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

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

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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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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...

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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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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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Proceedings of the international conference on Parallel and distributed systems - ICPADS

Proceedings of the International Conference on Parallel and ...

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23rd IEEE international conference on Parallel and distributed systems, ICPADS 2017

ISBN: (纸本)9781538621295

The proceedings contain 103 papers. The topics discussed include: event description and detection in cyber-physical systems: an ontology-based language and approach;a time series classification method for battery event detection;charge-depleting of the batteries makes smartphones recognizable;concatenating road take me home: indoor navigation without infrastructure support;data collection with privacy preserving in participatory sensing;hierarchical resource distribution network based on mobile edge computing;when user interest meets data quality: a novel user filter scheme for mobile crowd sensing;and high resource utilization auto-scaling algorithms for heterogeneous container configurations.

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High Performance and Scalable Virtual Machine Storage I/O Stack for Multicore systems 23

High Performance and Scalable Virtual Machine Storage I/O St...

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

作者： Zhang, Diming Wu, Hao Xue, Fei Chen, Liangqiang Huang, Hao Nanjing Univ Dept Comp Sci & Technol Nanjing 210023 Jiangsu Peoples R China Jiangsu Univ Sci & Technol Sch Comp Sci & Engn Zhenjiang 212003 Jiangsu Peoples R China

ISBN: (纸本)9781538621295

Today extending virtualization technology into high-performance, cluster platforms generates exciting new possibilities, including dynamic allocation of resources to job, easier to share resources between different jobs, easy checkpointing of jobs, and deployment of job-specific work environment. However, there still exists an I/O scalability problem in virtualization layer which may impede virtualization technology to be widely used in high-performance computing. Because we meet a sharp performance degradation when a virtual machine uses the multiqueue high performance non-volatile storage device as the secondary storage. Such a problem is caused by the current virtual block I/O layer which uses only one I/O thread to handle all I/O operations to a virtualized storage device. As the number of I/O intensive workloads increases, the rate of mutex contention of the I/O thread is accelerated because only one of them is allowed to run at any given instant. Therefore, it is the key problem that should be settled immediately so as to improve block I/O performance in virtualization. In this paper, we propose a novel design of high performance block I/O stack to solve this problem. The workloads will be free of the I/O contention inside the hypervisor by using the proposed method which uses multi-threaded I/O threads to handle all I/O operations to one storage device in parallel. Meanwhile, we use switch-less mechanisms to reduce the overhead caused by sending notification between a VM and its hypervisor;and improve I/O affinity by assigning a distinct dedicated core to each I/O thread in order to eliminate unnecessary scheduling. The prototype system is implemented on Linux 3.19 kernel and Quick Emulator (QEMU) 2.3.1. We deploy it to the POWER8 server for a detailed evaluation. The experimental results show that the proposed architecture scales graciously with multi-core environment. For example, test on 10-ways parallel I/O intensive workloads gets an 800% increase than t

关键词： igh-performance Block I/O Scalability Multi-threaded Virtualizationigh-performance Block I/O Scalability Multi-threaded VirtualizationH

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23rd international conference on Parallel and distributed computing, Euro-Par 2017

23rd International Conference on Parallel and Distributed Co...

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23rd international conference on Parallel and distributed computing, Euro-Par 2017

ISBN: (纸本)9783319642024

The proceedings contain 51 papers. The special focus in this conference is on Parallel and distributed computing. The topics include: computing just what you need: online data analysis and reduction at extreme scales;scaling energy adaptive applications for sustainable profitability;off-road performance modeling – how to deal with segmented data;online dynamic monitoring of MPI communications;micro-benchmarking mpi neighborhood collective operations;performance characterization of de novo genome assembly on leading parallel systems;NVIDIA jetson platform characterization;following the blind seer – creating better performance models using less information;an accurate simulator of cache-line conflicts to exploit the underlying cache performance;shutdown policies with power capping for large scale computing systems;partitioning strategy selection for in-memory graph pattern matching on multiprocessor systems;efficient dynamic pinning of parallelized applications by reinforcement learning with applications;accelerating by idling: how speculative delays improve performance of message-oriented systems;optimizing egalitarian performance in the side-effects model of colocation for data center resource management;generic algorithms for scheduling applications on hybrid multi-core machines;low-cost approximation algorithms for scheduling independent tasks on hybrid platforms;runtime-assisted shared cache insertion policies based on re-reference intervals;rewriting system for profile-guided data layout transformations on binaries;hardware support for scratchpad memory transactions on GPU architectures;execution of recursive queries in apache spark;replica-aware partitioning design in parallel database systems;a simplified model for simulating the executionof a workflow in cloud;dealing with performance unpredictability in an asymmetric multicore processor cloud;deadline-aware deployment for time critical applications in clouds;an efficient communication aware heuristic for mul

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The role of technology in designing and delivering Product-service systems 23

The role of technology in designing and delivering Product-s...

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23rd international conference on Engineering, Technology and Innovation (ICE/ITMC)

作者： Sala, Roberto Zanetti, Vittorio Pezzotta, Giuditta Cavalieri, Sergio Univ Bergamo Dept Management Informat & Prod Engn Bergamo Italy

ISBN: (纸本)9781538607749

In recent years and in the current industrial and societal scenario, technologies have been increasingly playing a key role in enabling new product and service offerings. Cyber-physical systems, Additive Manufacturing, Augmented Reality and Cloud computing are some of the innovative solutions that will shape - or rather are already shaping - new business models and value propositions. Due to that, the industrial application of such technologies is currently under the lens of researchers, practitioners and policymakers. This paper addresses the employment of cutting-edge technologies for Product-Service systems (PSS) through the definition of a comprehensive classification framework embracing both business and technology-related dimensions taken from literature. Cases from secondary data help draw guidelines from practitioners willing to implement tech-based PSS.

关键词： product-service system enabling technologies qualitative framework Industry 4.0

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Accelerating by Idling: How Speculative Delays Improve Performance of Message-Oriented systems 23rd

Accelerating by Idling: How Speculative Delays Improve Perfo...

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

作者： Prokopec, Aleksandar Oracle Labs Zurich Switzerland

ISBN: (纸本)9783319642031;9783319642024

We propose a technique called speculative lagging, which improves performance by dynamically adding periods of idle execution into the message-oriented system. The speculation is guided by a statistical model, which predicts context switches that benefit from delays. We analytically derive the expected speedup, which, for a fixed confidence, allows identifying lagging opportunities in O (1) time, without a performance overhead. We describe the corresponding speculation algorithm and use it to extend an existing scheduler. Comparison with other actor frameworks on standard benchmarks shows improvements of up to 2.1x.

关键词： Computers

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Failure Analysis for distributed computing Environments 10

Failure Analysis for Distributed Computing Environments

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10th international conference on Utility and Cloud computing (UCC) / 4th international conference on Big Data computing, Applications and Technologies (BDCAT)

作者： Datskova, Olga Grigoras, Costin Shi, Weidong Univ Houston 4800 Calhoun Rd Houston TX 77004 USA European Org Nucl Res CH-1211 Geneva 23 Switzerland

ISBN: (纸本)9781450351959

distributed computing systems cover a broad range of computing infrastructures, which are heterogeneous, inter-connected and architected around stack-based deployments. Failure occurrences within such tightly-coupled systems while are expected, do not easily lend to predictive modeling due to the complex interactions between interconnected service layers. Ois work examines service level instabilities, occurring within data centers, participating in High Energy Physics (HEP) scienti_c research. We present a stability measure based on which a failure event selection process is deployed to detect periods of instability within individual data centers. Experts recognize that understanding conditions for failure is crucial when designing recovery procedures. For distributed computing systems risk and failure analysis facilitates implementation of measures for service availability, subsystem recovery and network redundancy.

关键词： Grid computing data centers reliability performance evaluation

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