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.

Cloud testing tools

Abstract: Cloud platform provides an infrastructure for resource sharing, software hosting and service delivering in a pay-per-use approach. To test the cloud-based software systems, techniques and tools are necessary to address unique quality concerns of the cloud infrastructure such as massive scalability and dynamic configuration. The tools can also be built on the cloud platform to benefit from virtualized platform and services, massive resources, and parallelized execution. The paper makes a survey of representative approaches and typical tools for cloud testing. It identifies the needs for cloud testing tools including multi-layer testing, SLA-based testing, large scale simulation, and on-demand test environment. To address the needs, it investigates the new architecture and techniques for designing testing tools for the cloud and in the cloud. Tool implementations are surveyed considering different approaches including migrated conventional tools, research tools, commercial tools and facilities like benchmark and testbed. Based on the analysis of state-of-the-art practices, the paper further investigates future trend of testing tool research and development from both capability and usability perspectives.

Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain

Abstract: Designing Internet of Things (IoT) applications faces many challenges including security, massive traffic, high availability, high reliability and energy constraints. Recent distributed computing paradigms, such as Fog and multi-access edge computing (MEC), software-defined networking (SDN), network virtualization and blockchain can be exploited in IoT networks, either combined or individually, to overcome the aforementioned challenges while maintaining system performance. In this paper, we present a framework for IoT that employs an edge computing layer of Fog nodes controlled and managed by an SDN network to achieve high reliability and availability for latency-sensitive IoT applications. The SDN network is equipped with distributed controllers and distributed resource constrained OpenFlow switches. Blockchain is used to ensure decentralization in a trustful manner. Additionally, a data offloading algorithm is developed to allocate various processing and computing tasks to the OpenFlow switches based on their current workload. Moreover, a traffic model is proposed to model and analyze the traffic indifferent parts of the network. The proposed algorithm is evaluated in simulation and in a testbed. Experimental results show that the proposed framework achieves higher efficiency in terms of latency and resource utilization.

Whole-hand input

Abstract: This dissertation examines whole-hand input: the full and direct use of the hand's capabilities for the control of computer-mediated tasks. It presents the subject as a distinct study, independent of specific application or interface device. It includes a comprehensive discussion of the ideas, issues, and technologies relevant to the field. Whole-hand input is a powerful tool for the real-time control of complex computer-mediated tasks that require the manipulation and coordination of many degrees of freedom. By taking advantage of the innate naturalness, adaptability, and dexterity of the hand, whole-hand input techniques can provide performance superior to that of conventional devices (such as dials, mice, and joysticks) when applied to complex tasks. The important problems of whole-hand input involve appropriateness of use, control design, and device selection. The dissertation addresses these with a design method for whole-hand input by which an interface designer can discuss, develop, and evaluate techniques and devices for using whole-hand input in a particular application. Three experiments illustrate use of the design method and validate the principles of the thesis. A testbed and software library for investigating whole-hand input techniques is described. The testbed allows easy development and testing of whole-hand input with application simulations. The library is based on an abstract whole-hand input device type providing a standard interface to different physical whole-hand input devices. It features techniques for device calibration, posture recognition, and gesture recognition. Three prototype applications using the testbed, and one musical performance application demonstrate a variety of whole-hand input techniques including master-slave control, controlling task variables with hand shape, and gestural command input. The text concludes with detailed recommendations for future work to forward the understanding of the direct use of the hand as an input device. An accompanying videotape demonstrates the three experiments, the prototype applications, and shows a short section of the musical performance. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.) ftn*This work was supported in part by NHK (Japan Broadcasting Company), Defense Advanced Research Projects Agency-RADC Contract #F30602-89-C-0022, and equipment grants from Hewlett-Packard, Inc.

OSCAR: Object security architecture for the Internet of Things

Abstract: In this paper, we propose OSCAR, an architecture for end-to-end security in the Internet of Things. It is based on the concept of object security that relates security with the application payload. The architecture includes Authorization Servers that provide clients with Access Secrets that enable them to request resources from constrained CoAP nodes. The nodes reply with the requested resources that are signed and encrypted. The scheme intrinsically supports multicast, asynchronous traffic, and caching. We have evaluated OSCAR in two cases: 802.15.4 Low Power and Lossy Networks (LLN) and Machine-to-Machine (M2M) communication on two different hardware platforms and MAC layers on a real testbed and using the Cooja emulator. The results show that OSCAR outperforms a security scheme based on DTLS when the number of nodes increases. OSCAR also results in low energy consumption and latency.

The low power energy aware processing (LEAP)embedded networked sensor system

Abstract: A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization and statistical computing. To meet these new requirements while maintaining critical support for low energy operation, a new multiprocessor node hardware and software architecture, low power energy aware processing (LEAP), has been developed. The LEAP architecture integrates fine-grained energy dissipation monitoring and sophisticated power control scheduling for all subsystems including sensor subsystems. This paper also describes a new distributed node testbed demonstrating that by exploiting high high energy efficiency components and enabling proper on-demand scheduling, the LEAP architecture may meet both sensing performance and energy dissipation objectives for a broad class of applications.