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—This paper presents an overview of the ORBIT (Open Access Research Testbed for Next-Generation Wireless Networks) radio grid testbed 1 , that is currently being developed for scalable and reproducible evaluation of next-generation wireless network protocols. The ORBIT testbed consists of an indoor radio grid emulator for controlled experimentation and an(More)
We present a framework for monitoring enterprise wireless networks using desktop infrastructure. The framework is called DAIR, which is short for Dense Array of Inexpensive Radios. We demonstrate that the DAIR framework is useful for detecting rogue wireless devices (e.g., access points) attached to corporate networks, as well as for detecting Denial of(More)
This paper presents the software architecture of the ORBIT radio grid testbed 1. We describe the requirements for supporting the lifecycle of an experiment and how they influenced the overall design of the architecture. We specifically highlight those components and services which will be visible to a user of the ORBIT testbed.
We present a framework for managing and troubleshooting enterprise wireless networks using desktop infrastructure. The framework is called DAIR, which is short for Dense Array of Inexpensive Radios. Prior proposals in this area include monitoring the network via a combination of access points (APs), mobile clients, and dedicated sensor nodes. We believe(More)
In this paper we present ORBIT measurement library (OML), which is a distributed software framework enabling real-time collection of data in a large distributed environment. The success of a multiuser distributed testbed facility depends largely on the ease of use, remote access as well as on the ease of collecting useful measurements from experimental(More)
General framework based on histogram equalization for image contrast enhancement is discussed. In this framework, contrast enhancement is posed as an optimization problem that minimizes a cost function. Histogram equalization is an effective technique for contrast enhancement. However, conventional histogram equalization (HE) usually results in excessive(More)
Web-based enterprises process events generated by millions of users interacting with their websites. Rich statistical data distilled from combining such interactions in near real-time generates enormous business value. In this paper, we describe the architecture of Photon, a geographically distributed system for joining multiple continuously flowing streams(More)
identification because proteins are responsible for many functions required for maintenance of life. Protein identification further needs determination of protein function. Proposed method develops a classifier for human protein function prediction. The model uses decision tree for classification process. The protein function is predicted on the basis of(More)
A P2P system has to be able to tolerate, and where possible , leverage heterogeneity [10]. The reasons may be functional, for example, in order to deal with Network Address Translation, or simply to improve performance and robustness. In this position paper we show how Se-lectCast, an Application-Level Multicast protocol, leverages the information provided(More)
— Grid computing is concerned with coordinated resource sharing and problem solving in dynamic, multi-institutional virtual organizations. Efficient scheduling of complex applications in a grid environment reveals several challenges due to its high heterogeneity, dynamic behavior and space shared utilization. Objectives of scheduling algorithms are increase(More)