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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.


Papers
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Proceedings ArticleDOI
24 Apr 1984
TL;DR: The Mermaid testbed provides a uniform front end that makes the complexity of manipulating data in distributed heterogeneous databases under various data management systems transparent to the user.
Abstract: The Mermaid testbed system has been developed as part of an ongoing research program at SDC to explore issues in distributed data management. The Mermaid testbed provides a uniform front end that makes the complexity of manipulating data in distributed heterogeneous databases under various data management systems (DBMSs) transparent to the user. It is being used to test query optimization algorithms as well as user interface methodology.

34 citations

Proceedings ArticleDOI
07 Apr 1999
TL;DR: Various alternative forms of evolvable media are explored and circumstances for which extrinsic hardware evolution map be appropriate are addressed, and a direct comparison is made using the testbed of the relative merits of intrinsic versus intrinsic hardware evolution.
Abstract: The field of intrinsic hardware evolution currently relies heavily on Field Programmable Gate Array (FPGA) devices. Many types are available commercially, however most are unsuitable for hardware evolution since they take too long to reconfigure. This paper explores various alternative forms of evolvable media and re-addresses circumstances for which extrinsic hardware evolution map be appropriate. In particular, a general-purpose evolvable testbed is presented together with results exemplifying its use for three different test cases, and a direct comparison is made using the testbed of the relative merits of extrinsic versus intrinsic hardware evolution.

34 citations

Journal ArticleDOI
TL;DR: The required enhancements in the SBA to support UAV services including UAV navigation and air traffic management, weather forecasting and UAV connectivity management are analyzed, while emphasizing the role of UAVs as core network equipment with radio and backhaul capabilities.
Abstract: This article provides an overview of enhanced network services, while emphasizing the role of UAVs as core network equipment with radio and backhaul capabilities. Initially, we elaborate the various deployment options, focusing on UAVs as airborne radio, backhaul and core network equipment, pointing out the benefits and limitations. We then analyze the required enhancements in the SBA to support UAV services including UAV navigation and air traffic management, weather forecasting and UAV connectivity management. The use of airborne UAVs network services is assessed via qualitative means, considering the impact on vehicular applications. Finally, an evaluation has been conducted via a testbed implementation, to explore the performance of UAVs as edge cloud nodes, hosting an ACS function responsible for the control and orchestration of a UAV fleet.

34 citations

Proceedings ArticleDOI
01 Jan 2016
TL;DR: This paper has successfully emulated over-the-air transmission for 1 UE and 1 eNB LTE network supporting both FDD Band 5 and TDD Band 38 and performed a thorough profiling of OAI, in terms of execution time, on the user plane data flow.
Abstract: The next generation, 5G wireless access, is going to support a wide range of new applications and use cases, with the capabilities including very high achievable data rate, very low latency, ultra-high reliability and the possibility to handle extreme device densities. To avoid the costly deployment, operation and maintenance of future mobile network, Radio Access Network (RAN) virtualization or Cloud RAN is the answer to the problem. The idea is to move the baseband processing to the data center and run the RAN L1, L2 and L3 protocol layers using the commodity hardware, such as high-performance general purpose processors. An open source software-based LTE implementation, such as OpenAirInterface (OAI), is definitely accelerating the RAN cloudization and also realizing the possibility of low cost LTE network deployment in the future. In this paper, we describe the OAI LTE implementation emphasizing on the user plane data flow. We have successfully emulated over-the-air transmission for 1 UE and 1 eNB LTE network supporting both FDD Band 5 and TDD Band 38. We have also performed a thorough profiling of OAI, in terms of execution time, on the user plane data flow. Our results could be served as the reference for future optimization by open source community.

34 citations

Proceedings ArticleDOI
25 Oct 2006
TL;DR: This paper deploy and study ROCRSSI+, a refinement of a localization algorithm based on received signal strength measures, and evaluates the algorithm by simulation and by implementation on an indoor testbed, identifying which impairments could hamper its functioning and illustrating how to compensate for them.
Abstract: Many wireless sensor networks (WSN) applications require a more or less accurate degree of knowledge of the sensing nodes' positions This information can be even crucial in rescue scenarios, battlefield surveillance, object movement tracking and so on Furthermore, some routing protocols for WSNs may require geographic data to perform handshakes and forwarding operations In our paper, we deploy and study ROCRSSI+, a refinement of a localization algorithm based on received signal strength measures We then evaluate the algorithm by simulation and by implementation on an indoor testbed, identifying which impairments could hamper its functioning, and illustrating how to compensate for them

34 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023917
20222,046
2021499
2020590
2019693
2018639