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  • 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.
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.
Distributed GraphLab : A Framework for Machine Learning and Data Mining in the Cloud
TLDR
This paper develops graph based extensions to pipelined locking and data versioning to reduce network congestion and mitigate the effect of network latency, and introduces fault tolerance to the GraphLab abstraction using the classic Chandy-Lamport snapshot algorithm.
GraphLab: A New Framework For Parallel Machine Learning
TLDR
The expressiveness of the GraphLab framework is demonstrated by designing and implementing parallel versions of belief propagation, Gibbs sampling, Co-EM, Lasso and Compressed Sensing and it is shown that using GraphLab the authors can achieve excellent parallel performance on large scale real-world problems.
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.
Online aggregation
TLDR
A new online aggregation interface is proposed that permits users to both observe the progress of their aggregation queries and control execution on the fly, and a suite of techniques that extend a database system to meet these requirements are presented.
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.
Eddies: continuously adaptive query processing
TLDR
This paper introduces a query processing mechanism called an eddy, which continuously reorders operators in a query plan as it runs, and describes the moments of symmetry during which pipelined joins can be easily reordered, and the synchronization barriers that require inputs from different sources to be coordinated.
Blobworld: A System for Region-Based Image Indexing and Retrieval
TLDR
This work indexes the blob descriptions using a lower-rank approximation to the high-dimensional distance to make large-scale retrieval feasible, and shows encouraging results for both querying and indexing.
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