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Fog computing with the integration of Internet of things: Architecture, Applications and Future Directions 16

Fog computing with the integration of Internet of things: Ar...

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16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Wadhwa, Heena Aron, Rajni Lovely Profess Univ Jalandhar Dept CSE Jalandhar Punjab India Chandigarh Engn Coll Dept IT Landran Mohali Punjab India

ISBN: (纸本)9781728111414

Information Technology industry has competitiveness on the basis of technological environment. In this environment, the use of cloud services has been increasing to provide high quality services and fast delivery of products to cloud users. But still some issues are unresolved especially, related to latency between cloud data center and end user. Fog computing is used to support increasing demand of IT service with the collaboration of cloud computing. It provides computational and storage services of cloud proximate to IoT devices. Fog computing is enhancement of the cloud-based network and computing services. this paper discusses the concept, architecture of fog computing and implemented application. It also highlights about resource provisioning techniques to identify over utilization of fog nodes. Along with the resource utilization, different scheduling terminologies have also been discussed on various parameters. the motive of this survey is to understand the application of fog computing to improve the existing smart healthcare system.

关键词： Fog computing Fog Provisioning IoT with Fog computing Scheduling techniques Resource utilization Healthcare application

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Design of a Visual Front-End for Parallel Signal Processing on Underwater Search Drone 16

Design of a Visual Front-End for Parallel Signal Processing ...

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16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Cyganek, Boguslaw Wiatr, Kazimierz AGH Univ Sci & Technol Al Mickiewicza 30 PL-30059 Krakow Poland Acad Comp Ctr Cyfronet AGH Ul Nawojki 11 PL-30950 Krakow Poland

ISBN: (纸本)9781728111414

In the paper an introductory research on visual system for underwater scene change detection and environment monitoring by an autonomous underwater drone is described. the systems sensor front-end is composed of a side-scan sonar, a set of video cameras and lighting module. the system contains a number of processing blocks. First is responsible for signal filtering and conditioning. the main processing unit is based on a change detection module operating with our tensor based scene change detection unit. thanks to our developed parallel algorithm for tensor based model construction, the system is able to find abrupt scene changes, as well as presence of previously unseen objects which can be of interest and which are left for further monitored. In the work-in-progress report the system architecture, theoretical foundations, as well as preliminary experimental results are presented.

关键词： component Underwater drone Tensor change detection parallel data processing

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Network Calculus-based Modeling of Time Sensitive networking Shapers for Industrial Automation Networks

Network Calculus-based Modeling of Time Sensitive Networking...

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international conference on Wireless Communications and Signal Processing (WCSP)

作者： Xiaoyu Liu Chi Xu Haibin Yu University of Chinese Academy of Sciences Beijing China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

With the interconnection of distributed devices from different industrial automation networks, heterogeneous traffics with different Quality of Service (QoS) requirements increase dramatically. Shapers in Time-Sensitive networking (TSN) enable the coexistence of different industrial traffics within a single network infrastructure. In this paper, with full consideration of the time-criticality of different industrial traffics and shaping mechanisms, we propose a network calculus-based modeling scheme for the widely-used Credit Based Shaper (CBS) and Time Aware Shaper (TAS). then, we analyze the QoS of industrial traffics with different real-time characteristics by CBS and TAS, respectively. To evaluate the accuracy of network calculus-based modeling scheme, we compare our theoretical analysis with simulations, wherein a compactness function is defined to describe QoS compactness. Simulation results verify the effectiveness of proposed modeling scheme, by which we further validate both CBS and TAS can satisfy the QoS of traffics for different industrial automation scenarios.

关键词： Delays Quality of service Analytical models Real-time systems Calculus Automation Simulation

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High-resolution ocean winds: Hybrid-cloud infrastructure for satellite imagery processing 11

High-resolution ocean winds: Hybrid-cloud infrastructure for...

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11th IEEE international conference on Cloud computing (CLOUD) Part of the IEEE World Congress on Services

作者： Sahl, Remi Dupont, Paco Messager, Christophe Honnorat, Marc Tran Vu La Extreme Weather Expertises Exwexs Brest France

ISBN: (纸本)9781538672358

this paper puts forward a practical application of emergent cloud computing technologies that addresses issues encountered in the earth observation and meteorological domain. Ever increasing satellite capture technologies result in larger and larger data that is being processed by more and more complex algorithms for the generation of weather reports, forecasts, etc. Companies and researchers that work on this kind of processing chains struggle with storage and computing issues that cloud computing technologies can overcome. this kind of architecture becomes all the more relevant as cloud providers propose accessible pay-per-use services that make such infrastructure economically viable. this article relates the complexity of satellite data processing with the solutions that cloud computing can offer. It details use cases that highlight the need for a centralized access to data between processing resources with localization constraints, for scalable storage and distributed computing capabilities, and for hardware optimization to minimize both costs and processing time.

关键词： Cloud computing Architectures Innovative Cloud Applications and Experiences Public, Private, and Hybrid Clouds Satellite Meteorology

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Challenges for Scheduling Scientific Workflows on Cloud Functions 11

Challenges for Scheduling Scientific Workflows on Cloud Func...

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11th IEEE international conference on Cloud computing (CLOUD) Part of the IEEE World Congress on Services

作者： Kijak, Joanna Martyna, Piotr Pawlik, Maciej Balis, Bartosz Malawski, Maciej AGH Univ Sci & Technol Dept Comp Sci Krakow Poland

ISBN: (纸本)9781538672358

Serverless computing, also known as Function-asa- Service (FaaS) or Cloud Functions, is a new method of running distributed applications by executing functions on the infrastructure of cloud providers. Although it frees the developers from managing servers, there are still decisions to be made regarding selection of function configurations based on the desired performance and cost. the billing model of this approach considers time of execution, measured in 100ms units, as well as the size of the memory allocated per function. In this paper, we look into the problem of scheduling scientific workflows, which are applications consisting of multiple tasks connected into a dependency graph. We discuss challenges related to workflow scheduling and propose the Serverless Deadline-Budget Workflow Scheduling (SDBWS) algorithm adapted to serverless platforms. We present preliminary experiments with a small-scale Montage workflow run on the AWS Lambda infrastructure.

关键词： FaaS serverless computing cloud functions scientific workflow task scheduling

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About the Universal Algorithmic Space of distributed and Parallel computing 11

About the Universal Algorithmic Space of Distributed and Par...

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11th international conference "Management of Large-Scale System Development", MLSD 2018

作者： Zatuliveter, Yu.S. Fishchenko, E.A. Russian Academy of Sciences V. A. Trapeznikov Institute of Control Sciences Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9781538649244

System-wide problems were arising from the heterogeneity and strong-connectedness of the global computer environment (GCE), including computer aspects of the sustainability of social systems, are analyzed. the reasons for the integration's complexity of the heterogeneous GCE that complicate the creation of large-scale distributed and supercomputers environments are considered. the ways of removing barriers of complexity are indicated. the universal algorithmic space of distributed and parallel computing in the GCE with the new hardware component in the form of one-chip network computer with nonmicroprocessor and highly parallel architecture are presented. © 2018 IEEE.

关键词： Parallel architectures

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ContAv: a Tool to Assess Availability of Container-Based Systems 11

ContAv: a Tool to Assess Availability of Container-Based Sys...

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11th IEEE international conference on Service-Oriented computing and Applications (SOCA)

作者： Sebastio, Stefano Ghosh, Rahul Gupta, Avantika Mukherjee, Tridib Inria Rennes Rennes France Amer Express Big Data Labs Bangalore Karnataka India Conduent Labs India Bangalore Karnataka India Play Games24x7 Data Sci Bangalore Karnataka India

ISBN: (纸本)9781538691335

the momentum gained by the microservice-oriented architecture is fostering the diffusion of operating system containers. Existing studies mainly focus on the performance of containerized services to demonstrate their low resource footprints. However, availability analysis of densely deployed container-based solutions is less visited due to difficulties in collecting failure artifacts. this is especially true when the containers are combined with virtual machines to achieve a higher security level. Inspired by Google's Kubernetes architecture, in this paper, we propose ContAv, an open-source distributed statistical model checker to assess availability of systems built on containers and virtual machines. the availability analysis is based on novel state-space and non-state-space models designed by us and that are automatically built and customized by the tool. By means of a graphical interface, ContAv allows domain experts to easily parameterize the system, to compare different configurations and to perform sensitivity analysis. Moreover, through a simple Java API, system architects can design and characterize the system behavior with a failure response and migration service.

关键词： software containers virtualization cloud computing distributed system availability simulation tools

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distributed Parallelizability Analysis of Legacy Code 16

Distributed Parallelizability Analysis of Legacy Code

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16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Zhao, Junfeng Zhao, Zhimei Yang, Hongji Inner Mongolia Univ Coll Comp Sci Hohhot Peoples R China Univ Leicester Dept Informat Leicester Leics England

ISBN: (纸本)9781728111414

With the emergence of cloud computing and big data, migrating legacy systems to a cloud platform has become a trend. To make full use of the parallel advantage of cloud computing, it is necessary to refactor the legacy code according to the programming model of cloud computing. Before that, the parallelizability analysis is the first thing to do. In this paper, an approach is proposed for the distributed parallelizability analysis of legacy code, which is based on the analysis of dependency between loop iterations. According to the categories of the traditional dependency, the dependency between loop iterations is divided into three types, and the judgment rules of the dependency between loop iterations are proposed. then a distributed Parallelizability Analysis Tool (DPAT) based on Abstract Syntax Tree (AST) was developed to identify and annotate the parallelizable loops. Experimental results show that the approach can effectively identify the parallelizable code fragments, which will be the target objects of refactoring. In contrast to the existing approaches, our method can identify parallelizability between loop iterations and not limit the type of the loop.

关键词： legacy code abstract syntax tree distributed parallelizability analysis dependency between loop iterations

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Analytics of Performance and Data Quality for Mobile Edge Cloud Applications 11

Analytics of Performance and Data Quality for Mobile Edge Cl...

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11th IEEE international conference on Cloud computing (CLOUD) Part of the IEEE World Congress on Services

作者： Hong-Linh Truong Karan, Matthias TU Wien Fac Informat Vienna Austria TU Wien Alumnus Vienna Austria TU Wien Vienna Austria

ISBN: (纸本)9781538672358

Emerging edge/fog computing models have fostered new types of applications whose software components and dependent services are provisioned across distributed edge and cloud infrastructures. the design of mobile edge cloud systems is complex, thus it is important to understand suitable deployment models and test them. Since mobile edge cloud computing and its deployments are quite new, there is a lack of techniques and knowledge about possible deployments, configurations, and performance evaluation. In this paper, we present our experiences on studying the impact of performance and data quality for mobile edge cloud systems. We use a mobile edge cloud cornering assistance (MECCA) application to examine various performance and data quality impact. In this paper, we explain how by using MECCA to test performance and data quality, we draw key issues and steps in analytics of edge cloud applications and lessons learned for mobile edge computing application testing.

关键词： Cloud computing Data integrity Image edge detection Testing Software Performance evaluation"

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Predicting execution time of CUDA kernel using static analysis 16

Predicting execution time of CUDA kernel using static analys...

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16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Alavani, Gargi Varma, Kajal Sarkar, Santonu BITS Pilani KK Birla Goa Campus Sancoale Goa India

ISBN: (纸本)9781728111414

With the growing demand for performance-oriented problems, programmers routinely execute the embarrassing parallel part of the application (GPU kernels) in a GPU in order to achieve significant speedup. these applications are becoming complex and long-running which makes it energy inefficient. Anticipating its execution time can help the developers to fix the inefficient code before running it. In this paper, we propose an approach to predict the execution time of a GPU kernel without the need of executing it. We build an analytical model to predict the execution time of a GPU kernel by analyzing the intermediate PTX code of a CUDA kernel. Our experimental analysis of a set of benchmarks shows that for 45 applications the estimated execution time has the mean absolute error of 26.86% when compared to the actual execution time. Mean absolute error for benchmarks belonging to Dynamic programming dwarf is minimum, followed by Dense Linear Algebra benchmarks.

关键词： High Performance computing GPGPU Prediction Technique Analytical Model

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