Nesime Tatbul

TL;DR: This paper outlines the basic design and functionality of Borealis, and presents a highly flexible and scalable QoS-based optimization model that operates across server and sensor networks and a new fault-tolerance model with flexible consistency-availability trade-offs.

TL;DR: The basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications, are described and a stream-oriented set of operators are described.

TL;DR: This paper presents Aurora, a new DBMS that is currently under construction at Brandeis University, Brown University, and M.I.T. and describes the basic system architecture, a stream-oriented set of operators, optimization tactics, and support for real-time operation.

TL;DR: This paper examines a technique for dynamically inserting and removing drop operators into query plans as required by the current load, and addresses the problems of determining when load shedding is needed, where in the query plan to insert drops, and how much of the load should be shed at that point in the plan.

TL;DR: This work proposes to demonstrate the Aurora system with its development environment and runtime system, with several example monitoring applications developed in consultation with defense, financial, and natural science communities, and shows the effect of various system alternatives on various workloads.