Supply chain management and NFC picking demonstrations using the AspireRfid middleware platform

Kefalakis, Nikos; Leontiadis, Nektarios; Soldatos, John; Gama, Kiev; Donsez, Didier

doi:10.1145/1462735.1462751

Cited by 18 publications

(10 citation statements)

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“…The target application scenario for validating our self-adaptive approach is illustrated in Figure 5, showing a simplified view of a network of machines constituting an RFID supply chain presented in [14]. It illustrates the network infrastructure behind a supply chain where the products information comes from multiple places.…”

Section: Validationmentioning

confidence: 99%

A fault deployment and activation approach for testing self-recovery mechanisms

Gama

Donsez

2014

Proceedings of the 29th Annual ACM Symposium on Applied Computing

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The hypotheses on potential sources of error in an application can be specified in a fault model, which is useful for testing and for fault detection mechanisms. Based on a fault model, we developed custom mechanisms for providing self-recovery behavior in a component platform when third-party components behave inappropriately. In order to perform the tests for validating such mechanisms, it would be necessary to use a technique for fault injection so we could simulate faulty behavior. However such a technique may not be appropriate for a component-based approach. The behavior of systems tested with faults injected in the interface level (e.g., passing invalid parameters) would not represent actual application usage, thus significantly differing from cases where faults are injected in the component level (e.g. emulation of internal component errors). This paper presents our approach for testing, involving a general model for fault deployment and activation. Faulty components deployed at runtime represent faulty behaviors from the fault model. These faults are remotely activated through test probes that help testing the effectiveness of the platform's self-adaptive mechanisms.

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Section: Validationmentioning

confidence: 99%

A fault deployment and activation approach for testing self-recovery mechanisms

Gama

Donsez

2014

Proceedings of the 29th Annual ACM Symposium on Applied Computing

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“…The target application scenario for validating our self-adaptive approach is illustrated in Figure 6, showing a simplified view of a network of machines constituting an RFID supply chain presented in previous work [21].…”

Section: Validationmentioning

confidence: 99%

Deployment and activation of faulty components at runtime for testing self-recovery mechanisms

Gama

Donsez

2014

SIGAPP Appl. Comput. Rev.

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The hypotheses on potential sources of error in an application can be specified in a fault model, which helps testing scenarios that are likely to be buggy. Based on a fault model, we developed custom fault detection mechanisms for providing self-recovery behavior in a component platform when third-party components behave inappropriately. In order to perform the tests for validating such mechanisms, it would be necessary to use a technique for fault injection so we could simulate faulty behavior. However such a technique may not be appropriate for a component-based approach. The behavior of systems tested with faults injected in the interface level (e.g., passing invalid parameters) would not represent actual application usage, thus significantly differing from cases where faults are injected in the component level (e.g. emulation of internal component errors). This paper presents our approach for testing self-adaptive mechanism, involving a general model for fault deployment and fault activation. Faulty components deployed at runtime represent faulty behaviors specified in the fault model. These faults are remotely activated through test probes that help testing the effectiveness of the platform's self-adaptive mechanisms that are fired upon the detection of the specified faulty behavior. 1

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“…Typical application domains for RFID technology are asset management, product tracking, and supply chain management. In these domains, RFID technology is usually deployed using RFID middleware, such as AspireRFID and Oracle's Java System RFID Software . RFID middleware applies filtering, formatting, or logic to tag data captured by a reader such that the data can be processed by a software application.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Software abstractions for mobile RFID‐enabled applications

2011

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SUMMARYOur everyday environments may soon be pervaded with radio frequency identification (RFID) tags integrated in physical objects. These RFID tags can store a digital representation of the physical object and transmit it wirelessly to pervasive, context‐aware applications running on mobile devices. However, communicating with RFID tags is prone to many failures inherent to the technology. This hinders the development of such applications, as traditional programming models require the programmer to deal with the RFID hardware characteristics manually. On the other hand, traditional RFID middleware focuses on limited scenarios in an enterprise context and not on general ubiquitous computing scenarios. In this paper, we extend the ambient‐oriented programming paradigm to program RFID applications, by considering RFID tags as intermittently connected mutable proxy objects hosted on mobile distributed computing devices, and detail our prototype implementation. Copyright © 2011 John Wiley & Sons, Ltd.

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Supply chain management and NFC picking demonstrations using the AspireRfid middleware platform

Cited by 18 publications

References 1 publication

A fault deployment and activation approach for testing self-recovery mechanisms

A fault deployment and activation approach for testing self-recovery mechanisms

Deployment and activation of faulty components at runtime for testing self-recovery mechanisms

Software abstractions for mobile RFID‐enabled applications

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