Testbed

About: Testbed is a research topic. Over the lifetime, 10858 publications have been published within this topic receiving 147147 citations. The topic is also known as: test bed.

An experimental framework for the evaluation of cooperative diversity

Abstract: Cooperative diversity is the result of relaying among nodes to achieve space diversity in multipath environments that offer limited time and frequency diversity. Although there is now substantial literature covering specification and analysis of cooperative communication strategies based upon models of wireless environments, there is much less work addressing experiments with real-world radio hardware and propagation channels. This work describes the construction of a three node, experimental testbed based upon a network of software-defined radios for development and verification of cooperative protocols. Several decode-and-forward relay protocols have been implemented and evaluated in terms of their diversity gains as measured from experimental curves of bit-error rate versus average signal-to-noise ratio. In contrast to the few other implementation efforts reported, the experimental setup maintains the relative node geometry while moving the network to induce fading, and the experimental results exhibit diversity benefits.

MockFog: Emulating Fog Computing Infrastructure in the Cloud

Abstract: Fog computing is an emerging computing paradigm that uses processing and storage capabilities located at the edge, in the cloud, and possibly in between. Testing fog applications, however, is hard since runtime infrastructures will typically be in use or may not exist, yet. In this paper, we propose an approach that emulates such infrastructures in the cloud. Developers can freely design emulated fog infrastructures, configure their performance characteristics, and inject failures at runtime to evaluate their application in various deployments and failure scenarios. We also present our proof-of-concept implementation MockFog and show that application performance is comparable when running on MockFog or a small fog infrastructure testbed.

A modular factory testbed for the rapid reconfiguration of manufacturing systems

Abstract: The recent manufacturing trend toward mass customization and further personalization of products requires factories to be smarter than ever before in order to: (1) quickly respond to customer requirements, (2) resiliently retool machinery and adjust operational parameters for unforeseen system failures and product quality problems, and (3) retrofit old systems with upcoming new technologies. Furthermore, product lifecycles are becoming shorter due to unbounded and unpredictable customer requirements, thereby requiring reconfigurable and versatile manufacturing systems that underpin the basic building blocks of smart factories. This study introduces a modular factory testbed, emphasizing transformability and modularity under a distributed shop-floor control architecture. The main technologies and methods, being developed and verified through the testbed, are presented from the four aspects of rapid factory transformation: self-layout recognition, rapid workstation and robot reprogramming, inter-layer information sharing, and configurable software for shop-floor monitoring.

The virtual node layer: a programming abstraction for wireless sensor networks

Abstract: The Virtual Node Layer (VNLayer) programming abstraction provides programmable, predictable automata--virtual nodes--emulated by the low-level network nodes This simplifies the design and rigorous analysis of applications for the wireless sensor network setting, as the layer can mask much of the uncertainty of the underlying components In this paper, we define a general VNLayer architecture, and then use this framework to design a practical VNLayer implementation, optimized for real-world use We then discuss our experience deploying this implementation on a testbed of hand-held computers, and in a custom-built packet-level simulator, and present a sample application--a virtual traffic light--to highlight the power and utility of our abstraction We conclude with a survey of additional applications that are well-suited to this setting

Scalable Traffic Sampling Using Centrality Measure on Software-Defined Networks

Abstract: With regard to cyber security, pervasive traffic visibility is one of the most essential functionalities for complex network systems. A traditional network system has limited access to core and edge switches on the network; on the other hand, SDN technology can provide flexible and programmable network management operations. In this article, we consider the practical problem concerning how to achieve scalable traffic measurement using SDN functionalities. Less intrusive traffic monitoring can be achieved by using a packet sampling technique that probabilistically captures data packets at switches, and the sampled traffic is steered toward a traffic analyzer such as an IDS on SDN. We propose the use of a centrality measure in graph theory for deciding the traffic sampling points among the switches. In addition, we discuss how to decide the traffic sampling rates at the selected switches. The results of the simulation and SDN testbed experiments indicate that the proposed sampling point and rate decision methods enhance the intrusion detection performance of an IDS in terms of malicious traffic flows in large-scale networks.