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ABS-NET: Fully Decentralized Runtime Adaptation for Distributed Objects

Palmskog, Karl (author)
KTH,Teoretisk datalogi, TCS
Dam, Mads (author)
KTH,Teoretisk datalogi, TCS
Lundblad, Andreas (author)
KTH,Teoretisk datalogi, TCS
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Jafari, Ali (author)
Reykjavik University
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 (creator_code:org_t)
Open Publishing Association, 2013
2013
English.
In: Proceedings 6th Interaction and Concurrency Experience. - : Open Publishing Association. ; , s. 85-100
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • We present a formalized, fully decentralized runtime semantics for a core subset of ABS, a language and framework for modelling distributed object-oriented systems. The semantics incorporates an abstract graph representation of a network infrastructure, with network endpoints represented as graph nodes, and links as arcs with buffers, corresponding to OSI layer 2 interconnects. The key problem we wish to address is how to allocate computational tasks to nodes so that certain performance objectives are met. To this end, we use the semantics as a foundation for performing network-adaptive task execution via object migration between nodes. Adaptability is analyzed in terms of three Quality of Service objectives: node load, arc load and message latency. We have implemented the key parts of our semantics in a simulator and evaluated how well objectives are achieved for some application-relevant choices of network topology, migration procedure and ABS program. The evaluation suggests that it is feasible in a decentralized setting to continually meet both the objective of a node-balanced task allocation and make headway towards minimizing communication, and thus arc load and message latency.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

distributed objects
routing
object mobility
adaptability
Computer Science
Datalogi

Publication and Content Type

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kon (subject category)

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Dam, Mads
Lundblad, Andrea ...
Jafari, Ali
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Royal Institute of Technology

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