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Service-Oriented Computing and Applications (SOCA), 2011 IEEE International Conference on

Date 12-14 Dec. 2011

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  • [Copyright notice]

    Publication Year: 2011 , Page(s): 1
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  • [Front matter]

    Publication Year: 2011 , Page(s): 1 - 3
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  • Organization

    Publication Year: 2011 , Page(s): 1 - 4
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  • Table of contents

    Publication Year: 2011 , Page(s): 1 - 8
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  • Green web services: Models for energy-aware web services and applications

    Publication Year: 2011 , Page(s): 1 - 8
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (565 KB) |  | HTML iconHTML  

    As the Web has evolved, web-based capabilities or web services have become a significant aspect of day-to-day routines for businesses and individuals, alike. Interactions with the Web and its services represent a significant portion of overall global power consumption. With the current national emphasis on sustainable resources and energy-efficiency, it is paramount that web processes be efficient in their use of energy. While many studies aim to reduce power consumption in network and computing hardware, our work focuses on models and frameworks to support energy-aware usage of web services (i.e. at the software and information technology (IT) process level). It will not be feasible to rely on measured power consumption when making web services usage decisions; instead predictive energy consumption models are more adequate for real-time decision support. In this paper, we introduce a model that isolates the power consumption of a particular web service within a regular server environment. The model assimilates key factors influencing the power consumption during web services executions such as server hardware characteristic, average CPU load, memory utilization, and hard drive access. Evaluative experiments demonstrate that our model can predict power consumption under varied domain-specific operations and conditions. View full abstract»

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  • Structuring and representation of scientific knowledge for a transfer through an electronic knowledge-book

    Publication Year: 2011 , Page(s): 1 - 7
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (674 KB) |  | HTML iconHTML  

    The use of scientific knowledge on waste wood management is the main factor that facilitates the responsible use of recovered wood respecting the environment. Nowadays, numerous scientific results are generated and published by universities and research institutions; but small quantities are exploited by nonscientific people. This problem is due to the difficulty of transfer and assimilation of this knowledge in its current representation. In this paper, we propose a new structure and representation of both type of scientific knowledge (declarative and procedural) to facilitate its transfer to non-scientific people through a hypertext electronic knowledge-book. The declarative scientific knowledge has been represented by concept maps and hierarchically structured through semantic relationships and the procedural scientific knowledge has been represented by technical sheets. View full abstract»

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  • An approach to open carbon footprint calculation platform design

    Publication Year: 2011 , Page(s): 1 - 3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (375 KB) |  | HTML iconHTML  

    As the climate change problem becoming an increasingly important global issue, tracking, analyzing and reducing Green House Gas (GHG) emissions at individual user and household level has attracted wide attention. In this paper, we will introduce our approach of building flexible personal carbon footprint calculation platform that can serve as a platform for automatic generation of various carbon footprint calculation and analysis applications. View full abstract»

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  • Agent-based electrical power management model for houses equipped with storage battery and photovoltaic units

    Publication Year: 2011 , Page(s): 1 - 5
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1039 KB) |  | HTML iconHTML  

    Smart grid systems have been actively discussed to realize a sustainable and a low-carbon society that efficiently consumes electric power and to introduce photovoltaic power generation, i.e., renewable energy or electric vehicles. In this study, we focus on the smart meter system based on an agent model to manage electric power use in residential homes with which solar panels and a storage battery are equipped. We evaluated the system for one month during weather changing patterns. View full abstract»

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  • IRENE: Context aware mood sharing for social network

    Publication Year: 2011 , Page(s): 1 - 8
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (580 KB) |  | HTML iconHTML  

    Social networking sites like Facebook, twitter, and myspace are becoming overwhelmingly powerful media in today's world. Facebook has 500 million active users and twitter has 190 million visitors per month and increasing each second. On the other hand number of smart phone users has crossed 45 millions. Now we are focusing on building an application that will connect these two revolutionary spheres of modern science that has huge potential in different sectors. IRENE a facial expression based mood detection model has been developed by capturing images while the users use webcam supported laptops or mobile phones. This image will be analyzed to classify one of several moods. This mood information will be shared in the user profile of Facebook according to privacy settings of the user. Several activities and events will also be generated based on the identified mood. View full abstract»

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  • Supporting context — Aware service evolution with a process management requirements model

    Publication Year: 2011 , Page(s): 1 - 8
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (309 KB) |  | HTML iconHTML  

    Context-aware services concern with reasoning about surrounding context and adapting services accordingly have attracted much research attention during recent years, whereas the relation between context-aware service evolution and requirements evolution has not caught many researchers' eye. Conventionally, requirements engineering particularly focuses on users' needs, we argue though that developers' needs must be discovered in the course of services evolution process. In this case, the connection between context-aware service evolution and requirements evolution will be fully discovered, in turn, it will better the guide as to how to evolve exiting context-aware services in order to benefit the best from current service assets. To build this connection, we propose a process management requirements model with requirements elicitation techniques to support context-aware service evolution. A medium sized open source case study is carried out for evaluation. View full abstract»

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  • An implementation of a geolocation information-sharing system

    Publication Year: 2011 , Page(s): 1 - 2
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (773 KB) |  | HTML iconHTML  

    SNS services using the Internet are more popular than ever. In particular, new services using photos and location information such as `Instagram' and `Foursqaure' have recently appeared. However, there is no service that allows users to browse to activities and post information about their current location easily. Therefore, we have developed a participatory system with a high regard for location information. View full abstract»

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  • Invariants as a unified knowledge model for Cyber-Physical Systems

    Publication Year: 2011 , Page(s): 1 - 8
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (885 KB) |  | HTML iconHTML  

    Cyber-Physical Systems (CPS) consist of distributed computation interconnected by computer networks that monitor and control switched physical entities interconnected by physical infrastructures. Finding a common semantic among these diverse components that facilitates system synthesis, verification, and monitoring is a significant challenge of a CPS research program. In the emerging smart grid, for example, system state provides input into distributed computer algorithms that manage power and energy via local computation with messaging passing over a computer network collectively resulting in control signals to advanced power electronics. Computational correctness, network timing, and frequency response are all system aspects that conspire to impede design, verification, and monitoring. This paper seeks to unify the knowledge present in these diverse aspects through developing common semantics that span each aspect of a CPS. Specifically, a “smart grid” type system is considered. Power commands to various loads and alternative energy sources are stepped in response to cyber controllers that are networked. This paper shows the development of a physical invariant, based on the theory of Lyapunov-like functions, and a cyber invariant, the governs the correctness of a power dispatch algorithm, and couples the two to develop an overall system stability invariant. The invariant approach is tested with two scenarios. In the first case, the system is subjected to two commanded pulses beyond the stable limit, with the second perturbing pulse being of a magnitude greater than the first, which makes the system unstable. In the second case, the system is subjected to two commanded pulses beyond its stable limit but with a comparatively smaller magnitude of the perturbing second pulse, which allowed the system to remain stable. The measure of stability is an energy function which, under certain conditions, serves as a Lyapunov-like invariant that is used to pro- e stability. View full abstract»

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  • Experimental feasibility study on using ultrasonic reflections for indoor human movement tracking

    Publication Year: 2011 , Page(s): 1 - 3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (317 KB) |  | HTML iconHTML  

    The localization systems using Time Difference of Arrival (TDoA) of ultrasonic and RF signals are hard to be used in practical settings because of line-of-sight limitation of the ultrasonic signal. Overcoming this limitation, novel multi-lateration method that explicitly exploiting the ultrasonic reflections was proposed. This paper verifies the proposed method by testing in the actual practical settings. As a result, the proposed method estimates the target location with estimation error smaller than 30 cm. View full abstract»

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  • EDZL scheduling for large-scale cyber service on real-time cloud

    Publication Year: 2011 , Page(s): 1 - 3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (186 KB) |  | HTML iconHTML  

    In recent years, physical sensor devices are used in many different applications, such as: Internet of Things (IoT), military, vehicle system, etc. Sensor devices are widely utilized in the real world so that a large-scale process becomes an important issue in such a cyber physical system. Large scale cyber physical system (LCPS) must have enough computing power for processing all real-time sensed data from sensor devices. LCPS can deploy a cloud platform to increase its computing power. The cloud based LCPS then serves these requests at the same time by well arranging sensor tasks based on the arrival time. Hence, cloud service can obtain better performance and more efficiency when good scheduling algorithms are implemented. In this paper, apply the early deadline first until zero laxity (EDZL) scheduling algorithm to optimize the cloud service scheduler for ensuring sensor jobs do not miss deadline in the LCPS. View full abstract»

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  • Digital-physical hybrid design: Enhancing real worlds with Augmented reality

    Publication Year: 2011 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1049 KB) |  | HTML iconHTML  

    The paper discusses how we need to design our daily environments that various computing facilities are embodied. These computer-enhanced environments become more and more virtual, and may lose the reality. Therefore, it is important to take into account how to recover the reality of the virtualized real world. If not, a user may not be able to find the right semantics of the environments, and lose how he or she behaves in the environments. We believe that the discussion is very important to discuss the design of future cyber-physical systems. View full abstract»

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  • Semantics-aware communication in sensor network applications

    Publication Year: 2011 , Page(s): 1 - 3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1196 KB) |  | HTML iconHTML  

    The constantly increasing scale of sensor network deployments has brought up a number of resource utilization, communication, and computation issues. In this paper we present a model-driven tiered architecture that allows us to address some of those challenges. Preliminary results show that this architecture could save more than 90% of the original data communication. View full abstract»

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  • A novel simulation framework for supporting real-time cyber-physical interactions

    Publication Year: 2011 , Page(s): 1 - 3
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (134 KB) |  | HTML iconHTML  

    Simulation methods are widely used when designing complex systems to reduce the development effort and cost. Especially when designing cyber-physical systems (CPSs), the importance of the simulation grows bigger and bigger. To simulate CPSs precisely, a holistic simulator is needed considering cyber and physical systems as a whole. In this paper, we clarify the limitations of the existing simulation techniques and tools when used as CPS simulators: (1) unable to reflect the realtime behavior of the system, (2) do not support interactions with external environments. To overcome these limitations, we specifically propose a two-level simulation architecture and an artificial delay concept. Then, we also address the issues to be considered when the simulator is running on a multi-core system. To apply our proposed technique with concrete application scenarios, we introduce our simulation framework targeting an automotive system simulator. View full abstract»

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  • Building intelligent middleware for large scale CPS systems

    Publication Year: 2011 , Page(s): 1 - 4
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (476 KB) |  | HTML iconHTML  

    This paper presents a study on building intelligent middleware on wireless sensor network (WSN) for large-scale cyber-physical systems (LCPS). A large portion of WSN projects has focused on low-level algorithms such as routing, MAC layers, and data aggregation. At a higher level, various WSN applications with specific target environments have been developed and deployed. Most applications are built directly on top of a small OS, which is notoriously hard to work with, and results in applications that are fragile and cannot be ported to other platforms. The gap between the low level algorithms and the application development process has received significantly less attention. Our interest is to fill that gap by developing intelligent middleware for building LCPS applications. The goal for our research is to produce a "zero-cost" deployment capability where an LCPS application does not need to be constrained on what and where sensors are deployed. An intelligent WSN middleware can automatically perform optimal sensor node configuration, bandwidth allocation, fault management, and re-configuration in response to new missions and new devices available. View full abstract»

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  • Adaptive trajectory coordination for scalable multiple robot control

    Publication Year: 2011 , Page(s): 1 - 6
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (241 KB) |  | HTML iconHTML  

    In this paper, we consider multiple robot display formation such that when users give a sequence of images as input, a large number of robots construct a sequence of formations to visualize the input images collectively. Users perceive a higher quality of responsiveness when robots respond to users' input in a more prompt and/or regular manner. A key problem in multiple robot display is trajectory coordination, which determines the robot's position and velocity along a given path while avoiding collisions. The response then consists of trajectory coordination computation time and robot moving time. In the multiple robot display, there is a conflict between reducing computation time and reducing robot moving time, and it is complicated to predict such a tradeoff over various environments. We propose an adaptive framework that exploits this tradeoff by prioritizing robots dynamically. Our simulation results show that our framework effectively reduces the response time in a scalable manner, and it produces balanced solutions adapting to various environments. View full abstract»

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  • A comprehensive framework for mobile cyber-physical applications

    Publication Year: 2011 , Page(s): 1 - 6
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (856 KB) |  | HTML iconHTML  

    Cyber-Physical Systems (CPS) are integrations of computation and physical processes. The powerful processors and variety of sensors equipped in mobile Internet devices can be leveraged to build cyber-physical applications that collect sensor data from the real world and communicate it back to services for processing and aggregation. In this paper, we present a design of a framework which can provide common functionality for mobile CPS applications. The key functionality of the framework is to capture various types of mobile contexts, store them in context repository, infer appropriate situations for the given contexts, display the context and reasoning results graphically, and invoke services for the inferred situation. By using the framework, mobile CPS application can be efficiently developed and managed. View full abstract»

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  • Testing the scalability of SaaS applications

    Publication Year: 2011 , Page(s): 1 - 4
    Cited by:  Papers (14)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (100 KB) |  | HTML iconHTML  

    Cloud computing and SaaS (Software-as-a-Service) received significant attention recently. Testing SaaS applications is important because many mission-critical applications will be deployed on the cloud. However, to the best of our knowledge, testing framework designed specifically for SaaS applications is not developed. The issue of testing the scalability of SaaS applications remains untouched. This paper discusses the unique features and challenges in testing SaaS applications, and proposes scalability metrics that can be used to test the scalability of SaaS applications. View full abstract»

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  • Service-oriented architecture for embedded machine control

    Publication Year: 2011 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (281 KB) |  | HTML iconHTML  

    A general service-oriented control system for machine automation is introduced, as an alternative to proprietary, closed solutions. The proposed platform emphasizes interoperability and introduces some novel approaches in the machine control domain, such as the usage of peer-to-peer networking with distributed service composition. As a proof of concept, the platform was applied to convert a group of work machines into a collaborating fleet providing high-level, intelligent services. View full abstract»

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  • Services utility prediction on a cloud

    Publication Year: 2011 , Page(s): 1 - 4
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1728 KB) |  | HTML iconHTML  

    Cloud computing and Software-as-a-Service (SaaS) are being widely applied. In the near future, there will be many cloud services providing similar services. One of the issues is to dispatch service requests to available services dynamically so that service requests can be served in the most effective and efficient way. This paper proposes an algorithm that efficiently serves requests for services by predicting the number of services needed. Furthermore, a cloud architectural framework to support the algorithm and prediction model is introduced. The paper also presents a simulation study to validate the algorithm proposed. View full abstract»

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  • Efficient virtualisation of real-time activities

    Publication Year: 2011 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (164 KB) |  | HTML iconHTML  

    Reservation-based scheduling has been proved to be an effective solution for serving virtual machines when some kind of real-time guarantees are required. However, the virtualisation mechanism and the algorithm used for implementing CPU reservations might have a large impact on the guarantees provided to tasks running inside the VMs. This paper presents an experimental evaluation of some different solutions, showing the different trade-offs and the advantages of using more advanced scheduling algorithms. View full abstract»

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  • Customer-aware resource overallocation to improve energy efficiency in realtime Cloud Computing data centers

    Publication Year: 2011 , Page(s): 1 - 8
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (405 KB) |  | HTML iconHTML  

    Energy efficiency is becoming a very important concern for Cloud Computing environments. These are normally composed of large and power consuming data centers to provide the required elasticity and scalability to their customers. In this context, many efforts have been developed to balance the loads at host level. However, determining how to maximize the resources utilization at Virtual Machine (VM) level still remains as a big challenge. This is mainly driven by very dynamic workload behaviors and a wide variety of customers' resource utilization patterns. This paper introduces a dynamic resource provisioning mechanism to overallocate the capacity of real-time Cloud data centers based on customer utilization patterns. Furthermore, its impact on the trade-off between energy efficiency and SLA fulfillment is analyzed. The main idea is to exploit the resource utilization patterns of each customer to decrease the waste produced by resource request overestimations. This creates the opportunity to allocate additional VMs in the same host incrementing its energy efficiency. Nevertheless, this also increases the risk of QoS affectations. The proposed model considers SLA deadlines, predictions based on historical data, and dynamic occupation to determine the amount of resources to overallocate for each host. In addition, a compensation mechanism to adjust resource allocation in cases of underestimation is also described. In order to evaluate the model, simulation experimentation was conducted. Results demonstrate meaningful improvements in energy-efficiency while SLA-deadlines are slightly impacted. However, they also point the importance of strongest compensation policies to reduce availability violations especially during peak utilization periods. View full abstract»

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