Designing and Experimenting with a Distributed Tracking System

Raje, R.R.; Tüceryan, Mihran

doi:10.1109/icpads.2008.103

Cited by 2 publications

(2 citation statements)

References 15 publications

(11 reference statements)

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“…‐ Fusion service is a computational service that analyzes inputs from multiple sensor services and provides the location information of an object by merging these inputs via different algorithms such as the simple averaging technique and the Kalman filtering approach .…”

Section: Motivating Case Studymentioning

confidence: 99%

Understanding the trust of software‐intensive distributed systems

Gallege

Gamage

Hill

et al. 2015

Concurrency and Computation

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Summary An early understanding of the trust concerns while composing a distributed system from independently developed software services saves time and effort. It also allows the developer of such distributed systems to reason about the trust‐related properties of these systems. Although there are prevalent approaches for evaluating the trust of such systems, it is not clear which approach, if any, is the most comprehensive and best suited for a given situation. Moreover, there is no agreement about a unified approach, for quantifying trust, which can be applied to the entire software life‐cycle of distributed systems. This article, first, motivates the need for such a quantification of trust via a case study from the domain of indoor tracking. It then provides a comprehensive survey of current approaches that define trust, in general domains, and then focuses on the relevant approaches from the domain of software‐oriented distributed systems. These prevalent efforts are categorized into groups using existing clustering tools and then are further analyzed for their comprehensiveness. The analysis depicts: (1) many trust‐related efforts and associated models have their own constrained views of trust; (2) different trust models focus on different aspects of trust and life‐cycle details; and (3) it is difficult to interoperate across different trust models. Hence, the paper identifies a set of principles that can assist in quantifying and evaluating the trust throughout the software life‐cycle of distributed systems. These principles, then, are applied to the aforementioned case study to provide an outline of how trustworthy distributed systems can be composed from independent software services. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Motivating Case Studymentioning

confidence: 99%

Understanding the trust of software‐intensive distributed systems

Gallege

Gamage

Hill

et al. 2015

Concurrency and Computation

Self Cite

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“…The distributed tracking system (DTS) by Joshi et al [15] and its enhancement by Rybarczyk et al [16] [17] describe an efficient distributed tracking infrastructure for indoor usages. Their design is capable of communicating and fuse tracking results from multiple cameras within the system.…”

Section: Introductionmentioning

confidence: 99%

An experimental distributed framework for distributed Simultaneous Localization and Mapping

Gamage

Tüceryan

2016

2016 IEEE International Conference on Electro Information Technology (EIT)

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Simultaneous Localization and Mapping (SLAM) is widely used in applications such as rescue, navigation, semantic mapping, augmented reality and home entertainment applications. Most of these applications would do better if multiple devices are used in a distributed setting. The distributed SLAM research would benefit if there is a framework where the complexities of network communication is already handled. In this paper we introduce such framework utilizing open source Robot Operating System (ROS) and VirtualBox virtualization software. Furthermore, we describe a way to measure communication statistics of the distributed SLAM system.

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Designing and Experimenting with a Distributed Tracking System

Abstract: Abstract

Cited by 2 publications

References 15 publications

Understanding the trust of software‐intensive distributed systems

Understanding the trust of software‐intensive distributed systems

An experimental distributed framework for distributed Simultaneous Localization and Mapping

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