Using reference attribute grammar-controlled rewriting for runtime resource management

Johannes Mey; René Schöne; Daniel Langner; Christoff Bürger

Using reference attribute grammar-controlled rewriting for runtime resource management

Johannes Mey, René Schöne, Daniel Langner, Christoff Bürger

Dresden University of Technology

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

To make distributed systems resource aware and adaptive, they can be modeled as self-adaptive systems. Such systems have a view of their own state and context, which can be represented by a model that is continuously updated and analyzed at runtime. However, such analyses need to be concise and efficient to allow large models and high adaptation rates. To achieve this, we apply reference attribute grammar controlled rewriting to implement the runtime model of a distributed task-scheduling case study for energy optimization.

Originalspråk	engelska
Titel på värdpublikation	CEUR Workshop Proceedings
Förlag	CEUR-WS
Sidor	13-17
Antal sidor	5
Volym	1643
Status	Published - 2016
Evenemang	1st International Workshop on REsource Awareness and Application Auto-Tuning in Adaptive and HeterogeNeous CompuTing - Dresden, Tyskland Varaktighet: 2016 mars 18 → …

Konferens

Konferens	1st International Workshop on REsource Awareness and Application Auto-Tuning in Adaptive and HeterogeNeous CompuTing
Förkortad titel	RES4ANT 2016
Land/Territorium	Tyskland
Ort	Dresden
Period	2016/03/18 → …

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title = "Using reference attribute grammar-controlled rewriting for runtime resource management",

abstract = "To make distributed systems resource aware and adaptive, they can be modeled as self-adaptive systems. Such systems have a view of their own state and context, which can be represented by a model that is continuously updated and analyzed at runtime. However, such analyses need to be concise and efficient to allow large models and high adaptation rates. To achieve this, we apply reference attribute grammar controlled rewriting to implement the runtime model of a distributed task-scheduling case study for energy optimization.",

author = "Johannes Mey and Ren{\'e} Sch{\"o}ne and Daniel Langner and Christoff B{\"u}rger",

year = "2016",

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booktitle = "CEUR Workshop Proceedings",

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TY - GEN

T1 - Using reference attribute grammar-controlled rewriting for runtime resource management

AU - Mey, Johannes

AU - Schöne, René

AU - Langner, Daniel

AU - Bürger, Christoff

PY - 2016

Y1 - 2016

N2 - To make distributed systems resource aware and adaptive, they can be modeled as self-adaptive systems. Such systems have a view of their own state and context, which can be represented by a model that is continuously updated and analyzed at runtime. However, such analyses need to be concise and efficient to allow large models and high adaptation rates. To achieve this, we apply reference attribute grammar controlled rewriting to implement the runtime model of a distributed task-scheduling case study for energy optimization.

AB - To make distributed systems resource aware and adaptive, they can be modeled as self-adaptive systems. Such systems have a view of their own state and context, which can be represented by a model that is continuously updated and analyzed at runtime. However, such analyses need to be concise and efficient to allow large models and high adaptation rates. To achieve this, we apply reference attribute grammar controlled rewriting to implement the runtime model of a distributed task-scheduling case study for energy optimization.

UR - http://www.scopus.com/inward/record.url?scp=84985945946&partnerID=8YFLogxK

M3 - Paper in conference proceeding

AN - SCOPUS:84985945946

VL - 1643

SP - 13

EP - 17

BT - CEUR Workshop Proceedings

PB - CEUR-WS

T2 - 1st International Workshop on REsource Awareness and Application Auto-Tuning in Adaptive and HeterogeNeous CompuTing

Y2 - 18 March 2016

ER -

Using reference attribute grammar-controlled rewriting for runtime resource management

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