• Publications
  • Influence
TAG: a Tiny AGgregation service for ad-hoc sensor networks
TLDR
This work presents the Tiny AGgregation (TAG) service for aggregation in low-power, distributed, wireless environments, and discusses a variety of optimizations for improving the performance and fault tolerance of the basic solution. Expand
TinyDB: an acquisitional query processing system for sensor networks
TLDR
This work evaluates issues in the context of TinyDB, a distributed query processor for smart sensor devices, and shows how acquisitional techniques can provide significant reductions in power consumption on the authors' sensor devices. Expand
TinyOS: An Operating System for Sensor Networks
TLDR
A qualitative and quantitative evaluation of the TinyOS system is provided, showing that it supports complex, concurrent programs with very low memory requirements and efficient, low-power operation. Expand
BlinkDB: queries with bounded errors and bounded response times on very large data
TLDR
BlinkDB allows users to trade-off query accuracy for response time, enabling interactive queries over massive data by running queries on data samples and presenting results annotated with meaningful error bars. Expand
C-Store: A Column-oriented DBMS
TLDR
Preliminary performance data on a subset of TPC-H is presented and it is shown that the system the team is building, C-Store, is substantially faster than popular commercial products. Expand
Speedy transactions in multicore in-memory databases
TLDR
A commit protocol based on optimistic concurrency control that provides serializability while avoiding all shared-memory writes for records that were only read, which achieves excellent performance and scalability on modern multicore machines. Expand
A comparison of approaches to large-scale data analysis
TLDR
A benchmark consisting of a collection of tasks that are run on an open source version of MR as well as on two parallel DBMSs shows a dramatic performance difference between the two paradigms. Expand
The design of an acquisitional query processor for sensor networks
TLDR
This work evaluates issues in the context of TinyDB, a distributed query processor for smart sensor devices, and shows how acquisitional techniques can provide significant reductions in power consumption on the authors' sensor devices. Expand
Model-Driven Data Acquisition in Sensor Networks
TLDR
This paper enrichs interactive sensor querying with statistical modeling techniques, and demonstrates that such models can help provide answers that are both more meaningful, and, by introducing approximations with probabilistic confidences, significantly more efficient to compute in both time and energy. Expand
TelegraphCQ: Continuous Dataflow Processing for an Uncertain World
TLDR
The next generation Telegraph system, called TelegraphCQ, is focused on meeting the challenges that arise in handling large streams of continuous queries over high-volume, highly-variable data streams and leverages the PostgreSQL open source code base. Expand
...
1
2
3
4
5
...