed systems. Their functional characteristics, defining reliability, are the main characteristics which provide the application of these networks for their intended purpose. The paper offers the method of on-line functional monitoring of technical states of the new generation network elements based on application of a hierarchical fuzzy logical inference. The method and the generalized algorithm of on-line functional monitoring of technical states are developed. For realization of the offered method, the technology of intelligent agents is used. The functional structure of the intelligent agent is offered. The order of its interaction with a network element is considered. Results of modeling have shown a high efficiency of the offered approach. The possibility of the hardware-software realization of the offered method and algorithm a near real time mode is shown.

关键词： New generation network Situation network Monitoring Fuzzy logical inference

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Do We Really Need Another Blockchain Framework? A Case for a Legacy-friendly distributed Ledger Implementation based on Java EE Web Technologies 15

Do We Really Need Another Blockchain Framework? A Case for a...

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15th international conference on Web Information Systems and Technologies (WEBIST)

作者： Brune, Philipp Neu Ulm Univ Appl Sci Wileystr 1 Neu Ulm Germany QWICS Enterprise Syst Taunustor 1 D-60310 Frankfurt Germany

ISBN: (纸本)9789897583865

Cryptocurrencies, blockchain technology and smart contracts could fundamentally change the way how financial products and financial services are implemented and operated. While many frameworks for implementing such blockchain applications already exist, these are usually implemented using languages either considered "fancy" today, like e.g. Go, or are traditionally used for system software, such as C++. On the other hand, the core business applications e.g. in financial services are typically implemented using enterprise platforms such as Java Enterprise Edition (EE) and/or COBOL. Therefore, to improve the integration of blockchain technology in such applications, in this paper we argue in favor of a legacy-friendly distributed ledger solution by introducing QWICSchain, an implementation build on web services using established open-source enterprise technologies such as Java EE and PostgreSQL. It supports the parallel execution of transactions on the blockchain and in existing legacy applications, thus enabling the blockchain-based modernization of existing IT infrastructures.

关键词： Blockchain distributed Ledger Technology Web Services Web Technologies Java EE Enterprise computing

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Health Data Information Retrieval For Improved Simulation

Health Data Information Retrieval For Improved Simulation

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Mario Ciampi Giuseppe De Pietro Elio Masciari Stefano Silvestri Institute for High Performance Computing and Networking of the National Research Council of Italy Via Pietro Castellino 111 Naples Italy

ISBN: (数字)9781728165820

ISBN: (纸本)9781728165837

In this paper we propose an architecture specifically devoted to the analysis of huge natural language biomedical textual collections, with the purpose of searching for semantic similarity in order to obtain useful hints for effective simulation that could help physicians in diagnosis tasks. We leverage Word Embedding models trained with word2vec algorithm and a Big Data architecture for their processing and management. We performed some preliminary analyses using a dataset extracted from the whole PubMed library and we developed a web front-end to show the usability of this methodology in a real context.

关键词： Big Data Semantics Medical services Tools Data mining Biological system modeling Data models

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2019 IEEE 38th international Performance computing and Communications conference, IPCCC 2019

2019 IEEE 38th International Performance Computing and Commu...

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38th IEEE international Performance computing and Communications conference, IPCCC 2019

ISBN: (纸本)9781728110257

The proceedings contain 64 papers. The topics discussed include: reZig: decompose a collision via reference waveform in ZigBee;developing the parallelization methods for finding the all-pairs shortest paths in distributed memory architecture;autonomous detection of synchronization attacks in the industrial Internet of things;malicious domain detection via domain relationship and graph models;using DCT-based approximate communication to improve mpi performance in parallel clusters;I know what you are doing with remote desktop;quantitative analysis of mobile application user interface design;and intelligent IoT sensing system based on compressive sensing with adaptively learned dictionary.

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Reliability, timeliness and load reduction at the edge for cloud gaming 38

Reliability, timeliness and load reduction at the edge for c...

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IEEE 38th international Performance computing and Communications conference (IPCCC)

作者： Franco, Antonio Fitzgerald, Emma Landfeld, Bjorn Korner, Ulf Warsaw Univ Technol Inst Telecommun Nowowiejska 15-19 PL-00665 Warsaw Poland Lund Univ Dept Elect & Informat Technol Lund Sweden

ISBN: (纸本)9781728110257

In this paper we study reliability, timeliness and load reduction in an hybrid Mobile Edge computing (MEC)/Cloud game streaming infrastructure. In our scenario, a user plays a game streamed by the producer to their handheld device or User Equipment (UE). The UE communicates user actions to the edge/cloud via the mobile communication infrastructure;the object is to retrieve the latest game status, of which the most important information is the rendered frame. Particularly, we study reliability through replication in a number of MEC-servers, timeliness through Age of Information (AoI) and load reduction by leveraging the X2 interface at the edge, in order to abort useless frame rendering computations. We translate it as a scenario where a sink - representing the UE - is interested in the freshest possible update from distributed nodes. Each node sends updates following a Last Come First Served (LCFS) policy with preemption. We consider two scenarios;the first is n parallel LCFS systems sending updates, and the second adds a feedback loop aimed at decreasing the number of jobs sent per second by the nodes, thus decreasing the load per node. We analyze the number of jobs sent per second and average peak Age of Information at the sink, showing that the second scheme achieves a significantly lower rate of jobs compared with the first, while maintaining constant AoI, thus reducing the load at the edge. We also find that using the feedback loop, we achieve the maximum saving in transmitted jobs per second when the average arrival rate per system is equal to the inverse of the average busy time in every node.

关键词： Age of information Queuing theory Cloud gaming Edge computing

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On-premises Serverless computing for Event-Driven Data Processing Applications 12

On-premises Serverless Computing for Event-Driven Data Proce...

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12th IEEE international conference on Cloud computing (IEEE CLOUD) held as Part of IEEE World Congress on Services (IEEE SERVICES)

作者： Perez, Alfonso Risco, Sebastian Naranjo, Diana Maria Caballer, Miguel Molto, German Univ Politecn Valencia Ctr Mixto CSIC Inst Instrumentac Imagen Mol I3M Camino Vera S-N Valencia 46022 Spain

ISBN: (纸本)9781728127057

The advent of open-source serverless computing frameworks has introduced the ability to bring the Functions-as-a-Service (FaaS) paradigm for applications to be executed on-premises. In particular, data-driven scientific applications can benefit from these frameworks with the ability to trigger scalable computation in response to incoming workloads of files to be processed. This paper introduces an open-source framework to achieve on-premises serverless computing for event-driven data processing applications that features: i) the automated provisioning of an elastic Kubernetes cluster that can grow and shrink, in terms of the number of nodes, on multi-Clouds;ii) the automated deployment of a FaaS framework together with a data storage back-end that triggers events upon file uploads;iii) a service that provides a REST API to orchestrate the creation of such functions and iv) a graphical user interface that provides a unified entry point to interact with the aforementioned services. Together, this provides a framework to deploy a computing platform to create highly-parallel event-driven file-processing serverless applications that execute on customized runtime environments provided by Docker containers that run on an elastic Kubernetes cluster. The usefulness of this framework is exemplified by means of the execution of a data-driven workflow for optimised object detection on video. The workflow is tested under three different workloads which process ten, a hundred and a thousand functions. The results show that the presented architecture is able to process such workloads taking advantage of its elasticity to make a sensible usage of the resources.

关键词： Cloud computing Scientific computing distributed Infrastructures Containers Docker

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7th international conference on Cloud computing and Big Data, JCC and BD 2019

7th International Conference on Cloud Computing and Big Data...

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7th international conference on Cloud computing and Big Data, JCC and BD 2019

ISBN: (纸本)9783030277123

The proceedings contain 12 papers. The special focus in this conference is on Cloud computing and Big Data. The topics include: Evaluating performance of web applications in (Cloud) virtualized environments;intelligent distributed system for energy efficient control;heap-based algorithms to accelerate fingerprint matching on parallel platforms;an analysis of local and global solutions to address big data imbalanced classification: A case study with smote preprocessing;data analytics for the cryptocurrencies behavior;measuring (In)variances in convolutional networks;database newsql performance evaluation for big data in the public cloud;a study of non-functional requirements in apps for mobile devices;mobile and wearable computing in patagonian wilderness;preface.

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A hybrid trust management model for secure and resource efficient vehicular ad hoc networks 20

A hybrid trust management model for secure and resource effi...

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

作者： Mahmood, Adnan Siddiqui, Sarah Ali Zhang, Wei Emma Sheng, Quan Z. Department of Computing Macquarie University SydneyNSW2109 Australia School of Computer Science University of Adelaide North Terrace AdelaideSA5005 Australia

ISBN: (纸本)9781728126166

Considerable innovative advancements in vehicular communication have led to the emerging yet promising paradigm of Internet-of-Vehicles, wherein vehicles exchange safety-critical information with minimal delay for ensuring road safety as well as efficacious traffic flows. It is, therefore, indispensable that these safety messages are authentic and reliable, and have originated from a legitimate vehicle. This demands establishing trust among vehicles such that the malicious and dishonest vehicles (and their malicious content) could be flagged and subsequently eliminated from the network. The risk manifolds if a malicious vehicle gets elected as the cluster head of other vehicles thereby compromising the safety of vehicular passengers and pedestrians on the road. Hence, intelligent algorithms should be in place to opt for the trusted and resource efficient cluster heads which could enhance the overall security and efficiency of their respective clusters. To this end, in this paper, we have proposed a scalable hybrid trust model which takes into account a composite metric encompassing the weighted trust score and available resources of each vehicle for identification of multiple malicious vehicles in real-time, and for meeting the stringent performance requirements of vehicular safety applications. Moreover, an optimal role assignment scheme based on the Hungarian algorithm has been proposed for electing the optimal cluster head, proxy cluster head, and followers among the members of a vehicular cluster so as to maximize its overall efficiency. Preliminary simulations have been carried out and are also presented in this paper. © 2019 IEEE.

关键词： Network security

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Mathematical modeling of QoS-aware fog computing architecture for iot services

Mathematical modeling of QoS-aware fog computing architectur...

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international conference on Emerging Technologies in Data Mining and Information Security, IEMIS 2018

作者： Maiti, Prasenjit Shukla, Jaya Sahoo, Bibhudatta Turuk, Ashok Kumar National Institute of Technology RourkelaOdisha769008 India

ISBN: (纸本)9789811315008

The fog computing approach has come up as a distributed mechanism for capturing of data, its further processing, and allocation of resources associated with the Internet of things (IoT). The IoT services require several quality of service (QoS) parameters such as bandwidth utilization, resource provisioning, energy consumption, service delay. A new architecture for fog computing based on QoS parameters has been designed. A distributed solution for cloud-IoT has been presented where data is distributed optimally among several fog nodes/mini-clouds. The virtual machines (VMs) located in the edge devices are facilitated by these distributed fog nodes/mini-clouds to take care of IoT traffic. However, very little research has been done on designing any QoS-aware architecture for fog computing. The mathematical formulation for the presented model has also been proposed, and hence, the performance analysis of the system is shown in terms of the QoS metrics. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Fog computing

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