Denaro-Adaptive-WOWMOM-2005

Denaro-Adaptive-WOWMOM-2005 - Adaptive Runtime Verication...

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Adaptive Runtime Verification for Autonomic Communication Infrastructures Giovanni Denaro, Leonardo Mariani, Mauro Pezz`e, Davide Tosi Universit´a degli Studi di Milano Bicocca Dipartimento di Informatica, Sistemistica e Comunicazione Via Bicocca degli Arcimboldi 8 I-20126, Milano - Italy { denaro|mariani|pezze|tosi } @disco.unimib.it Abstract Autonomic communication and autonomic computing can solve many problems in managing complex network and computer systems, as well as network applications, where computing and networking co-exist. Autonomic applica- tions must be able to automatically diagnose and repair their own faults. In particular they must be able to monitor the execution state, understand the behavior of the applica- tion and of the executing environment, and interpret moni- tored data to identify faults and select a repairing strategy. Assertions have been extensively studied in software en- gineering for identifying deviations from the expected be- haviors and thus signal anomalous outcomes. Unfortu- nately, classic assertions are defined statically at develop- ment time and cannot capture unpredictable changes and evolutions in the execution environment. Thus they do not easily adapt to autonomic applications. This paper proposes a method for the automatic synthe- sis and adaptation of assertions from the observed behavior of an application, aimed at achieving adaptive application monitoring. We believe that this represents an important basis to derive autonomic mechanisms that can deal with unpredictable situations. 1 Introduction The networking and the software engineering commu- nities are increasingly studying autonomic communication and autonomic computing as possible solutions to the prob- lems involved in managing networks and software that grow beyond the control of single development team. Auto- nomic networks and software systems will be able to au- tonomously adapt to unpredictable environmental changes, by exploiting embedded self-managing capabilities such as self-organization, self-configuration, self-regulation, self- adaptation, self-healing and self-protection [11]. Autonomic web applications merge autonomic network- ing and software features to overcome many limitations of current communication technology, and thus meet the in- creasingly demands of the Internet of the future. An important characteristic of autonomic applications is the ability to automatically diagnose and repair their own faults. Fault diagnosing requires (1) monitoring the execu- tion state, to understand the behavior of the application and of the executing environment, and (2) interpreting the mon- itored data, to identify faults and select a repairing strategy. Common monitoring mechanisms instrument the soft- ware and the environment with probes or gauges to capture runtime data, e.g., control and dataflow traversals, changes of values, performance indexes, and changes of context in- formation. As for data interpretation, many approaches rely on embedded assertions, that is, constraints over the col- lected data at given execution points.
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