Monitoring framework for stream-processing networks

Vu Thien Nga Nguyen; Raimund Kirner; Frank Penczek

Monitoring framework for stream-processing networks

Vu Thien Nga Nguyen, Raimund Kirner, Frank Penczek

Centre for Computer Science and Informatics Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

In this paper we present a monitoring framework that exploits special characteristics of stream-processing networks in order to reason the performance. The novelty of the framework is to trace the non-deterministic execution which is reflected in i) the dynamic mapping and scheduling of network components at the operating system level and ii) the dynamic message routing across the network at runtime. We evaluate the efficiency with an implementation for the coordination language S-Net, showing negligible overhead in most cases.

Original language	English
Title of host publication	Workshop on Feedback-Directed Compiler Optimization for Multi-Core Architectures (FD-COMA 2012)
Number of pages	8
Publication status	Published - 1 Jan 2012
Event	Workshop on Feedback-Directed Compiler Optimization for Multicore Architectures - Berlin, Germany Duration: 21 Jan 2013 → 23 Jan 2013

Conference

Conference	Workshop on Feedback-Directed Compiler Optimization for Multicore Architectures
Abbreviated title	FD-COMA 2013
Country/Territory	Germany
City	Berlin
Period	21/01/13 → 23/01/13

Keywords

parallel computing
monitoring
Stream processing

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rr_2012_FDCOMA12_monitoring_frameworkLicence: CC BY

Cite this

@inproceedings{b4cadb307fc942d9a16b86b3f262b41c,

title = "Monitoring framework for stream-processing networks",

abstract = "In this paper we present a monitoring framework that exploits special characteristics of stream-processing networks in order to reason the performance. The novelty of the framework is to trace the non-deterministic execution which is reflected in i) the dynamic mapping and scheduling of network components at the operating system level and ii) the dynamic message routing across the network at runtime. We evaluate the efficiency with an implementation for the coordination language S-Net, showing negligible overhead in most cases.",

keywords = "parallel computing, monitoring, Stream processing",

author = "Nguyen, {Vu Thien Nga} and Raimund Kirner and Frank Penczek",

note = "Vu Thien Nga Nguyen, Raimund Kirner, and Frank Penczek, 'Monitoring framework for stream-processing networks'. Paper presented at the Workshop on Feedback-Directed Compiler Optimization for Multi-Core Architectures (FD-COMA 2012), Berlin, Germany. 21-23 January 2013.; Workshop on Feedback-Directed Compiler Optimization for Multicore Architectures, FD-COMA 2013 ; Conference date: 21-01-2013 Through 23-01-2013",

year = "2012",

month = jan,

day = "1",

language = "English",

booktitle = "Workshop on Feedback-Directed Compiler Optimization for Multi-Core Architectures (FD-COMA 2012)",

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TY - GEN

T1 - Monitoring framework for stream-processing networks

AU - Nguyen, Vu Thien Nga

AU - Kirner, Raimund

AU - Penczek, Frank

N1 - Vu Thien Nga Nguyen, Raimund Kirner, and Frank Penczek, 'Monitoring framework for stream-processing networks'. Paper presented at the Workshop on Feedback-Directed Compiler Optimization for Multi-Core Architectures (FD-COMA 2012), Berlin, Germany. 21-23 January 2013.

PY - 2012/1/1

Y1 - 2012/1/1

N2 - In this paper we present a monitoring framework that exploits special characteristics of stream-processing networks in order to reason the performance. The novelty of the framework is to trace the non-deterministic execution which is reflected in i) the dynamic mapping and scheduling of network components at the operating system level and ii) the dynamic message routing across the network at runtime. We evaluate the efficiency with an implementation for the coordination language S-Net, showing negligible overhead in most cases.

AB - In this paper we present a monitoring framework that exploits special characteristics of stream-processing networks in order to reason the performance. The novelty of the framework is to trace the non-deterministic execution which is reflected in i) the dynamic mapping and scheduling of network components at the operating system level and ii) the dynamic message routing across the network at runtime. We evaluate the efficiency with an implementation for the coordination language S-Net, showing negligible overhead in most cases.

KW - parallel computing

KW - monitoring

KW - Stream processing

M3 - Conference contribution

BT - Workshop on Feedback-Directed Compiler Optimization for Multi-Core Architectures (FD-COMA 2012)

T2 - Workshop on Feedback-Directed Compiler Optimization for Multicore Architectures

Y2 - 21 January 2013 through 23 January 2013

ER -

Monitoring framework for stream-processing networks

Abstract

Conference

Keywords

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