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Parallel Cost Analysis of Distributed Systems

  • Elvira Albert
  • Jesús Correas
  • Einar Broch Johnsen
  • Guillermo Román-DíezEmail author
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9291)

Abstract

We present a novel static analysis to infer the parallel cost of distributed systems. Parallel cost differs from the standard notion of serial cost by exploiting the truly concurrent execution model of distributed processing to capture the cost of synchronized tasks executing in parallel.It is challenging to analyze parallel cost because one needs to soundly infer the parallelism between tasks while accounting for waiting and idle processor times at the different locations. Our analysis works in three phases: (1) It first performs a block-level analysis to estimate the serial costs of the blocks between synchronization points in the program; (2) Next, it constructs a distributed flow graph (DFG) to capture the parallelism, the waiting and idle times at the locations of the distributed system; Finally, (3) the parallel cost can be obtained as the path of maximal cost in the DFG. A prototype implementation demonstrates the accuracy and feasibility of the proposed analysis.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Elvira Albert
    • 1
  • Jesús Correas
    • 1
  • Einar Broch Johnsen
    • 2
  • Guillermo Román-Díez
    • 3
    Email author
  1. 1.DSICComplutense University of MadridMadridSpain
  2. 2.Department of InformaticsUniversity of OsloOsloNorway
  3. 3.DLSIISTechnical University of MadridMadridSpain

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