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Flexible group communication protocol for distributed applications

Flexible group communication protocol for distributed applic...

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international conference on distributed computing systems Workshop

作者： T. Enokido M. Takizawa Tokyo Denki University Japan

The group protocol supports applications with enough quality of service (QoS,) in change of QoS supported by the underlying network and required by applications. A flexible group service is supported for applications by cooperation of multiple autonomous agents. Each agent dynamically and autonomously takes a class of each protocol function like retransmission which is consistent with the other agents.

关键词： Quality of service Autonomous agents Multicast protocols Delay effects Bandwidth Computer architecture Peer to peer computing Telecommunication network reliability distributed computing conferences

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distributed processing for modelling real-time multimodal perception in a virtual robot

Distributed processing for modelling real-time multimodal pe...

引用

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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Self-stabilizing failure detector algorithms

Self-stabilizing failure detector algorithms

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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： Hutle, Martin Widder, Josef TU Wien Embedded Computing Systems Group 182/2 Treitlstraße 3/2 A-1040 Wien Austria

This paper revisits the interconnection of self-stabilization and fault-tolerance. Self-stabilizing algorithms are able to recover from arbitrary system states given that from some point in time on, there are no faults. Fault-tolerance, on the other hand, refers to algorithms that cope with systems where a (bounded) part of the system (e.g. at most f out of n processes) may fail permanently. In previous work [16] we considered the interconnection of these two paradigms, i.e., algorithms that recover from arbitrary states despite of permanent faults. We have shown that in certain settings, problems as failure detection cannot be solved. This paper presents ways to circumvent this impossibility result.

关键词： distributed computer systems

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Context awareness for e-Tourism: An adaptive mobile application 23

Context awareness for e-Tourism: An adaptive mobile applicat...

引用

23rd international conference on distributed Multimedia systems, Visual Languages and Sentient systems, DMSVLSS 2017

作者： Colace, Francesco Lemma, Saverio Lombardi, Marco Italy Italy

ISBN: (纸本)189170642X

The Italian towns have a cultural heritage that often do not succeed in being completely enhanced. The natural, artistic and cultural resources present in the Italian towns, above all the smallest ones, many times remain hidden and are not enjoyed by the tourists. In this paper, it is introduced an Adaptive Context Aware app able to support a tourist inside a town. The system can guide the tourist in the discovery of a town proposing him/her resources and services mainly interesting for the user according to his/her interests and the position where he/she is. The objective is reached through the use of a system of description of the context through a graphical formalism named Context Dimension Tree. The App collects information also from social environments adapting the proposed itinerary taking into account the communities and the interests of the user. The entire approach has been tested inside the town of Salerno with very interesting results.

关键词： Ubiquitous computing

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Middleware and application adaptation requirements and their support in pervasive computing

Middleware and application adaptation requirements and their...

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international conference on distributed computing systems Workshop

作者： C. Becker G. Schiele Institute for Parallel and Distributed Systems (IPVS) University of Stuttgart Stuttgart Germany

Pervasive computing environments are characterized by an additional heterogeneity compared to existing computing infrastructures. Devices ranging from small embedded systems to full-fledged computers are connected via spontaneously formed networks. In this paper we analyze requirements of applications and system software to cope with the dynamically changing execution environment. Based on our micro-broker-based middleware BASE a component framework for pervasive computing supporting application adaptation is proposed.

关键词： Middleware Pervasive computing Quality of service distributed computing Application software Sensor systems Temperature sensors Personal digital assistants Senior citizens Concurrent computing

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A Multiple-Blockchains based Service Monitoring Framework in Edge-Cloud computing 23

A Multiple-Blockchains based Service Monitoring Framework in...

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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： Fu, Hang Wang, Puwei Li, Haoran Zhan, Ying Chen, Jinchuan Du, Xiaoyong Guizhou University of Finance and Economics Guiyang City550025 China School of Information Renmin University of China China Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education Beijing100872 China

ISBN: (纸本)9781665494571

In the edge-cloud computing, the applications usually are delivered as services, each of which runs independently and can cooperate to construct the complicated applications. However, it is difficult to monitor the services in the decentralized edge-cloud environment since there usually does not exist the central authorization to guarantee trustiness of the service quality data collected. To address the trust issue, the blockchain techniques have been introduced to the service monitoring. Considering the services usually are distributed on the edge nodes, if we deploy only a blockchain on the edge nodes near to the services, it may have to support both the service registration and monitoring because of the loose-coupling principle. That would influence the performance, even would crash the edge nodes. In this paper, we propose a multiple-blockchains based framework, including a registration blockchain that focuses on the service registration and discovery, and a set of monitoring blockchains that focus on the service invocation and monitoring. The registration blockchain is deployed on the cloud nodes, and the monitoring blockchains are deployed on the edge nodes near to the services for collecting efficiently and precisely the service quality data. Based on the cross-chain technology, we design a cross-chain service discovery between the monitoring blockchain and the registration blockchain for finding the services the requesters need. Finally, we implement the registration and monitoring blockchains based on the blockchain platform Cosmos and conduct a set of experiments to show the effectiveness of the proposed framework. © 2021 IEEE.

关键词： Authorization Cloud computing Smart cities Computer crashes Blockchains Monitoring

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ICAC 2017 - 2017 23rd IEEE international conference on Automation and computing: Addressing Global Challenges through Automation and computing

ICAC 2017 - 2017 23rd IEEE International Conference on Autom...

引用

23rd IEEE international conference on Automation and computing, ICAC 2017

ISBN: (纸本)9780701702618

The proceedings contain 128 papers. The topics discussed include: event-triggered variance-constrained finite-horizon state estimation for discrete-time systems with redundant channels;distributed sampled-data Hinf state estimation for sensor networks with nonuniform samplings;novel models for the extension pneumatic muscle actuator performances;a clustering approach to triage categorization in A&E departments;recursive filtering for two-dimensional systems with missing measurements subject to uncertain probabilities;a dynamic deformation based lubrication model between the piston rings and cylinder liner;effects of abrasive grit shape on grinding performance;neural learning and Kalman filtering enhanced teaching by demonstration for a Baxter robot;indoor object recognition using pre-trained convolutional neural network;analysis of the sitting posture comfort based on motion capture system and jack software;digital image classification and detection using a 2D-NARX model;the identification of shaft current induced defects on rolling bearings in wind turbine generators;early detection of rolling bearing faults using an auto-correlated envelope ensemble average;planetary gear fault diagnosis based on instantaneous angular speed analysis;effective task migration to reduce execution time in mobile cloud computing;a noncontact-sensor surveillance system towards assisting independent living for older people;nonlinear dynamic predictive model selection and interference using information criteria;and token passing techniques to support real time communications on WTPN used for industrial control applications.

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AutoMJ: Towards Efficient Multi-way Join Query on distributed Data-parallel Platform 23

AutoMJ: Towards Efficient Multi-way Join Query on Distribute...

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23rd IEEE international conference on Parallel and distributed systems (ICPADS)

作者： Zhu, Guanghui Wu, Xiaoqi Gu, Rong Yuan, Chunfeng Huang, Yihua Nanjing Univ Natl Key Lab Novel Software Technol Collaborat Innovat Ctr Novel Software Technol & I Nanjing 210023 Jiangsu Peoples R China

ISBN: (纸本)9781538621295

The multi-way join query has attracted considerable attention from research community for its importance in many big data analytic applications. For the multi-round multi-way join algorithm in distributed data-parallel platforms, the huge communication cost caused by shuffling large intermediate results over the network is the main bottleneck. The one-round multi-way join algorithm processes the join query in a single communication round, which can significantly reduce the communication cost in complex queries, including cyclic queries. However, the one-round method is not always superior to the multi-round method, because the intermediate result size of the multi-round method may the much smaller than the size of data shuffled in the one-round method. Therefore, it is challenging to choose the best multi-way join algorithm in practice. To solve this problem, in this paper, we present AutoMJ, an efficient framework for multi-way join queries. In AutoMJ, we propose a novel automatic join strategy selection model based on the size estimation of intermediate join results. AutoMJ chooses the multi-way join strategy with the minimal shuffle data size. In addition, we propose an optimized HyperCube algorithm for the one-round multi-way join. We have implemented the prototype of AutoMJ on the widely-used distributed data-parallel platform Apache Spark. Experiments show that for multi-way join queries with large intermediate results, the one-round join strategy can outperform the multi-round join strategy built in Spark SQL 1.2-159.3x faster. In contrast, the multi-round join strategy is 2.1-6.2 x faster than the one-round method for the queries with small intermediate results. Experiments also show that the relative error of size estimation can be within 0.1 for the Twitter dataset and 0.25 for the Wikidata dataset. Furthermore, experiments verify that the automatic join strategy selection model is effective for choosing the optimal multi-way join algorithm.

关键词： multi-way join HyperCube shuffle distributed computing join size estimation Apache Spark

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Performance-Effective DAG Scheduling for Heterogeneous distributed systems 22

Performance-Effective DAG Scheduling for Heterogeneous Distr...

引用

23rd international conference on distributed computing and Networking, ICDCN 2022

作者： Senapati, Debabrata Sarkar, Arnab Karfa, Chandan Guwahati India

ISBN: (纸本)9781450395601

The problem of scheduling Directed Acyclic Graphs (DAGs) in order to minimize schedule length (also known as makespan), is known to be a challenging as well as computationally hard problem. Therefore, researchers have endeavored towards the design of various heuristic solution generation techniques both for homogeneous as well as heterogeneous computing platforms. Traditionally, list scheduling heuristics are known to generate efficient schedules within reasonable time complexities. In this research work, we first focus on a makespan minimizing DAG scheduler for heterogeneous distributed systems. Secondly, we also formulated a problem, which is an extension of the first work, by considering a real-time application on a heterogeneous platform. We proposed an algorithm, named PRESTO that aims to minimize a generic penalty function while satisfying the resource, precedence and timing constraints. This generic penalty function can suitably tune to various optimization problems in different application domains. © 2022 ACM.

关键词： Scheduling

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Shutdown Policies with Power Capping for Large Scale computing systems 23rd

Shutdown Policies with Power Capping for Large Scale Computi...

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

作者： Benoit, Anne Lefevre, Laurent Orgerie, Anne-Cecile Rais, Issam Univ Claude Bernard Lyon 1 Univ Lyon INRIA CNRSENS LyonLIP Lyon France IRISA CNRS Rennes France

ISBN: (纸本)9783319642031;9783319642024

Large scale distributed systems are expected to consume huge amounts of energy. To solve this issue, shutdown policies constitute an appealing approach able to dynamically adapt the resource set to the actual workload. However, multiple constraints have to be taken into account for such policies to be applied on real infrastructures, in particular the time and energy cost of shutting down and waking up nodes, and power capping to avoid disruption of the system. In this paper, we propose models translating these various constraints into different shutdown policies that can be combined. Our models are validated through simulations on real workload traces and power measurements on real testb eds.

关键词： Large scale distributed systems Energy models Shutdown policies Simulations

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