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New Approach Bandwidth Management Application for TCP Protocol

New Approach Bandwidth Management Application for TCP Protoc...

引用

international conference on System Theory, Control, and computing (ICSTCC)

作者： Marius C. Breabăn Ionel Gordin Adrian Graur Alin D. Potorac Stefan cel Mare University of Suceava Suceava Romania Computers Electronics and Automation Department Integrated Center for Research Development and Innovation in Advanced Materials Nanotechnologies and Distributed Systems for Fabrication and Control (MANSiD) “Ştefan cel Mare”University of Suceava Suceava Romania

The way of Internet transmission greatly varies in terms of the provided quality of services. Some ways are more reliable than others. There are often compromises: the transmission path that offers the highest throughput may not be the one that offers the least delay or the lowest cost. Therefore, the "optimal" path for an Internet packet may depend on the application and / or user's needs. Because the Internet itself does not have the ability to optimize the transmission path for a certain application or user, the IP protocol provides a (quite limited) feature for higher-level protocols to transmit information to Internet Layer about how they should treat a particular data packet. According to this issue, we developed a new application which provides a bandwidth management solution for TCP protocol according to the membership affiliation of a certain Microsoft Directory Service server group. This paper presents the new approach bandwidth management application for TCP/IP protocols.

关键词： Bandwidth Workstations Servers Protocols Quality of service Java Authentication

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Container Live Migration for Latency Critical Industrial Applications on Edge computing 23

Container Live Migration for Latency Critical Industrial App...

引用

23rd IEEE international conference on Emerging Technologies and Factory Automation (ETFA)

作者： Govindaraj, Keerthana Artemenko, Alexander Robert Bosch GmbH Corp Sect Res & Adv Engn Renningen Germany

ISBN: (纸本)9781538671085

A new level of factory automation demands processing vast amounts of data, complex orchestration of cyber-physical systems, and coordination of computation as well as communication resources in real-time. Virtualization and decentralized computation is becoming a de-facto solution for factory automation. Edge computing (EC) is a promising approach to achieve the low latencies required by many industrial systems. It employs resource rich edge servers distributed within a factory that are placed close to end devices and assist them in executing computation intensive tasks and also in coordinating with each other. This paper discusses the requirements and challenges of EC for factory automation applications. In a distributed EC infrastructure, safe and timely operation of industrial applications require load balancing and mobility support and thus a seamless service migration between the edge servers. With the recent advances in virtualization and due to its advantages, virtual machine (VM) and container technologies are pavings its way into factory. Though containers have some distinctive advantages over VMs in EC, the service live migration has comparatively high downtime. This paper proposes a novel live migration scheme called redundancy migration that reduces the downtime by a factor of 1.8 compared to the stock migration in linux containers.

关键词： containers factory automation downtime latency stateful migration

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A Reference Model for Digital Transformation and Innovation

A Reference Model for Digital Transformation and Innovation

引用

international conference on Enterprise distributed Object computing (EDOC)

作者： Silvia Bogea Gomes Flavia Maria Santoro Miguel Mira da Silva Maria-Eugenia Iacob INOV INESC Inovação Lisbon Portugal State University of Rio de Janeiro Rio de Janeiro Brazil Department of Industrial Engineering and Business Information Systems University of Twente Enschede Netherlands

Digital Transformation (DT) has a direct impact on relations and forms of consumption. New technologies are being incorporated continuously into our day-to-day life, introducing new shapes for traditional and original kinds of businesses. Nevertheless, it is interesting to notice that most novelty is based mainly on processes, rather than on technology. A DT initiative should start with conceptual modeling to organize and structure knowledge of its scope. However, there is not a specific proper language to model DT initiatives. Based on an extensive literature review, we propose an Ontology - the DI-BPM-Onto - with this purpose. The ontology proposed conceptualizes three aspects: Digital Transformation and Innovation (DT&I), Business Process Management Contextual Factors, and Digital Technology, which are independent layers, but orthogonally related. On the other side, modeling tools like the well-known standard ArchiMate are widely used by companies to provide an unambiguous understanding of their businesses, and already support the description, analysis, and visualization of most enterprise architecture (EA) elements. Therefore, in this paper, to better model DT initiatives, we propose a Reference Model that extending the ArchiMate with the main concepts of DT identified in the DI-BPM-Onto to better model DT&I initiatives and to discuss to what extent ArchiMate would support the implementation of DT&I initiatives. A practical modelling scenario concerning UBER is used to carry out a preliminary evaluation of the proposal.

关键词： Technological innovation Digital transformation Ontologies Companies Standards Proposals

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Pattern-Based Modeling of High-Performance computing Resilience 1

引用

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

作者： Hukerikar, Saurabh Engelmann, Christian Oak Ridge Natl Lab Comp Sci & Math Div POB 2009 Oak Ridge TN 37831 USA

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

With the growing scale and complexity of high-performance computing (HPC) systems, resilience solutions that ensure continuity of service despite frequent errors and component failures must be methodically designed to balance the reliability requirements with the overheads to performance and power. Design patterns enable a structured approach to the development of resilience solutions, providing hardware and software designers with the building block elements for the rapid development of novel solutions and for adapting existing technologies for emerging, extreme-scale HPC environments. In this paper, we develop analytical models that enable designers to evaluate the reliability and performance characteristics of the design patterns. These models are particularly useful in building a unified framework that analyzes and compares various resilience solutions built using a combination of patterns.

关键词： High-performance computing Resilience Patterns Performance Reliability Modeling

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Appraising SPARK on Large-Scale Social Media Analysis 1

引用

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

作者： Belcastro, Loris Marozzo, Fabrizio Talia, Domenico Trunfio, Paolo Univ Calabria DIMES Arcavacata Di Rende Italy

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

Software systems for social media analysis provide algorithms and tools for extracting useful knowledge from user-generated social media data. ParSoDA (Parallel Social Data Analytics) is a Java library for developing parallel data analysis applications based on the extraction of useful knowledge from social media data. This library aims at reducing the programming skills necessary to implement scalable social data analysis applications. This work describes how the ParSoDA library has been extended to execute applications on Apache Spark. Using a cluster of 12 workers, the Spark version of the library reduces the execution time of two case study applications exploiting social media data up to 42%, compared to the Hadoop version of the library.

关键词： Social data analysis Scalability Spark Cloud computing Parallel library Big Data

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Software-distributed Shared Memory over Heterogeneous Micro-server Architecture 1

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

作者： Cudennec, Loic CEA LIST Saclay France

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

Nowadays, the design of computing architectures not only targets computing performances but also the energy power savings. Low-power computing units, such as ARM and FPGA-based nodes, are now being integrated together with high-end processors and GPGPU accelerators into computing clusters. One example is the micro-server architecture that consists of a backbone onto which it is possible to plug computing nodes. These nodes can host high-end and low-end CPUs, GPUs, FPGAs and multi-purpose accelerators such as manycores, building up a real heterogeneous platform. In this context, there is no hardware to federate memories, and the programmability of such architectures suddenly relies on the developer experience to manage data location and task communications. The purpose of this paper is to evaluate the possibility of bringing back the convenient shared-memory programming model by deploying a software-distributed shared memory among heterogeneous computing nodes. We describe how we have built such a system over a message-passing runtime. Experimentations have been conducted using a parallel image processing application over an homogeneous cluster and an heterogeneous micro-server.

关键词： S-DSM Data coherence Heterogeneous computing

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Operational Concepts of GPU systems in HPC Centers: TCO and Productivity 1

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

作者： Schneider, Fabian P. Wienke, Sandra Mueller, Matthias S. Rhein Westfal TH Aachen IT Ctr D-52074 Aachen Germany JARA High Performance Comp D-52074 Aachen Germany

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

Nowadays, numerous supercomputers comprise GPUs due to promising high performance and memory bandwidth at low power consumption. With GPUs attached to a host system, applications could improve their runtime by utilizing both devices. However, this comes at a cost of increased development effort and system power consumption. In this paper, we compare the total cost of ownership (TCO) and productivity of different operational concepts of GPU systems in HPC centers covering various (heterogeneous) program execution models and CPU-GPU setups. Our investigations include runtime, power consumption, development effort and hardware purchase costs and are exemplified with two application case studies.

关键词： TCO Productivity Multi-GPU Operation Procurement

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Container-Based Support for Autonomic Data Stream Processing Through the Fog 1

引用

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

作者： Brogi, Antonio Mencagli, Gabriele Neri, Davide Soldani, Jacopo Torquati, Massimo Univ Pisa Dept Comp Sci Pisa Italy

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

We present a container-based architecture for supporting autonomic data stream processing application on fog computing infrastructures. Our architecture runs applications as Docker containers, and it exploits the native features of Docker to dynamically scale up/down the resources of a fog node assigned to the applications running on it. Preliminary results demonstrate that Docker containers are appropriate for building migratable autonomic solutions on fog infrastructures.

关键词： Data stream processing Autonomic computing Fog IoT Docker

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Benchmarking Heterogeneous Cloud Functions 1

引用

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

作者： Malawski, Maciej Figiela, Kamil Gajek, Adam Zima, Adam AGH Univ Sci & Technol Dept Comp Sci Krakow Poland

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

Cloud Functions, often called Function-as-a-Service (FaaS), pioneered by AWS Lambda, are an increasingly popular method of running distributed applications. As in other cloud offerings, cloud functions are heterogeneous, due to different underlying hardware, run-time systems, as well as resource management and billing models. In this paper, we focus on performance evaluation of cloud functions, taking into account heterogeneity aspects. We developed a cloud function benchmarking framework, consisting of one suite based on Serverless Framework, and one based on HyperFlow. We deployed the CPU-intensive benchmarks: Mersenne Twister and Linpack, and evaluated all the major cloud function providers: AWS Lambda, Azure Functions, Google Cloud Functions and IBM OpenWhisk. We make our results available online and continuously updated. We report on the initial results of the performance evaluation and we discuss the discovered insights on the resource allocation policies.

关键词： Cloud computing FaaS Cloud functions Performance evaluation

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A Topology and Traffic Aware Two-Level Scheduler for Stream Processing systems in a Heterogeneous Cluster 1

引用

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

作者： Eskandari, Leila Mair, Jason Huang, Zhiyi Eyers, David Univ Otago Dunedin New Zealand

ISBN: (数字)9783319751788

ISBN: (纸本)9783319751788;9783319751771

To efficiently handle a large volume of data, scheduling algorithms in stream processing systems need to minimise the data movement between communicating tasks to improve system throughput. However, finding an optimal scheduling algorithm for these systems is NP-hard. In this paper, we propose a heuristic scheduling algorithm for a heterogeneous cluster-T3 Scheduler-that can efficiently identify the communicating tasks and assign them to the same node, up to a specified level of utilisation for that node. Using three common micro-benchmarks and an evaluation using a real-world application, we demonstrate that T3-Scheduler outperforms current state-of-the-art scheduling algorithms, such as Aniello et al.'s popular 'Online scheduler', improving throughput by 20-72% for micro-benchmarks and 60% for the real-world application.

关键词： Stream processing Scheduling Big data Heterogeneous cluster

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