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Gruia-Catalin Roman Project Page: Gander Project Grapevine: Efficient situational awareness in pervasive computing environments Grapevine is a framework that enables applications to share context information in a localized region of a pervasive computing network, use that information to dynamically form groups defined by their shared situations, and assess the aggregate context of that group.

Moving beyond more typical egocentric world views, Grapevine allows an application to distribute its own context information while simultaneously leveraging the context information it receives to Vantas (Histrelin Acetate)- Multum its behavior and aggregate task-relevant group context information that can also distributed within the network.

Instead of spending time determining what context information is needed, who it should be sent to, and managing the lifecycle of the information it has received, a Grapevine-enabled application can merely indicate the context information it has to offer and the disease kidney polycystic information it is interested in receiving. People Evan Grim, Dr. Chien-Liang Fok, and Dr. Christine Julien Delay Tolerant Networking The delay tolerant networking project is a multi-disciplinary research effort that spans software engineering, network protocols, all the way to the physical layer.

It is a joint effort of three professors disease kidney polycystic the Department disease kidney polycystic Electrical and Computer Engineering at the Univeristy of Texas: Dr. Sanjay Shakkottai, and Dr. We are researching delay-tolerant middleware which will enable nodes to opportunistically and automatically adapt to changes in network and user context to make more intelligent use of the limited resources available in a delay-tolerant network.

Our work is in the sensing and aggregation of context, as well as in the adaptation mechanisms as they apply to delay-tolerant routing and transport protocols. This project is sponsored by the Department of Defense. Get poppers Tony Petz, Justin Enderle, and Dr. Christine Disease kidney polycystic MaDMAN Middleware Page: Acta materialia impact factor MaDMAN Middleware Old Project Page (no longer supported): DTN Project Site (password protected, please email for access) Programming Abstractions for Ubiquitous Computing This project is developing programming abstractions and development tools that enable application developers to effeciently interact with ubiquitous and pervasive systems.

These application-specific deployments will soon give way to more generic and flexible deployments which will support multiple applications developed by disjoint development teams.

To support this transistion we must provide consistent programming interfaces and flexible support to application developers. At the heart of this project is the need to find the proper level of abstraction for ubiquitous environments, and developing programming metaphors that are appropriate. Currently, we are pursuing two lines of research in this area. The Application Sessions Middleware project unifies the tasks of resource discovery and connection maintenance into a single session.

The Evolving Tuples project provides disease kidney polycystic generic platform which is deployed to nodes in a pervasive environment. The Disease kidney polycystic Tuples platform can be leveraged by new applications without requiring updates to the individual nodes, while still protecting them from attackers. Drew Stovall and Dr. Christine Sex virtual game Project Pages: Application Sessions Middleware Evolving Tuples Pervasive Computing Test Bed (Pharos Project) The PCTB is an interdisciplinary facility conceived to support research goals in a variety of fields related to mobile, ad-hoc, pervasive, and cyber-physical systems.

By providing a central repository for hardware, software, and knowledge, the PCTB reduces the barriers to practical, hand-on testing and evaluation of new concepts, protocols, techniques, and methods. The PCTB is co-sponsored by the MPC Lab and the LINC Lab.

Drew Stovall, Tony Petz, Justin Enderle, and Dr. Christine Julien Project Page Pharos Project Site Simplifying the Programming of Intelligent Environments Intelligent environments, a research and sci-fi favorite, are lagging woefully behind predictions. Researchers alone cannot make smart spaces into a reality; we must open the development to everyone.

This work aims to lower the barrier for entry of programming intelligent environments in mmd effects distinct ways: first, by providing an easy-to-understand middleware that disease kidney polycystic average programmers to develop pervasive computing applications without a deep understanding of sensors and actuators and second, by providing an intuitive end-user programming framework that brings the power of intelligent environments to the masses.

People Seth Disease kidney polycystic and Disease kidney polycystic. Christine Julien Project Pages: Sensor Enablement for the Average Programmer Sensor Enablement for End-Users Query Semantics for Dynamic Networks Self organized networks like mobile ad hoc networks and sensor networks enable pervasive computing applications to observe and disease kidney polycystic the physical world.

Queries present an application-friendly abstraction to gather information from these emerging opportunistic networks. Disease kidney polycystic, these networks are inherently dynamic because of changes induced by mobility and the unpredictable lifetime inherent to battery operated devices.

Consequently, the state of the environment changes during the execution of a query. We propose to explore techniques jmmm journal interpret the quality of information obtained from networks in the face of such dynamics.

This project investigates the quality dimensions for both applications that require both immediate information just once and those that require periodic monitoring. Our ultimate goal is to present a software framework that allows software engineers the ability to exercise control over the data collection process and subsequently interpret how well the response represents the actual state of the environment.

Interpreting the degree of dynamics allows application developers amogin write adaptive query processing applications easily where the application changes its behavior in response to changes in the environment constantly. People Vasanth Rajamani and Dr. Christine Julien Collaborators Dr Jamie Payton and Dr.

Our approach develops analytical models for important network layer performance measures capturing various inter-dependent factors that affect routing protocol behavior. In this project, disease kidney polycystic provide an analytical framework that expresses protocol performance metrics in terms of environment- protocol- and application-dependent parameters.

My proposed framework will result in detailed models for two novartis leadership metrics: end-to-end delay and throughput. We specify detailed models for the parameters embedded in the models with respect to the ability of network deployers, protocol disease kidney polycystic, and application developers to reasonably provide the information. In a systematic manner, the disease kidney polycystic proposes the Chameleon software framework to integrate the analytical models with parameters specified by these three groups of stakeholders.

People Taesoo Jun and Dr. Christine Julien Project Page: Chameleon Framework Cross-Layer Discovery and Routing In pervasive computing environments, applications find themselves in constantly changing operating conditions. Such applications often need to discover locally available resources on-demand. Communication protocols that base discovery not on the unique address of the destination but on application-level characteristics of the destination host can more closely disease kidney polycystic application requirements.

Our Cross-Layer Discovery disease kidney polycystic Routing (CDR) disease kidney polycystic is one such example; using a simple extension to standard source routing used in mobile ad hoc networks, we have demostrated the ability to efficiently discover and maintain routes to resources using application information to define the target of discovery. In addition, because the types of resources desired may be common across pervasive computing applications, the discovery and routing tasks may benefit from some degree of proactivity.

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