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    Assistant Professor

    Computer Science Department, University of Bologna, Bologna, Italy

    On the Expressive Power of Primitives for Compensation Handling

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    Modern software systems have frequently to face unexpected events, reacting so to reach a consistent state. In the field of concurrent and mobile systems (e.g., for web services) the problem is usually tackled using long running transactions and compensations: activities programmed to recover partial executions of long running transactions. We compare the expressive power of different approaches to the specification of those compensations. We consider (i) static recovery, where the compensation is statically defined together with the transaction, (ii) parallel recovery, where the compensation is dynamically built as parallel composition of compensation elements and (iii) general dynamic recovery, where more refined ways of composing compensation elements are provided. We define an encoding of parallel recovery into static recovery enjoying nice compositionality properties, showing that the two approaches have the same expressive power. We also show that no such encoding of general dynamic recovery into static recovery is possible, i.e. general dynamic recovery is strictly more expressive.

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    Description

    Title : On the Expressive Power of Primitives for Compensation Handling
    Author(s) : Ivan Lanese, Cátia Vaz, Carla Ferreira
    Abstract : Modern software systems have frequently to face unexpected events, reacting so to reach a consistent state. In the field of concurrent and mobile systems (e.g., for web services) the problem is usually tackled using long running transactions and compensations: activities programmed to recover partial executions of long running transactions. We compare the expressive power of different approaches to the specification of those compensations. We consider (i) static recovery, where the compensation is statically defined together with the transaction, (ii) parallel recovery, where the compensation is dynamically built as parallel composition of compensation elements and (iii) general dynamic recovery, where more refined ways of composing compensation elements are provided. We define an encoding of parallel recovery into static recovery enjoying nice compositionality properties, showing that the two approaches have the same expressive power. We also show that no such encoding of general dynamic recovery into static recovery is possible, i.e. general dynamic recovery is strictly more expressive.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2010

    Affiliations Computer Science Department, University of Bologna, Bologna, Italy
    Editors : Andrew D Gordon
    Journal : Power
    Volume : 6012
    Publisher : Springer
    Pages : 366-386
    Url : http://dx.doi.org/10.1007/978-3-642-11957-6_20

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