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Interconnectedness of complex systems of internet of things through social network analysis for disaster management

Interconnectedness of complex systems of internet of things ...

引用

2012 4th International Conference on Intelligent Networking and Collaborative systems, INCoS 2012

作者： Zelenkauskaite, Asta Bessis, Nik Sotiriadis, Stelios Asimakopoulou, Eleana Department of Telecommunications Indiana University Bloomington IN United States Distributed and Intelligent Systems Research Group University of Derby Derby United Kingdom Department of Computer Science and Technology University of Bedfordshire Luton United Kingdom

ISBN: (纸本)9780769548081

This visionary paper presents the Internet of Things paradigm in terms of interdependent dynamic dimensions of objects and their properties. Given that in its current state Internet of Things (IoT) has been viewed as a paradigm based on hierarchical distribution of objects, evaluation of the dynamic nature of the hierarchical structures faces challenges in its evaluation and analysis. Within this in mind, our focus is on the area of complex social networks and the dynamic social network construction within the context of IoT. This is by highlighting and addressing the tagging issues of the objects to the real-world domain such as in disaster management, these are in relation to their hierarchies and interrelation within the context of social network analysis. Specifically, we suggest to investigate and deepen the understanding of the IoT paradigm through the application of social network analysis as a method for interlinking objects - and thus, propose ways in which IoT could be subsequently interlinked and analyzed through social network analysis approach - which provides possibilities for linking of the objects, while extends it into real-world domain. With this in mind, we present few applications and key characteristics of disaster management and the social networking analysis approach, as well as, foreseen benefits of its application in the IoT domain. © 2012 IEEE.

关键词： Internet of things

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Disaster management and profile modelling of IoT objects: Conceptual parameters for interlinked objects in relation to social network analysis

Disaster management and profile modelling of IoT objects: Co...

引用

2012 4th International Conference on Intelligent Networking and Collaborative systems, INCoS 2012

ISBN: (纸本)9780769548081

In recent years, the emergence of ubiquitous and pervasive computing suggests the radical transformation of the Internet to incorporate physical objects. The transformation suggests the enabling of a new form of communication and interaction style that incorporates people, their smart devices and their physical objects through the utilization of distributed sensors spread in the environment. In this study, we propose extending Internet of Things (IoT) by modelling an IoT enabled smart environment as a whole, representing the dynamic communication and interaction among all objects (users, devices, physical objects and sensors). This is by recognizing and categorizing objects' properties in the form of a generic profile. We also reflect this in a disaster management context. That is by identifying which of the parameters of these smart objects are fixed, constant and persistent over time and which parameters are actually change over time, i.e. those characterized by their transient and dynamic nature. Thus, through the process of communication and interaction of the objects, we analyze parameters by demonstrating their static and/or dynamic properties as well as those supporting context-aware variables which are evident in disaster scenarios. To achieve these goals, we designed the persistent or temporal relationships to encompass internal information of smart-objects, along with their characteristics that actually depict their capacity to offer services to users by properties' matchmaking. The interlinked relationships represent a 'social network' providing a terrain of flexible scenarios that would lead to tailored parameters to fit user preferences. To enable communication among them in a dynamic dimension we utilized a distributed topology in which communication could occur indirectly between objects. Finally, we detailed a generic - but equally applicable for disaster management - case scenario in which we used graph theory to demonstrate how embedded intelligenc

关键词： Internet of things

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Kernel methods based approaches to image classification and retrieval

Kernel methods based approaches to image classification and ...

引用

International Conference on Advanced Computing, ICAC

作者： C. Chandra Sekhar Sasi Kumar Madhan Subhas Raj Kumar Buyya Department of Computer Science and Engineering Indian Institute of Technology Madras CDAC Pune Chronus Corporation Computer Science and Software Engineering and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne Australia

Support vector machine (SVM) is a pattern classification model suitable for classification and annotation of images using non-vectorial type representations of images. Varying length patterns extracted from image data correspond to sets of local feature vectors. Kernels designed for varying length patterns are called as dynamic kernels. The talk presents the issues in designing the dynamic kernel based SVMS for classification and annotation of images. Different methods for designing the dynamic kernels are presented. An intermediate matching kernel (IMK) for a pair of varying length patterns is constructed by matching the pairs of local feature vectors selected using a set of virtual feature vectors. For patterns corresponding to sets of feature vectors, a Gaussian mixture model (GMM) is used as the set of virtual feature vectors. The GMM-based IMK is considered for image processing tasks such as image classification, matching and annotation in content-based image retrieval. The talk presents results of experimental studies on image classification, annotation and retrieval of images using the kernel methods.

关键词： Cloud computing Kernel Technological innovation Support vector machine classification Learning systems Hidden Markov models Computational modeling

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Interconnectedness of Complex systems of Internet of Things through Social Network Analysis for Disaster Management

Interconnectedness of Complex Systems of Internet of Things ...

引用

International Conference on Intelligent Networking and Collaborative systems (INCOS)

作者： Asta Zelenkauskaite Nik Bessis Stelios Sotiriadis Eleana Asimakopoulou Department of Telecommunications Indiana University Bloomington USA Distributed and Intelligent Systems Research Group University of Derby Derby UK Department of Computer Science and Technology University of Bedfordshire Luton UK

This visionary paper presents the Internet of Things paradigm in terms of interdependent dynamic dimensions of objects and their properties. Given that in its current state Internet of Things (IoT) has been viewed as a paradigm based on hierarchical distribution of objects, evaluation of the dynamic nature of the hierarchical structures faces challenges in its evaluation and analysis. Within this in mind, our focus is on the area of complex social networks and the dynamic social network construction within the context of IoT. This is by highlighting and addressing the tagging issues of the objects to the real-world domain such as in disaster management, these are in relation to their hierarchies and interrelation within the context of social network analysis. Specifically, we suggest to investigate and deepen the understanding of the IoT paradigm through the application of social network analysis as a method for interlinking objects -- and thus, propose ways in which IoT could be subsequently interlinked and analyzed through social network analysis approach - which provides possibilities for linking of the objects, while extends it into real-world domain. With this in mind, we present few applications and key characteristics of disaster management and the social networking analysis approach, as well as, foreseen benefits of its application in the IoT domain.

关键词： Social network services Context Sensors Internet Disaster management Wireless sensor networks

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Disaster Management and Profile Modelling of IoT Objects: Conceptual Parameters for Interlinked Objects in Relation to Social Network Analysis

Disaster Management and Profile Modelling of IoT Objects: Co...

引用

International Conference on Intelligent Networking and Collaborative systems (INCOS)

关键词： Social network services Context Organizations Disaster management Sensors Object recognition Internet

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Modeling and analysis of sharing ratio enforcement in private BitTorrent communities

Modeling and analysis of sharing ratio enforcement in privat...

引用

2011 IEEE International Conference on Communications, ICC 2011

作者： Jia, Adele L. D'Acunto, Lucia Meulpolder, Michel Pouwelse, Johan A. Parallel and Distributed Systems Group Department of Computer Science Delft University of Technology Netherlands

ISBN: (纸本)9781612842332

Providing incentives for user contribution has been one of the primary design goals of Peer-to-Peer systems. The newly-emerged BitTorrent private communities adopt Sharing Ratio Enforcement (SRE) on top of BitTorrent's incentive mechanism, Tit-For-Tat, in order to strictly enforce a minimum contribution a member has to provide, in relation to the amount of service it has received. In this paper, we provide a theoretical model to analyze 1) how SRE provides seeding incentives, and 2) how SRE influences the download performance in the system. Specifically, we study the influence of the SRE threshold (i.e., the minimum sharing ratio requirement) and the bandwidth heterogeneity of the peers in the system. In our analysis, we assume users to be rational, i.e., peers seed only the minimum amount required by SRE, and we show that the download performance as predicted by our model represents a lower bound for the actual performance that can be reached in a BitTorrent private community. Hence, following our model, community administrators can predict the minimum performance level their systems will be able to reach. © 2011 IEEE.

关键词： Peer to peer networks

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BitTorrent's dilemma: Enhancing reciprocity or reducing inequity

BitTorrent's dilemma: Enhancing reciprocity or reducing ineq...

引用

2011 IEEE Consumer Communications and Networking Conference, CCNC'2011

作者： Jia, Adele L. D'Acunto, Lucia Meulpolder, Michel Pouwelse, Johan A. Epema, Dick H. J. Parallel and Distributed Systems Group Department of Computer Science Delft University of Technology Netherlands

ISBN: (纸本)9781424487905

Enhancing reciprocity has been one of the primary motivations for the design of incentive policies in BitTorrent-like P2P systems. Reciprocity implies that peers need to contribute their bandwidth to other peers if they want to receive bandwidth in return. However, the over-provisioning that characterizes today's BitTorrent communities and the development of many next-generation P2P systems with real-time constraints (e.g., for live and on-demand streaming) suggest that more effort can be devoted to reducing the inequity (i.e., the difference of service received) among peers, rather than only enhancing reciprocity. Inspired by this observation, in this work we analyze in detail several incentive mechanisms that are used in BitTorrent systems, and explore several strategies that influence the balance between reciprocity and equity. Our study shows that (i) reducing inequity leads to a better overall system performance, and (ii) the behavior of seeders (i.e., peers that hold a complete copy of the file and upload it for free) influences whether reciprocity is enhanced or inequity reduced. © 2011 IEEE.

关键词： Bandwidth

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Exchanging data agreements in the DaaS model

Exchanging data agreements in the DaaS model

引用

2011 IEEE Asia-Pacific Services Computing Conference, APSCC 2011

作者： Truong, Hong-Linh Dustdar, Schahram Götze, Joachim Fleuren, Tino Müller, Paul Tbahriti, Salah-Eddine Mrissa, Michael Ghedira, Chirine Distributed Systems Group Vienna University of Technology Austria Department of Computer Science University of Kaiserslautern Germany Université de Lyon CNRS UMR5205 France

ISBN: (纸本)9780769546247

Rich types of data offered by data as a service (DaaS) in the cloud are typically associated with different and complex data concerns that DaaS service providers, data providers and data consumers must carefully examine and agree with before passing and utilizing data. Unlike service agreements, data agreements, reflecting conditions established on the basis of data concerns, between relevant stakeholders have got little attention. However, as data concerns are complex and contextual, given the trend of mixing data sources by automated techniques, such as data mashup, data agreements must be associated with data discovery, retrieval and utilization. Unfortunately, exchanging data agreements so far has not been automated and incorporated into service and data discovery and composition. In this paper, we analyze possible steps and propose interactions among data consumers, DaaS service providers and data providers in exchanging data agreements. Based on that, we present a novel service for composing, managing, analyzing data agreements for DaaS in cloud environments and data marketplaces. © 2011 IEEE.

关键词： E-discovery Automated recording Data sources data types

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Modeling and Analysis of Sharing Ratio Enforcement in Private BitTorrent Communities

Modeling and Analysis of Sharing Ratio Enforcement in Privat...

引用

IEEE International Conference on Communications (ICC)

作者： Adele L. Jia Lucia D'Acunto Michel Meulpolder Johan A. Pouwelse Parallel and Distributed Systems Group Department of Computer Science Delft University of Technology Netherlands

关键词： Thin film transistors Communities Analytical models Bandwidth Peer to peer computing Mathematical model Steady-state

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Fast download but eternal seeding: The reward and punishment of Sharing Ratio Enforcement

Fast download but eternal seeding: The reward and punishment...

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International Conference on Peer-to-Peer Computing

作者： Adele L. Jia Rameez Rahman Tamás Vinkó Johan A. Pouwelse Dick H.J. Epema Parallel and Distributed Systems Group Department of Computer Science Delft University of Technology Netherlands

Many private BitTorrent communities employ Sharing Ratio Enforcement (SRE) schemes to incentivize users to contribute their upload resources. It has been demonstrated that communities that use SRE are greatly oversupplied, i.e., they have much higher seeder-to-leecher ratios than communities in which SRE is not employed. The first order effect of oversupply under SRE is a positive increase in the average downloading speed. However, users are forced to seed for extremely long times to maintain adequate sharing ratios to be able to start new downloads. In this paper, we propose a fluid model to study the effects of oversupply under SRE, which predicts the average downloading speed, the average seeding time, and the average upload capacity utilization for users in communities that employ SRE. We notice that the phenomenon of oversupply has two undesired negative effects: a) Peers are forced to seed for long times, even though their seeding efforts are often not very productive (in terms of low upload capacity utilization); and b) SRE discriminates against peers with low bandwidth capacities and forces them to seed for longer durations than peers with high capacities. To alleviate these problems, we propose four different strategies for SRE, which have been inspired by ideas in social sciences and economics. We evaluate these strategies through simulations. Our results indicate that these new strategies release users from needlessly long seeding durations, while also being fair towards peers with low capacities and maintaining high system-wide downloading speeds.

关键词： Communities Steady-state Peer to peer computing Bandwidth IEEE Communications Society Analytical models Thin film transistors

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