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37th IEEE International Conference on Distributed Computing Systems (ICDCS)

作者： Consel, Charles Kabac, Milan Inria Bordeaux Inst Technol Bordeaux France Imperial Coll London England

ISBN: (纸本)9781538617915

The domain of Internet of Things (IoT) is rapidly expanding beyond research, and becoming a major industrial market with such stakeholders as major manufacturers of chips and connected entities (i.e., things), and fast-growing operators of wide-area networks. Importantly, this emerging domain is driven by applications that leverage an IoT infrastructure to provide users with innovative, high-value services. IoT infrastructures range from small scale (e.g., homes and personal health) to large scale (e.g., cities and transportation systems). In this paper, we argue that there is a continuum between orchestrating connected entities in the small and in the large. We propose a unified approach to application development, which covers this spectrum. To do so, we examine the requirements for orchestrating connected entities and address them with domain specific design concepts. We then show how to map these design concepts into dedicated programming patterns and runtime mechanisms. Our work revolves around domain-specific concepts and notations, integrated into a tool-based design methodology and dedicated to develop IoT applications. We have applied our work across a spectrum of infrastructure sizes, ranging from an automated pilot in avionics, to an assisted living platform for the home of seniors, to a parking management system in a smart city.

关键词： Internet of things domain-specific languages programming frameworks MapReduce orchestration

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Building Enterprise-grade Internet of Things Applications 22

Building Enterprise-grade Internet of Things Applications

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22nd Asia-Pacific Software Engineering Conference (APSEC)

作者： Patel, Pankesh Kaulgud, Vikrant Chandra, Praphul Kumar, Ashok ABB Corp Res Bangalore Karnataka India Accenture Technol Labs R&D Bengaluru Karnataka India HP ES Analyt Data Labs Bengaluru Karnataka India

ISBN: (纸本)9781467396448

The last few years have seen two key trends maturing in the industry: IoT and Big Data. These trends build on more than a decade of research in both academia and industry. As the cost of instrumentation and microprocessor chips has declined, it is now possible to monitor the environment on a widening scale. The cost decline is matched by cloud computing (exposed as web services) that provides infrastructure for storage and processing. Furthermore, on top of cloud, advances in big data tools/techniques provide a platform to analyze and understand the massive amount of data. But data generated from IoT is expected not only to be Big (volume) but also Fast (velocity). Data analysis and machine learning will play a key role in unlocking the value generated by IoT data. The Internet of Things (IoT) can be thought of in terms of connecting and combining the above mentioned elements. Combination of all these elements at various levels (e.g., physical objects, cloud service, mobile with rich user interfaces, analytics) will allow access and analysis of an enormous amount of fast data, which could be used to improve efficiency and performance of the whole enterprise. Moreover, it opens the possibilities of developing IoT applications in novel scenarios such as smart metering, smart electric car recharge stations, retail & logistics, and so on. An important challenge that needs to be addressed is to enable the rapid development of IoT applications. Similar challenges have already been addressed in the closely related fields of Wireless Sensor and Actuator Networks (WSANs) and Pervasive/Ubiquitous computing. While the main challenge in the former is largely limited to similar nodes, the primary concern in the latter largely has been the heterogeneity of physical objects. The upcoming field of IoT will include both WSANs as well as heterogeneous physical objects, in addition to this it brings heterogeneity at various levels (e.g., physical objects, cloud services, smart phones

关键词： Internet of Things programming frameworks Cloud Computing Big Data Data analytics

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Orchestrating Masses of Sensors: A Design-Driven Development Approach 2015

Orchestrating Masses of Sensors: A Design-Driven Development...

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14th ACM SIGPLAN International Conference on Generative-programming - Concepts and Experiences (GPCE) co-located with SPLASH Conference

作者： Kabac, Milan Consel, Charles Inria Bordeaux Bordeaux France Univ Bordeaux Bordeaux France

ISBN: (纸本)9781450336871

This paper proposes a design-driven development approach that is dedicated to the domain of orchestration of masses of sensors. The developer declares what an application does using a domain-specific language (DSL). Our compiler processes domain-specific declarations to generate a customized programming framework that guides and supports the programming phase.

关键词： Generative programming domain-specific languages programming frameworks sensors pervasive computing

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Performance Improvements for the "Linear Nonadiabatic Nonradial Waves" Pulsational Model 16

Performance Improvements for the "Linear Nonadiabatic Nonrad...

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16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

作者： Tirsa, Mihai Ovidiu Slusanschi, Emil-Ioan Suran, Marian Doru Univ Politech Bucharest Fac Automat Control & Comp Sci Bucharest 060042 Romania Acad Romana Astron Inst Bucharest 040557 Romania

ISBN: (纸本)9781479984480

Asteroseismology is an emerging branch of astrophysics that studies the interior and global parameters of pulsating stars, based on their natural oscillation frequency. This work proposes different methods for increasing the performance of LNAWENR (Linear NonAdiabatic NonRadial WavEs), a computational intensive pulsational model that studies stars based on their seismic properties. As part of the asteroseismological package ROMOSC, LNAWENR is one of the several non-adiabatic models in use now by the international astrophysics and space science community. The model was implemented to study data from NASA's CoRoT mission. The improved version aims to be used for NASA's KEPLER mission. In this context, we employed several serial and parallel code optimizations. The programming frameworks used for the parallel optimizations are OpenMP and OpenCL.

关键词： astronomical techniques astronomy computing open systems parallel programming stellar pulsations LNAWENR NASA CoRoT mission NASA KEPLER mission asteroseismological package ROMOSC asteroseismology astrophysics international astrophysics linear nonadiabatic nonradial wave pulsational model natural oscillation frequency parallel code optimizations parallel optimizations programming frameworks pulsating stars seismic properties space science community Arrays Computational modeling Equations Mathematical model Optimization Oscillators Software Asteroseismology Open CL Open MP parallelization performance optimization asteroseismology Seismic properties Astrophysics stellar pulsations Parallel programming Computational modeling Oscillators parallelization open systems oscillation frequency Mathematical Model nonradial computer software

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A Framework for Updating Functionalities Based on the MAPE Loop Mechanism 42

A Framework for Updating Functionalities Based on the MAPE L...

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42nd Annual IEEE-Computer-Society Computers, Software and Applications (COMPSAC) Conference - Staying Smarter in a Smartening World

作者： Tsuchida, Shinya Nakagawa, Hiroyuki Tramontana, Emiliano Fornaia, Andrea Tsuchiya, Tatsuhiro Osaka Univ Grad Sch Informat Sci & Technol Osaka Japan Univ Catania Dept Math & Comp Sci Catania Italy

ISBN: (纸本)9781538626672

Embedded systems that realize specific functions are usually hardware constrained systems running dedicated software. These embedded systems rarely take into account the possibility to change functions after their release. As a result, it would be difficult to change some function from outside an embedded system in its operational environment. In order to keep up with the need of quickly reacting to changes affecting requirements and environments, it is paramount to find a way to update the functions of these systems. We constructed a programming framework for updating functions based on the MAPE loop mechanism, which is generally used to develop self-adaptive systems. We regard MAPE loop as a set of independent components that make it easy to separate the updating functions from other functions. We apply our framework to a web application and an embedded system. The proposed framework is independent of the target embedded system and makes it possible to easily inject new functions into it.

关键词： self-adaptive systems MAPE loop software evolution embedded systems programming frameworks

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A Survey of CPU-GPU Heterogeneous Computing Techniques

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ACM COMPUTING SURVEYS 2015年第4期47卷 69-69页

作者： Mittal, Sparsh Vetter, Jeffrey S. Oak Ridge Natl Lab Oak Ridge TN 37830 USA Georgia Tech Atlanta GA USA

As both CPUs and GPUs become employed in a wide range of applications, it has been acknowledged that both of these Processing Units (PUs) have their unique features and strengths and hence, CPU-GPU collaboration is inevitable to achieve high-performance computing. This has motivated a significant amount of research on heterogeneous computing techniques, along with the design of CPU-GPU fused chips and petascale heterogeneous supercomputers. In this article, we survey Heterogeneous Computing Techniques (HCTs) such as workload partitioning that enable utilizing both CPUs and GPUs to improve performance and/or energy efficiency. We review heterogeneous computing approaches at runtime, algorithm, programming, compiler, and application levels. Further, we review both discrete and fused CPU-GPU systems and discuss benchmark suites designed for evaluating Heterogeneous Computing Systems (HCSs). We believe that this article will provide insights into the workings and scope of applications of HCTs to researchers and motivate them to further harness the computational powers of CPUs and GPUs to achieve the goal of exascale performance.

关键词： Experimentation Management Measurement Performance Analysis CPU-GPU heterogeneous/hybrid/collaborative computing workload division/partitioning dynamic/static load balancing pipelining programming frameworks fused CPU-GPU chip

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Orchestrating Masses of Sensors: A Design-Driven Development Approach

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ACM SIGPLAN NOTICES 2016年第3期51卷 117-120页

作者： Kabac, Milan Consel, Charles Inria Bordeaux Bordeaux France Univ Bordeaux Bordeaux France

This paper proposes a design-driven development approach that is dedicated to the domain of orchestration of masses of sensors. The developer declares what an application does using a domain specific language (DSL). Our compiler processes domain-specific declarations to generate a customized programming framework that guides and supports the programming phase.

关键词： Generative programming domain-specific languages programming frameworks sensors pervasive computing

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Internet of Things: From Small- to Large-Scale Orchestration

Internet of Things: From Small- to Large-Scale Orchestration

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IEEE International Conference on Distributed Computing Systems

作者： Charles Consel Milan Kabac Bordeaux Institute of Technology Imperial College

ISBN: (纸本)9781538617939

The domain of Internet of Things (IoT) is rapidly expanding beyond research, and becoming a major industrial market with such stakeholders as major manufacturers of chips and connected entities (i.e., things), and fast-growing operators of wide-area networks. Importantly, this emerging domain is driven by applications that leverage an IoT infrastructure to provide users with innovative, high-value services. IoT infrastructures range from small scale (e.g., homes and personal health) to large scale (e.g., cities and transportation systems). In this paper, we argue that there is a continuum between orchestrating connected entities in the small and in the large. We propose a unified approach to application development, which covers this spectrum. To do so, we examine the requirements for orchestrating connected entities and address them with domain-specific design concepts. We then show how to map these design concepts into dedicated programming patterns and runtime mechanisms. Our work revolves around domain-specific concepts and notations, integrated into a tool-based design methodology and dedicated to develop IoT applications. We have applied our work across a spectrum of infrastructure sizes, ranging from an automated pilot in avionics, to an assisted living platform for the home of seniors, to a parking management system in a smart city.

关键词： Internet of things Domain-specific languages programming frameworks MapReduce Orchestration

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Building Enterprise-Grade Internet of Things Applications

Building Enterprise-Grade Internet of Things Applications

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Asia-Pacific Conference on Software Engineering

作者： Pankesh Patel Vikrant Kaulgud Praphul Chandra Ashok Kumar ABB Corporate Research India Accenture Technology Labs India HP ES Analytics Data Labs India

ISBN: (纸本)9781467396455

关键词： Internet of Things programming frameworks Cloud Computing Big Data Data analytics

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