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Simulation Winter Conference

作者： Simon J. E. Taylor Mohammadmersad Ghorbani Navonil Mustafee Stephen J. Turner Tamas Kiss Daniel Farkas Shane Kite Steffen Straßburger ICT Innovation Group School of Information Systems Computing and Mathematics Brunei University Uxbridge UK Centre for Parallel Computing University of Westminster London UK School of Business and Economics Swansea University Swansea UK Upper Courtyard Saker Solutions Alcester UK Parallel & Distributed Computing Centre School of Computer Engineering Nanyang Technological University Singapore Singapore School of Economic Sciences Ilmenau University of Technology Ilmenau Germany

distributed computing has many opportunities for Modeling and Simulation (M&S). Grid computing approaches have been developed that can use multiple computers to reduce the processing time of an application. In terms of M&S this means simulations can be run very quickly by distributing individual runs over locally or remotely available computing resources. distributed simulation techniques allow us to link together models over a network enabling the creation of large models and/or models that could not be developed due to data sharing or model reuse problems. Using real-world examples, this advanced tutorial discusses how both approaches can be used to benefit M&S researchers and practitioners alike.

关键词： Computational modeling Biological system modeling Data models Educational institutions computers Grid computing Software

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A Hash-based Secure Interface on Plain Connection

A Hash-based Secure Interface on Plain Connection

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International ICST Conference on Communications and Networking in China

作者： Zhenxing Liu Harjinder S. Lallie Lu Liu Yongzhao Zhan Kaigui Wu Distributed and Intelligent Systems Research Group School of Computing and Mathematics University of Derby School of Computer Science and Telecommunication Engineering Jiangsu University College of Computer Science Chongqing University

ISBN: (纸本)9781457701009

This paper proposes a hash-based secure interface between two nodes on the Internet, especial between two interfaces or two web pages. Digital signatures and public-private keys are traditionally used to provide integrity and authentication. This paper proposes an alternative method which uses a shared private key and a public hash function for a message that is sent over a plain connection without losing integrity and authentication. An additional private algorithm is needed when the message has been hashed based on the message and the salt (the shared private key), and the hashed value will be re-computed with the private algorithm to produce a string named as checksum. At the other end, when a message is received with a checksum the same process is followed to produce a new checksum. If the produced checksum is equal to the received checksum, the message is legitimate. For efficiency and reliability, a timestamp and validity period is introduced to the scheme. The salt gets more salty with time included and so does the secure interface.

关键词： Hash Functions Network Security Web Applications

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Autonomy and Intelligence in the computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

arXiv

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arXiv 2022年

作者： Kokkonen, Henna Lovén, Lauri Motlagh, Naser Hossein Kumar, Abhishek Partala, Juha Nguyen, Tri Pujol, Víctor Casamayor Kostakos, Panos Leppänen, Teemu González-Gil, Alfonso Sola, Ester Angulo, Iñigo Liyanage, Madhusanka Bennis, Mehdi Tarkoma, Sasu Dustdar, Schahram Pirttikangas, Susanna Riekki, Jukka Center for Ubiquitous Computing University of Oulu Finland Center for Machine Vision and Signal Analysis University of Oulu Finland Center for Wireless Communications University of Oulu Finland School of Computer Science University College Dublin Ireland Department of Computer Science University of Helsinki Finland Distributed Systems Group TU Wien Austria R&D Department *** S.L. Spain

Future AI applications require performance, reliability, and privacy that the existing, cloud-dependant system architectures cannot provide. In this article, we study orchestration in the device-edge-cloud continuum, and focus on edge AI for resource orchestration. We claim that to support the constantly growing requirements of intelligent applications in the device-edge-cloud computing continuum, resource orchestration needs to embrace edge AI and emphasize local autonomy and intelligence. To justify the claim, we provide a general definition for continuum orchestration, and look at how current and emerging orchestration paradigms are suitable for the computing continuum. We describe certain major emerging research themes that may affect future orchestration, and provide an early vision of an orchestration paradigm that embraces those research themes. Finally, we survey current key edge AI methods and look at how they may contribute into fulfilling the vision of future continuum orchestration. © 2022, CC BY-NC-ND.

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A blockchain-based trust management framework with verifiable interactions

arXiv

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arXiv 2021年

作者： Pala, Shantanu Hill, Ambrose Rabehaja, Tahiry Hitchens, Michael School of Computer Science Queensland University of Technology BrisbaneQLD4000 Australia School of Computer Science and Engineering University of New South Wales SydneyNSW2052 Australia Distributed Sensing Systems Group CSIRO’s Data61 BrisbaneQLD4069 Australia Risk Frontiers SydneyNSW2065 Australia Department of Computing Macquarie University SydneyNSW2109 Australia

There has been tremendous interest in the development of formal trust models and metrics through the use of analytics (e.g., Belief Theory and Bayesian models), logics (e.g., Epistemic and Subjective Logic) and other mathematical models. The choice of trust metric will depend on context, circumstance and user requirements and there is no single best metric for use in all circumstances. Where different users require different trust metrics to be employed the trust score calculations should still be based on all available trust evidence. Trust is normally computed using past experiences but, in practice (especially in centralised systems), the validity and accuracy of these experiences are taken for granted. In this paper, we provide a formal framework and practical blockchain-based implementation that allows independent trust providers to implement different trust metrics in a distributed manner while still allowing all trust providers to base their calculations on a common set of trust evidence. Further, our design allows experiences to be provably linked to interactions without the need for a central authority. This leads to the notion of evidence-based trust with provable interactions. Leveraging blockchain allows the trust providers to offer their services in a competitive manner, charging fees while users are provided with payments for recording experiences. Performance details of the blockchain implementation are provided. Copyright © 2021, The Authors. All rights reserved.

关键词： Internet of things

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Improving simulation through advanced computing techniques: Grid computing and simulation interoperability 10

Improving simulation through advanced computing techniques: ...

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Simulation Winter Conference

作者： Simon J. E. Taylor Navonil Mustafee Shane Kite Chris Wood Stephen J. Turner Steffen Straßburger ICT Innovation Group School of Information Systems Computing and Mathematics Uxbridge UK School of Business and Economics Swansea University Swansea UK Saker Solutions Upper Courtyard Alcester UK Saker Solutions Alcester UK Swansea University School of Business and Economics Wales UK Nanyang Technological University Parallel & Distributed Computing Centre School of Computer Engineering Singapore SINGAPORE Technische Universitat Ilmenau Ilmenau ThÃ¼ringen DE

ISBN: (纸本)9781424498642

Today, due to exciting developments in advanced computing techniques and technologies, many scientists can now make use of dedicated high speed networks and high performance computing. This so-called `e-Science' in enabling scientist across many fields to work together in global virtual research communities. What do these advancements mean for modeling and simulation? This advanced tutorial instigates two key areas that are affecting the way M&S projects are being developed and deployed. Grid computing addresses the use of many computers to speed up applications. Simulation Interoperability deals with linking together remote simulations and/or speeding up the execution of a single run. Through the use of case studies we hope to show that both these areas are making a major impact on the practice of M&S in both industry and science, as well as in turn supporting the future capabilities of e-Science.

关键词： Biological system modeling Computational modeling Grid computing Analytical models Middleware Mathematical model Software

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Thermosim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments

arXiv

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arXiv 2020年

作者： Gill, Sukhpal Singh Tuli, Shreshth Toosi, Adel Nadjaran Cuadrado, Felix Garraghan, Peter Bahsoon, Rami Lutfiyya, Hanan Sakellariou, Rizos Rana, Omer Dustdar, Schahram Buyya, Rajkumar School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Delhi India Faculty of Information Technology Monash University ClaytonVIC Australia Spain School of Computing and Communications Lancaster University United Kingdom School of Computer Science University of Birmingham Birmingham United Kingdom Department of Computer Science University of Western Ontario LondonON Canada School of Computer Science University of Manchester Oxford Road ManchesterUK United Kingdom School of Computer Science and Informatics Cardiff University CardiffUK United Kingdom Distributed Systems Group Vienna University of Technology Vienna Austria Laboratory School of Computing and Information Systems University of Melbourne Australia

Current cloud computing frameworks host millions of physical servers that utilize cloud computing resources in the form of different virtual machines. Cloud Data Center (CDC) infrastructures require significant amounts of energy to deliver large scale computational services. Moreover, computing nodes generate large volumes of heat, requiring cooling units in turn to eliminate the effect of this heat. Thus, overall energy consumption of the CDC increases tremendously for servers as well as for cooling units. However, current workload allocation policies do not take into account effect on temperature and it is challenging to simulate the thermal behaviour of CDCs. There is a need for a thermal-aware framework to simulate and model the behaviour of nodes and measure the important performance parameters which can be affected by its temperature. In this paper, we propose a lightweight framework, ThermoSim, for modelling and simulation of thermal-aware resource management for cloud computing environments. This work presents a Recurrent Neural Network based deep learning temperature predictor for CDCs which is utilized by ThermoSim for lightweight resource management in constrained cloud environments. ThermoSim extends the CloudSim toolkit helping to analyse the performance of various key parameters such as energy consumption, service level agreement violation rate, number of virtual machine migrations and temperature during the management of cloud resources for execution of workloads. Further, different energy-aware and thermal-aware resource management techniques are tested using the proposed ThermoSim framework in order to validate it against the existing framework (Thas). The experimental results demonstrate the proposed framework is capable of modelling and simulating the thermal behaviour of a CDC and ThermoSim framework is better than Thas in terms of energy consumption, cost, time, memory usage and prediction accuracy. Copyright © 2020, The Authors. All rights rese

关键词： Cloud computing

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Consumer participation in quality improvements for chronic disease care: Development and evaluation of an interactive patient-centered survey to identify preferred service initiatives

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Journal of Medical Internet Research 2014年第12期16卷 e292页

作者： Fradgley, Elizabeth A. Paul, Christine L. Bryant, Jamie Roos, Ian A. Henskens, Frans A. Paul, David J. Priority Research Centre for Health Behaviour School of Medicine and Public Health Hunter Medical Research Institute University of Newcastle Callaghan 2305 Australia Youth Research Center University of Melbourne Melbourne Australia Distributed Computing Research Group School of Electrical Engineering and Computer Science University of Newcastle Callaghan Australia

Background: With increasing attention given to the quality of chronic disease care, a measurement approach that empowers consumers to participate in improving quality of care and enables health services to systematically introduce patient-centered initiatives is needed. A Web-based survey with complex adaptive questioning and interactive survey items would allow consumers to easily identify and prioritize detailed service initiatives. Objective: The aim was to develop and test a Web-based survey capable of identifying and prioritizing patient-centered initiatives in chronic disease outpatient services. Testing included (1) test-retest reliability, (2) patient-perceived acceptability of the survey content and delivery mode, and (3) average completion time, completion rates, and Flesch-Kincaid reading score. Methods: In Phase I, the Web-based Consumer Preferences Survey was developed based on a structured literature review and iterative feedback from expert groups of service providers and consumers. The touchscreen survey contained 23 general initiatives, 110 specific initiatives available through adaptive questioning, and a relative prioritization exercise. In Phase II, a pilot study was conducted within 4 outpatient clinics to evaluate the reliability properties, patient-perceived acceptability, and feasibility of the survey. Eligible participants were approached to complete the survey while waiting for an appointment or receiving intravenous therapy. The age and gender of nonconsenters was estimated to ascertain consent bias. Participants with a subsequent appointment within 14 days were asked to complete the survey for a second time. Results: A total of 741 of 1042 individuals consented to participate (71.11% consent), 529 of 741 completed all survey content (78.9% completion), and 39 of 68 completed the test-retest component. Substantial or moderate reliability (Cohen's kappa>0.4) was reported for 16 of 20 general initiatives with observed percentage agreement ra

关键词： Ambulatory care Cardiology Chronic disease Consumer participation Health care surveys Medical oncology Neurology Patient-centered care

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Panel on future challenges in modeling methodology 04

Panel on future challenges in modeling methodology

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Simulation Winter Conference

作者： S.J.E. Taylor P. Lendermann R.J. Paul S.W. Reichenthal S. Strassburger S.J. Turner Centre for Applied Simulation Modeling Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK Production and Logistics Planning Group Singapore Institute of Manufacturing Technology Singapore Boeing Anaheim CA USA Department Virtual Development Fraunhofer Institute of Factory Operation and Automation Magdeburg Germany Parallel & Distributed Computin Centre School of Computer Engineering Nanyang Technological University Singapore

ISBN: (纸本)9780780387867

This panel paper presents the views of six researchers and practitioners of simulation modeling. Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter Simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks; rapid model development and maintenance; legacy modeling approaches; markup languages; virtual interactive process design and simulation; standards; and Grid computing.

关键词： Computational modeling Virtual manufacturing Logistics Human factors computer aided manufacturing Markup languages Process design Standards development Grid computing Discrete event simulation

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Panel on future challenges in modeling methodology

Panel on future challenges in modeling methodology

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Proceedings of the 2004 Winter Simulation Conference

作者： Taylor, Simon J. E. Paul, Ray J. Straßburger, Steffen Lendermann, Peter Reichenthal, Steven W. Turner, Stephen J. Ctr. for Applied Simulation Modeling Dept. of Info. Systems and Computing Brunel University Uxbridge Middx UB8 3PH United Kingdom Fraunhofer Inst. Fact. Oper. A. Department Virtual Development Sandtorstraße 22 39106 Magdeburg Germany Prod. and Logistics Planning Group Singapore Inst. of Mfg. Technology 71 Nanyang Drive Singapore 638075 Singapore Boeing 3370 Miraloma Ave. Anaheim CA 92803 United States Parallel and Distributed Comp. Ctr. School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

This panel paper presents the views of six researchers and practitioners of simulation modeling, Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter Simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks;rapid model development and maintenance;legacy modeling approaches;markup languages;virtual interactive process design and simulation;standards;and Grid computing.

关键词： Information analysis

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Algorithms and Architectures for Parallel Processing 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Jesus Carretero Javier Garcia-Blas José Daniel Garcia Sánchez Victor Gergel Vladimir Voevodin Iosif Meyerov Juan A. Rico-Gallego Juan C. Díaz-Martín Pedro Alonso Juan Durillo Alexey L. Lastovetsky Fabrizio Marozzo Qin Liu Zakirul Alam Bhuiyan Karl Fürlinger Josef Weidendorfer José Gracia

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