We present a framework that will enable scalable analysis and design of graceful degradation in distributed embedded systems. We define graceful degradation in terms of utility. A...
The management and the processing of Earth science data has been gaining importance over the last decade due to higher data volumes generated by a larger number of instruments and ...
Petr Votava, Rama Nemani, Keith Golden, Daniel E. ...
This paper presents a four-faceted framework for distributed applications that use worldwide networks connecting large numbers of people, software tools, monitoring instruments, a...
K. Mani Chandy, Joseph Kiniry, Adam Rifkin, Daniel...
Abstract— A fully-distributed collaborative multi-target tracking framework that eliminates the need for a central data associator or a central coordinating node for wireless sen...
Abstract. Analysis of privacy-sensitive data in a multi-party environment often assumes that the parties are well-behaved and they abide by the protocols. Parties compute whatever ...