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Task Offloading Based on Utility Optimization in Collaborative Edge computing Systems

Task Offloading Based on Utility Optimization in Collaborati...

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Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Bingxue Zhang Xisheng Li Jia You School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Beijing Engineering Research Center of Industrial Spectrum Imaging Beijing China

ISBN: (数字)9798350363203

ISBN: (纸本)9798350363210

In collaborative edge computing systems, offloading computation tasks from users to edge nodes can effectively address the issues of insufficient terminal computing capabilities and high latency, high overhead of cloud computing processing. System overhead and utility metrics are critical factors that impact operational efficiency and inform task offloading decisions. This paper proposes a new utility evaluation model and, by considering task completion time constraints and energy consumption overhead, establishes an overhead-utility balanced optimization method to address task offloading problem and enhance system operational efficiency of collaborative systems. We propose a heuristic solution based on simulated annealing and particle swarm optimization to solve the overhead-utility balanced optimization problem effectively. Through experimental simulation testing, our proposed heuristic solution can efficiently achieve the balance between low system overhead and high utility in making task offloading decisions, fully utilize system resources, and enhance operational efficiency.

关键词： Measurement Systems operation Evaluation models Collaboration Simulated annealing Minimization Time factors Servers Particle swarm optimization Edge computing

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Smart informatics for Emerging Applications

Smart Informatics for Emerging Applications

引用

2016 ieee international conference on progress in informatics and computing

作者： Hasan M Jamil University of Idaho

Complex systems such as social dynamics and interactions, ecosystems and their management, public policies, living systems modeling, behavioral development and learning, and science require rich collection of diverse data and sophisticated analytics to respond to user queries. The distributive nature of data, associated uncertainties and the special purpose tool needed to interpret them add a layer of barrier that is difficult to cross. Recent efforts to craft new applications have met with the challenges related to volume of gathered data and the speed with which they can be accessed and analyzed. The complex nature of the data, are demanding novel ways of visualizing, and interpreting and summarizing generated massive results. Recent trend in data management using NoSQL, key word search and NLP underscore the need to push boundaries of human computer interaction technologies to allow even the most na?ve users the capacity to interact with the computer systems to access information in their preferred ways. The quest for developing smart, self-managing and ubiquitous systems for the emerging applications are leveraging cutting edge research such as autonomous data integration, entity recognition, graph analysis and graph matching, data mining, context understanding, crowd computing, autonomous analytics orchestration, workflow composition, and query intent recognition. Research is intense toward developing intelligent user interfaces that assemble such building blocks in interchangeable plug and play fashion to serve as a conduit for information gathering. In this talk, we will examine several novel applications of education, life sciences, ecology and geology to understand their technology needs. We will discuss the challenges they face and identify cutting edge research that can be leveraged by these systems. We will discuss several systems that are currently at the prototype stage and highlight their salient features. In particular, we will present the outline of

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Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction

Online Nonparametric Max-Margin Matrix Factorization for Col...

引用

ieee international conference on Data Mining (ICDM)

作者： Zhi Qiao Peng Zhang Wenjia Niu Chuan Zhou Peng Wang Li Guo Institute of Computing Technology of the Chinese Academy of Sciences QCIS University of Technology Sydney Australia Institute of Information Engineering Chinese Academy of Sciences

ISBN: (纸本)9781479943012

Max-margin matrix factorization (M3F) has been popularly applied to collaborative filtering for personalized recommendations. The nonparametric M3F model represents the latest progress of the M3F methods, which can auto-select the number of factors by using nonparametric techniques. However, existing non-parametric M3F methods assume a collection of user rating data can be fully obtained before training, and they are inapplicable for on-the-fly recommender systems where user rating data arrive continuously. In this paper, we present a new efficient online nonparametric 3F model for flexible recommendation. Specifically, we design an online nonparametric M3F model (OnM3F) based on the online Passive-Aggressive learning and solve the corresponding optimization problem by using the online stochastic gradient descent. Empirical studies on two large real-world data sets verify the effectiveness of the proposed method.

关键词： Collaboration Data models Adaptation models Bayes methods Computational modeling Learning systems Optimization

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Cardiac ultrasound multiview fusion using a multicamera tracking system

Cardiac ultrasound multiview fusion using a multicamera trac...

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ieee EMBS international conference on Information Technology Applications in Biomedicine (ITAB)

作者： Kumaradevan Punithakumar Peter W. Wood Marina Biamonte Michelle Noga Pierre Boulanger Harald Becher Department of Radiology & Diagnostic Imaging University of Alberta AB Canada ABACUS Mazankowski Alberta Heart Institute AB Canada Department of Computing Science University of Alberta AB Canada

This study presents a novel approach to fuse multiple three-dimensional ultrasound scans using a multi-camera tracking system. Recent advances in echocardiography allow real-time three-dimensional dynamic acquisition of the heart. However, one of the major limitations of the three-dimensional echocardiography is the limited field-of-view (FOV), which may lead to an acquisition insufficient to cover the whole geometry of the heart. Recently, methods to improve the FOV and image quality have been introduced by acquiring multiple conventional single-view images with small transducer movements. These methods rely on image registration to align singleview images, and therefore, require sufficient overlap between images to obtain accurate alignment. In this study, we propose a method that relies on a multi-camera tracking system external to the images for image alignment, and therefore, it does not have the constraints of image overlap or quality. The multicamera tracking system is capable of tracking position and orientation information of several objects simultaneously. The accuracy of the alignment of the multi-camera tracking system is superior to the image resolution of echocardiography images. In this pilot project, we used a dynamic heart phantom and a cuboid gelatin phantom to evaluate our method and showed that the proposed method yielded an accurate alignment of image volumes in three-dimensional space.

关键词： Ultrasonic imaging Transducers Tracking Echocardiography Heart Phantoms Image quality

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Smart adaptation of beacons transmission rate and power for enhanced vehicular awareness in VANETs

Smart adaptation of beacons transmission rate and power for ...

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international conference on Intelligent Transportation

作者： Sofiane Zemouri Soufiene Djahel John Murphy University College Dublin School of Computer Science and Informatics Ireland University College Dublin Lero School of Computer Science and Informatics Ireland

In this work, we are interested in periodic beacons transmission, the main cause of the Control Channel (CCH) congestion and the major obstacle delaying the progress of safety messages dissemination in VANETs. In order to offload the network, solutions that range from transmit rate to transmit power adaptations including hybrid solutions have been proposed. Although some of these solutions have managed to successfully reduce the load on the wireless channel, none, to the best of our knowledge, have considered the impact of the applied adaptation scheme on the overall level of awareness among vehicles and its quality. ETSI TS released a technical specification stating a limit for the minimum beacons transmit rate in order to maintain a good level of awareness among vehicles and ensure a certain accuracy in VANET applications. In this paper, we propose to jointly adapt both transmit rate and power in a new smart way that guarantees a strict beaconing frequency as well as a good level of awareness in closer ranges, while maintaining a marginal beacons collision rate and a good level of channel utilisation. First, the transmit rate is adapted to meet the channel requirements in terms of collision rate and channel load; then, once the minimum beacon transmit rate, set by ETSI, has been reached, transmit power is adapted in a way that guarantees a good level of awareness for closer neighbours. The simulation results show a significant enhancement in terms of the quality as well as the level of awareness.

关键词： Vehicles Safety Roads Educational institutions Telecommunication standards Vehicular ad hoc networks

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ModConTR: A modular and configurable trust and reputation-based system for secure routing in ad-hoc networks

ModConTR: A modular and configurable trust and reputation-ba...

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ACS/ieee international conference on Computer Systems and Applications

作者： George Hatzivasilis Ioannis Papaefstathiou Charalampos Manifavas Dept. of Electronic and Computer Engineering Technical University of Crete Chania Crete Greece Dept. of Informatics Engineering Technological Educational Institute of Crete Heraklion Crete Greece

Distributed wireless networks have become popular due to the evolution of the Internet-of-Things. These networks utilize ad-hoc routing protocols to interconnecting all nodes. Each peer forwards data for other nodes on the basis of network connectivity and a set of conventions that is determined by the routing protocol. Still, these protocols fail to protect legitimate nodes against several types of selfish and malicious activity. Thus, trust and reputation schemes are integrated with pure routing protocols to provide secure routing functionality. In this paper we propose ModConTR - a modular and adaptable trust and reputation-based system for secure routing. The system is composed of 11 different components which can be configured at runtime to adjust to each application's security and performance requirements. Presented work includes three possible configurations of ModConTR, considering ultra-lightweight, low-cost and lightweight implementations. Moreover, predefined configurations permit the implementation of the reasoning process for well-known secure routing protocols. Thus, we present a security and performance analysis for each of the components, including a comparative analysis of 10 complete trust and reputation schemes under identical attack scenarios. ModConTR is implemented using the NS2 simulator and is integrated with the DSR routing protocol.

关键词： Routing Security Routing protocols Ad hoc networks Fading Wireless sensor networks Peer-to-peer computing

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Paramics-based PD-type Iterative Learning Control for On-ramp Metering

Paramics-based PD-type Iterative Learning Control for On-ram...

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2014 ieee international conference on Service Operations and Logistics,and informatics

作者： H. Gao Y.-F. Zhao S.-S. Li Q.-J. Kong Qingdao Academy of Intelligent Industries Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences

In this work,we apply the PD-type iterative learning control method to address the traffic density control problem in a microscopic level freeway environment with ramp *** the traffic density control problem is an output tracking problem with an appropriate tracking *** order to verify the effectiveness of proposed method,we perform comparison experiments on the microscopic traffic simulation platform Paramics,and PD-type iterative learning control exhibits an excellent control performance in the experiments.

关键词： density tracking freeway control Iterative Learning Control on-ramp metering Paramics

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A Generic Framework for Synchronized Distributed Data Management in Archaeological Related Disciplines

A Generic Framework for Synchronized Distributed Data Manage...

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ieee international conference on e-Science and Grid computing

作者： Johannes-Y. Lohrer Daniel Kaltenthaler Peer Kröger Christiaan H. van der Meijden Henriette Obermaier Institute for Informatics Ludwig-Maximilians-Universitat Munich Germany Ludwig-Maximilians-Universitat Munchen Munchen Bayern DE Bavarian State Collection for Anthropology and Palaeoanatomy Munich Germany

In this paper, we describe xBook, a generic, open-source e-Science infrastructure for distributed, relational data management that is particularly designed for the needs of archaeological related disciplines. The key feature of xBook is that it can be used as an offline resource at remote sites during excavations and can be synchronized with a central server at any time. While some scientists can record data in xBook in the field where no internet connection is available, colleagues can already work with and analyze the previously synchronized data via the central server at any location in the world. Due to the modular implementation, any relational data schema can be implemented in xBook. This way, xBook provides a flexible data management service that is not tailored to a specific discipline or view but can be customized to any specific need to support e-Science applications. It could potentially be used in any application and offers the synchronization feature to any domain. Incarnations of the xBook framework are used in archaeology, and archaeobiology (anthropology and archaezoology). We will highlight one of them, OssoBook, an e-Science service that implements a data model for animal remains from archaeological sites (mainly bones) and has emerged as one of the European standards for archaeozoology.

关键词： Synchronization Servers Internet Graphical user interfaces Distributed databases Data analysis

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Instrumentation to detect contamination of insulating oil in motors applied to electrical submersible pump

Instrumentation to detect contamination of insulating oil in...

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ieee/IAS international conference on Industry Applications (INDUSCON)

作者： Andres O. Salazar Diego A. M. Fonsêca André L. Martelli Francisco Fontes Filipe de Oliveira Quintaes Department of Computing and Automation Engineering Federal University of Rio Grande do Norte Natal RN Brazil Universidade Federal do Rio Grande do Norte Natal RN BR Informatics Department Federal Institute of Rio Grande do Norte Natal RN Brazil

The purpose of this paper is to presents a design of a magnetic sensor capable of detecting contamination of insulating oil used in the artificial lift method of oil-type electrical submersible pump (ESP). The sensor generates an alarm signal at the moment when the contamination oil is present. This signal is transmitted to the surface by communication system which uses the tree-phase motor power. This diagnostic information enables the implementation of predictive maintenance (condition monitoring) functions. For plant operators, this therefore makes it possible to detect faults in advance and implement measures to improve operational reliability and keep the downtimes of plants to a minimum. The prototype was designed to work in harsh conditions to reach a depth of 2000 m and temperatures up to 200 C. It used simulator software to define the mechanical and electromagnetic variables. Results of field experiments were performed to validate the prototype. The final results performed in an ESP system with a 62-HP motor showed a good reliability and fast response of the prototype.

关键词： Magnetic flux Magnetic cores Induction motors Contamination Coils Oil insulation Ferrites

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Identification and characterization of accessory genomes in bacterial species based on genome comparison and metagenomic recruitment

Identification and characterization of accessory genomes in ...

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ieee international conference on Bioinformatics and Biomedicine (BIBM)

作者： Mingjie Wang Haixu Tang Yuzhen Ye School of Informatics and Computing Indiana University Bloomington IN USA

ISBN: (纸本)9781479956708

Accessory genomes in bacterial species carry important genetic elements that are frequently related to antibiotic resistance, virulence factors, and the biotransformation of xenobiotics. Facilitated by the recent advances in sequencing technology, bacterial genomes and metagenomes are accumulating at an unprecedented pace, providing opportunities for studies of accessory genomes. Comparison of closely related genomes reveals potential (and static) accessory genomes, and metagenomic recruitment (i.e., mapping metagenomic sequences onto reference genomes) provides insights into the nature and the dynamics of the accessory portion of the genomes. Recent metagenomic recruitment approaches focus on the identification of `metagenomic islands' (MIs), segments in reference genomes that are under-recruiting in metagenomic samples and therefore likely to be mobile genetic elements (MGEs) in accessory genomes. However, the discovery of MIs often relies on manual inspection of the read recruitment plots. Here we introduce a method that integrates comparison of closely related genomes using A-Bruijn graph, metagenomic recruitment, and recurrent analysis for the identification and characterization of accessory genomes. In addition to metage-nomic islands (valleys), our method reveals `metagenomic peaks' (MPs), segments in a reference genome that disproportionally recruit more metagenomic sequencing reads as compared to the remaining of the reference genome, indicating an enrichment of those segments in specific environments. Our method facilitates automated detection and characterization of accessory genomes at a large scale, and leads to the observation that MGEs are largely specific to environments, as demonstrated in the discovery of MGEs related to Streptococcus mitis in human microbiomes.

关键词： Genomics Strain Microorganisms Recruitment Iterative methods Sequential analysis Bioinformatics

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