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IASTED international conference on Parallel and distributed computing and Networks, as part of the 23rd IASTED international Multi-conference on Applied Informatics

作者： Chevallier, Sylvain Paugam-Moisy, Hélène Lemaître, François Institute for Cognitive Science UMR CNRS 5015 Lyon France Ecole Centrale de Lyon Ecully France

Built from a need for modelling cognitive processes, a modular neural network is designed as the "brain" of a virtual robot moving in a prey-predator environment. The robot decides its path from the animals it identifies around. Both a parallel implementation of distributed processes and a temporal coding of spiking neurons allow the robot to develop multimodal' perception with attentional mechanisms and to react in real-time to its dynamic environment.

关键词： distributed computer systems

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The PRIOmark parallel I/O-benchmark

The PRIOmark parallel I/O-benchmark

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IASTED international conference on Parallel and distributed computing and Networks, as part of the 23rd IASTED international Multi-conference on Applied Informatics

作者： Krietemeyer, Michael Versick, Daniel Tavangarian, Djamshid Department of Computer Science University of Rostock Albert-Einstein-Strasse 21 D-18059 Rostock Germany

This paper introduces the novel I/O benchmark PRIOmark that measures file system and disk I/O performance of modern computer systems. It characterizes the file system performance of single and distributed systems by means of two different file system interfaces. Disk I/O performance is measured using the operating system specific raw-devices. PRIOmark features the possibility of a complex workload definition in order to specify workloads for many different application domains. The output format simplifies comparability of benchmark results of different architectures. Additionally, the paper exemplarily illustrates the use of PRIOmark by comparing the file system performance of three file systems (NFS, GFS and PVFS) on a cluster with 12 processors.

关键词： Parallel processing systems

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Shallow Water Waves on a Deep Technology Stack: Accelerating a Finite Volume Tsunami Model Using Reconfigurable Hardware in Invasive computing 1

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23rd international conference on Parallel and distributed computing (Euro-Par)

作者： Poeppl, Alexander Damschen, Marvin Schmaus, Florian Fried, Andreas Mohr, Manuel Blankertz, Matthias Bauer, Lars Henkel, Jorg Schroeder-Preikschat, Wolfgang Bader, Michael Tech Univ Munich Dept Informat Boltzmannstr 3 D-85748 Garching Germany Karlsruhe Inst Technol Dept Informat Kaiserstr 12 D-76131 Karlsruhe Germany Friedrich Alexander Univ Erlangen Nurnberg FAU Dept Comp Sci 4 Martensstr 1 D-91058 Erlangen Germany

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

Reconfigurable architectures are commonly used in the embedded systems domain to speed up compute-intensive tasks. They combine a reconfigurable fabric with a general-purpose microprocessor to accelerate compute-intensive tasks on the fabric while the general-purpose CPU is used for the rest of the workload. Through the use of invasive computing, we aim to show the feasibility of this technology for HPC scenarios. We demonstrate this by accelerating a proxy application for the simulation of shallow water waves using the i-Core, a reconfigurable processor that is part of the invasive computing multiprocessor system-on-chip. Using a floating-point custom instruction, the entire computation of numerical fluxes occurring in the application's finite volume scheme is performed by hardware accelerators.

关键词： Invasive computing High Performance computing Tsunami simulation Reconfigurable processor Resource-aware computing

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Migrating Deep Learning Data and Applications among Kubernetes Edge Nodes 23

Migrating Deep Learning Data and Applications among Kubernet...

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Mangkhangcharoen, Suchanat Haga, Jason Rattanatamrong, Prapaporn Thammasat University Department of Computer Science Pathum Thani Thailand National Institute of Advanced Industrial Science and Technology Tsukuba Japan

ISBN: (纸本)9781665494571

Many current IoT applications deployed at the edge use deep learning (DL) in their real-time processing and analytics. Not only inference but also training is moving to edge devices. DL application and dataset migration among these devices are mandatory for scenarios like node failure, user mobility or when nodes need to collaborate (e.g., distributed training). Container technologies and Kubernetes (K8s) are being increasingly adopted to manage infrastructure at the edge. Unfortunately, there is no built-in mechanism in K8s to support migration of stateful containers between its cluster nodes. The K8s cluster's master node generally launches a new fresh container in another node to replace the failed one. While there is an existing mechanism for migrating a Pod between K8s nodes, there is no past work investigating the migration of DL datasets and containerized DL applications among K8s cluster nodes. In this paper, we present our 1) comprehensive study on the effectiveness and limitations of existing checkpointing mechanisms for containerized DL applications and 2) our comparative performance study of several approaches in migrating DL datasets and applications in a K8s cluster. Our results show that migrating states of DL applications and restoring them from their previous states enables faster recovery (reducing training time by 10 to 73 percent) than re-running these models from the beginning regardless of the percentage of epochs that have completed. Additionally, our experimental results show that transferring a dataset between K8s workers using the K8s persistent volume with kubectl cp is generally suitable and efficient. However, when network latency is high, using our customized middleware with a feedback controller to migrate data in parallel can speed up total migration time compared to the K8s's persistent volume approach alone. © 2021 IEEE.

关键词： Training Deep learning Checkpointing Computers Containers Real-time systems Internet of Things

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A software engineering approach to user-driven control of the microgrid

A software engineering approach to user-driven control of th...

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SEKE 2011 - Proceedings of the 23rd international conference on Software Engineering and Knowledge Engineering

作者： Allison, Mark Allen, Andrew A. Yang, Zhenyu Clarke, Peter J. School of Computing and Information Sciences Florida International University Miami FL 33199 United States

ISBN: (纸本)1891706292

The smart grid has been proposed as the panacea to address systemic challenges of the over fifty year old legacy electrical grid, the single largest machine on the planet. A core component central to realizing the smart grid concept is the microgrid. The microgrid is a self-sustaining entity, capable of data interchange and real-time monitoring and control of its distributed generation, storage and load components. In this paper we introduce ongoing research that uses a software engineering approach to user-driven control of the microgrid. Our approach uses a domain-specific modeling language (DSML), MGridML. and a virtual machine, MGridVM, which interprets user-defined models representing domain-level abstractions of the microgrid. MGridML captures high-level representations of pertinent domain features, based on a centralized hierarchical model of demand side energy management. A metamodel for MGridML and a prototype of the MGridVM arc presented to show the feasibility and practicality of our approach.

关键词： Hierarchical systems

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Comparing layered queuing and historical performance models of a distributed enterprise application

Comparing layered queuing and historical performance models ...

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IASTED international conference on Parallel and distributed computing and Networks, as part of the 23rd IASTED international Multi-conference on Applied Informatics

作者： Bacigalupo, David A. Jarvis, Stephen A. He, Ligang Spooner, Daniel P. Nudd, Graham R. High Performance Systems Group Department of Computer Science University of Warwick Coventry United Kingdom

Two common approaches for predicting the response times of distributed enterprise applications on new server architectures are solving queuing models and extrapolating from previously gathered performance data. The dynamic recalibration of a layered queuing model and a historical model is investigated experimentally using the IBM Websphere Performance Sample benchmark. It is found that these models can make predictions for new server architectures at a low recalibration overhead with accuracies of 84% and 83%, respectively. The methods are evaluated considering: model recalibration, the responsiveness of predictions, the systems which can be modelled, and ease of use given a minimal level of performance modelling expertise.

关键词： distributed computer systems

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CKDS: An efficient combinatorial key distribution scheme for wireless ad-hoc networks

CKDS: An efficient combinatorial key distribution scheme for...

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23rd IEEE international Performance, computing, and Communications conference (IPCCC 2004)

作者： Moharrum, M Mukkamala, R Eltoweissy, M Old Dominion Univ Dept Comp Sci Norfolk VA 23529 USA

ISBN: (纸本)0780383966

computing and communications in wireless ad hoc networks (WAHNs) generally require collaboration among groups of peers. this, in addition to a growing number of group applications over WAHNs, have motivated research in secure group communication services as a means for efficient and secure communications in WAHNs. Key distribution is at the heart of secure group communications. Existing key distribution schemes, designed for infrastructure networks, tend to be inappropriate for the infrastructure-less WAHNs. Also, most of these schemes assume network-level multicast which is difficult to implement in WAHNs. We propose a new efficient and scalable Combinatorial Key Distribution Scheme (CKDS) to support secure group communications in WAHNs. CKDS partitions nodes over a virtual Cartesian key space and uses combinatorial exclusion basis systems for key distribution over application-level multicast. We employ a fully distributed unicast key distribution underlying a virtual application-level multicast infrastructure. Two variants of CKDS are proposed, namely, m-dimensional multicast and 2D multicast. Performance analysis shows that these schemes achieve lower network traffic overhead as well as lower computational overhead per node compared to other unicast key distribution schemes in WAHNs. We also show our scheme to be scalable with respect to both computational and storage needs.

关键词： Wireless telecommunication systems

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Agent patterns for ambient intelligence

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ER 2004 workshops held in Conjunction with the 23rd international conference on Conceptual Modeling

作者： Bresciani, P Penserini, L Busetta, P Kuflik, T IRST ITC I-38050 Trento Italy

ISBN: (纸本)3540237232

The realization of complex distributed applications, required in areas such as e-Business, e-Government, and ambient intelligence, calls for new development paradigms, such as the Service Oriented computing approach which accommodates for dynamic and adaptive interaction schemata, carried on on a per-to-peer level. Multi Agent systems offer the natural architectural solutions to several requirements imposed by such an adaptive approach. This work discusses the limitation of common agent patterns, typically adopted in distributed information systems design, when applied to service oriented computing, and introduces two novel agent patterns, that we call Service Oriented Organization and Implicit Organization Broker agent pattern, respectivelly. Some design aspects of the Implicit Organization Broker agent pattern are also presented. The limitations and the proposed solutions are demonstrated in the development of a multi agent system which implements a pervasive museum visitors guide. Some of the architecture and design features serve as a reference scenario for the demonstration of both the current methods limitations and the contribution of the newly proposed agent patterns and associated communication framework.

关键词： Multi agent systems

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Combined On-line and Off-line Trust Mechanism for Agent computing

Combined On-line and Off-line Trust Mechanism for Agent Comp...

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23rd international conference on Advanced Information Networking and Applications workshops

作者： Khosravifar, Babak Bentahar, Jamal Gomrokchi, Maziar Thiran, Philippe Concordia Univ Montreal PQ Canada Univ Namur Namur Belgium

ISBN: (纸本)9781424440009

In this paper we propose an efficient mechanism dealing with trust assessment for agent societies, aiming to accurately assess the trustworthiness of the collaborating agents. In the proposed model, we formulate on-line assessment process, which applies a number of measurements affecting the evaluator agent's estimated value regarding to the evaluated agent's trust. We then represent the off-line trust assessment, which compares and adjusts the involved features with the actual performance of the evaluated agent. The off-line process updates the belief set of the evaluator agents in the sense that it adapts the agents with respect to the changes in the network. In this paper the proposed framework is described, a theoretical analysis of its assessment and its implementation along with simulations comparison with other models are provided. We also show how our model is more efficient than the existing models, particularly in very dynamic environments.

关键词： Trust Multi-Agent systems Agent Communication

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Job-shifting: An algorithm for online admission of non-preemptive aperiodic tasks in safety critical systems

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JOURNAL OF systems ARCHITECTURE 2018年 85-86卷 14-27页

作者： Syed, Ali Perez, Daniel Gracia Fohler, Gerhard Tech Univ Kaiserslautern Kaiserslautern Germany Thales Res & Technol Orsay France

Modern safety critical systems require certification in order to guarantee correct operation before system deployment. The certification process requires rigorous verification and validation, the efforts for which can be greatly reduced by using resource partitioning. However, Lackorzyriski et al. demonstrated that bandwidth reservation for event-triggered (ET) activities in partitioned systems may lead to significant bandwidth loss. In contrast, the online admission of ET activities can prevent bandwidth losses. However, the state-of-the-art approaches for online admission of ET activities fail to fulfill the requirements of safety critical systems as they do not support (i) partitioning, (ii) the industrial mixed-criticality task model or (iii) non-preemptive task execution. In this paper, we present job-shifting algorithm for online admission of non-preemptive aperiodic tasks in partitioned time-triggered environment. Our approach circumvents the bandwidth loss issue with partitioning, and provides guarantees similar to the bandwidth reservation technique such that the certification process of safety critical systems need not be modified. Our approach can be implemented on top of variety of hypervisors and can provide lower response-times for aperiodic tasks. Through evaluation, we demonstrate that our approach efficiently utilizes processor bandwidth and only incurs small scheduling overheads.

关键词： Real-time systems Scheduling algorithms Mixed-criticality Hierarchic scheduling Online aperiodic admission

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