Abstract
Modern software applications are more and more conceived as distributed service compositions deployed over Grid and Cloud technologies. Choreographies provide abstract specifications of such compositions, by modeling message-based multi-party interactions without assuming any central coordination. To enable the management and dynamic adaptation of choreographies, it is essential to keep track of events and exchanged messages and to monitor the status of the underlying platform, and combine these different levels of information into complex events meaningful at the application level. Towards this goal, we propose a Multi-source Monitoring Framework that we are developing within the EU Project CHOReOS, which can correlate the messages passed at business-service level with observations relative to the infrastructure resources. We present the monitor architecture and illustrate it on a use-case excerpted from the CHOReOS project.
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Barker, A., Walton, C.D., Robertson, D.: Choreographing web services. IEEE T. Services Computing 2(2), 152–166 (2009)
Besson, F.M., Leal, P.M., Kon, F., Goldman, A., Milojicic, D.: Towards automated testing of web service choreographies. In: Proc. of AST, pp. 109–110. ACM, Waikiki (2011)
Bertolino, A., De Angelis, G., Kellomäki, S., Polini, A.: Enhancing service federation trustworthiness through online testing. IEEE Computer 45(1), 66–72 (2012)
De Angelis, F., De Angelis, G., Polini, A.: A counter-example testing approach for orchestrated services. In: Proc. of ICST, pp. 373–382. IEEE CS, Paris (2010)
Bertolino, A., De Angelis, G., Polini, A.: Validation and verification policies for governance of service choreographies. In: Proc. of WEBIST. SciTePress (April 2012)
Bianculli, D., Ghezzi, C.: Monitoring conversational web services. In: Di Nitto, E., et al. (eds.) IW-SOSWE, pp. 15–21. ACM (2007)
Campos, J.: Survey paper: Development in the application of ict in condition monitoring and maintenance. Comput. Ind. 60(1) (2009)
Hofmann, R., Klar, R., Mohr, B., Quick, A., Siegle, M.: Distributed performance monitoring: Methods, tools, and applications. IEEE Trans. Parallel Distrib. Syst. 5(6), 585–598 (1994)
Maia, J.L., Zorzo, S.D.: Socket-Masking and SNMP: A Hybrid Approach for QoS Monitoring in Mobile Computing Environments. In: Proc. of JCC, p. 106. IEEE CS, Washington, DC (2002)
Wang, C., Xu, L., Peng, W.: Conceptual design of remote monitoring and fault diagnosis systems. Inf. Syst. 32(7), 996–1004 (2007)
Guinea, S., Kecskemeti, G., Marconi, A., Wetzstein, B.: Multi-layered Monitoring and Adaptation. In: Kappel, G., Maamar, Z., Motahari-Nezhad, H.R. (eds.) ICSOC 2011. LNCS, vol. 7084, pp. 359–373. Springer, Heidelberg (2011)
Sacerdoti, F.D., Katz, M.J., Massie, M.L., Culler, D.E.: Wide area cluster monitoring with ganglia. In: Proc. of CLUSTER (2003)
Bertolino, A., Calabrò, A., Lonetti, F., Di Marco, A., Sabetta, A.: Towards a Model-Driven Infrastructure for Runtime Monitoring. In: Troubitsyna, E.A. (ed.) SERENE 2011. LNCS, vol. 6968, pp. 130–144. Springer, Heidelberg (2011)
Lesbegueries, J., Ben Hamida, A., Salatgè, N., Zribi, S., Lorrè, J.: Experience report: Multilevel event-based monitoring framework for the petals enterprise service bus. In: Proc. of DEBS. ACM (to appear, 2012)
Bertolino, A., De Angelis, G., Polini, A. (eds.): V&V tools and infrastructure – strategies, architecture and implementation. Number Del. D4.2.1. The CHOReOS Consortium (2012)
Chatel, P., Leger, A., Lockerbie, J. (eds.): ”Passenger-friendly airport” scenarios specification and requirements analysis. Number Del. D6.1. The CHOReOS Consortium (2011)
Katsaros, G., Kousiouris, G., Gogouvitis, S.V., Kyriazis, D., Menychtas, A., Varvarigou, T.: A self-adaptive hierarchical monitoring mechanism for clouds. JSS 85(5), 1029–1041 (2012)
Kertész, A., Kecskemeti, G., Marosi, C.A., Oriol, M., Franch, X., Marco, J.: Integrated monitoring approach for seamless service provisioning in federated clouds. In: Stotzka, R., Schiffers, M., Cotronis, Y. (eds.) PDP, pp. 567–574. IEEE (2012)
Newman, H.B., Legrand, I.C., Galvez, P., Voicu, R., Cirstoiu, C.: Monalisa: A distributed monitoring service architecture. In: Talk from the Computing in High Energy and Nuclear Physics (2003)
Truong, H.-L., Fahringer, T.: SCALEA-G: A Unified Monitoring and Performance Analysis System for the Grid. In: Dikaiakos, M.D. (ed.) AxGrids 2004. LNCS, vol. 3165, pp. 202–211. Springer, Heidelberg (2004)
Andreozzi, S., De Bortoli, N., Fantinel, S., Ghiselli, A., Rubini, G.L., Tortone, G., Vistoli, M.C.: GridICE: a monitoring service for grid systems. Future Generation Computer Systems 21(4) (April 2005)
Boulon, J., Konwinski, A., Qi, R., Rabkin, A., Yang, E., Yang, M.: Chukwa, a large-scale monitoring system. In: Proc. of CCA (2008)
Park, K.S., Pai, V.S.: CoMon: a mostly-scalable monitoring system for PlanetLab. OSR 40(1), 65–74 (2006)
Wolski, R., Spring, N.T., Hayes, J.: The network weather service: a distributed resource performance forecasting service for metacomputing. Future Generation Computer Systems 15(5-6) (October 1999)
Tierney, B., Aydt, R., Gunter, D., Smith, W., Swany, M., Taylor, V., Wolski, R.: A grid monitoring architecture. Memo GFD-I.7. Global Grid Forum (2002)
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Ben Hamida, A., Bertolino, A., Calabrò, A., De Angelis, G., Lago, N., Lesbegueries, J. (2012). Monitoring Service Choreographies from Multiple Sources. In: Avgeriou, P. (eds) Software Engineering for Resilient Systems. SERENE 2012. Lecture Notes in Computer Science, vol 7527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33176-3_10
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DOI: https://doi.org/10.1007/978-3-642-33176-3_10
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