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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.
Abstract
Increasingly pervasive networks are leading towards a world where data is constantly in motion. In such a world, conventional techniques for query processing, which were developed under the assumption of a far more static and predictable computational environment, will not be sufficient. Instead, query processors based on adaptive dataflow will be necessary. The Telegraph project has developed a suite of novel technologies for continuously adaptive query processing. 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. In this paper, we describe the system architecture and its underlying technology, and report on our ongoing implementation effort, which leverages the PostgreSQL open source code base. We also discuss open issues and our research agenda.

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Citations
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Pyragrid: Bringing Peer-to-Peer and Grid Architectures Together.

TL;DR: The Pyragrid architecture is presented, a novel distributed database system that borrows the principle of locating data used in a peer-to-peer system and extends it to more complex functionality and types of processing.
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High frequency batch-oriented computations over large sliding time windows

TL;DR: A model for batch processing based on overlapping sliding time windows that allows to increase the frequency of batches is proposed and is well suited to scenarios characterized by large data volumes, observation windows in the order of hours (or days) and frequent updates.
Journal Article

Causality Join Query Processing for Data Streams via a Spatiotemporal Sliding Window.

TL;DR: The result shows that the accuracy of causality join query processing in data streams with respect to the simple FIFO strategy can be improved.
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Data Types and Operations for Spatio-temporal Data Streams

TL;DR: This paper presents a data model, consisting of data types and operations on these data types, needed to support spatio-temporal data in a data stream management system, formally defined using many sorted algebra, and illustrated through an SQL-like query language.
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iJoin: Importance-Aware Join Approximation over Data Streams

TL;DR: This work proposes a novel framework, called iJoin, which overcomes these drawbacks, maximizes result importance, and has the best performance compared to earlier work.
References
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Proceedings ArticleDOI

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The click modular router

TL;DR: On conventional PC hardware, the Click IP router achieves a maximum loss-free forwarding rate of 333,000 64-byte packets per second, demonstrating that Click's modular and flexible architecture is compatible with good performance.
Proceedings ArticleDOI

The Click modular router

TL;DR: The Click IP router can forward 64-byte packets at 73,000 packets per second, just 10% slower than Linux alone, and is easy to extend by adding additional elements, which are demonstrated with augmented configurations.
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