Architecture of Computing Systems (Lecture Notes in Computer ...

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The JoSchKa System: Organic Job Distribution in Heterogeneous and Unreliable Environments Matthias Bonn 1 and Hartmut Schmeck 2 1 Steinbuch Center for Computing 2 Institute AIFB Karlsruhe Institute of Technology – KIT –, 76128 Karlsruhe, Germany {Matthias.Bonn,Hartmut.Schmeck}@kit.edu Abstract. This paper describes a job distribution system which focuses on standard desktop worker nodes in inhomogeneous and unreliable environments. The system is suited for general purpose usage and supports both batch jobs and object-oriented interactive applications using standard Internet technologies. Advanced scheduling methods minimize the total execution time and improve execution efficiency, specialized to deal with unreliable failing worker nodes. Keywords: Distributed computing, scheduling, monitoring, web services, desktop grids, parallel applications, organic computing, cloud computing. 1 Introduction During the last 15 years, Personal Computers (PCs) spread more and more. Being irreplaceable in office and university service, they are also widely used in home areas. Today, a standard PC is equipped with a multi-core multi-GHz CPU and at least 2–4 MB of main memory. When used for its common dedication – office applications, email or web surfing – this power remains unused, because the box nearly all the time waits for user input. In the course of the ubiquitous Internet almost every PC is connected to, many projects were built to utilize this idle time, BOINC [1] or zetaGrid [2], for example. To build up a local area desktop grid, there exist systems like Condor [3] or Alchemi [4] sometimes using flexible algorithms to distribute individual applications to a pool or desktop PCs. But they are not necessarily suitable to utilize the idle time of normal Internet-connected PCs, and, in general, not programming language independent. The idea of JoSchKa (Job Scheduling Karlsruhe) [5] is to distribute the jobs in a request/response way: A central managing server has knowledge of about all jobs, while small autonomous background applications running on the worker-PCs query for them, similar to the tuple-spaces in [6]. When asked for a job, the server uses sophisticated (and in the scope of public resource/desktop computing unique) methods to select one suitable job matching the agent’s characteristics, and responds to the agent what has to be done. The agent then has to download all specified files, execute the given command and transfer all result files back to the server (Fig. 1). C. Müller-Schloer, W. Karl, and S. Yehia (Eds.): ARCS 2010, LNCS 5974, pp. 73–86, 2010. © Springer-Verlag Berlin Heidelberg 2010
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Volume Editors Christian Müller-Sc
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General Chair Organization Christia
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Organization IX Hartmut Schmeck Kar
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Keynote Table of Contents HyVM - Hy
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130 M. Kayaalp et al. INSTRUCTION 1
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176 T. Abdullah et al. A zone based
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Abdullah, Tariq 174 Alima, Luc Onan
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