Performance modeling and analysis of context-aware mobile software systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6013 LNCS, Issue , 2010, Pages 353-367

  Berardinelli, Luca ^a   Cortellessa, Vittorio ^a   Di Marco, Antinisca ^a  

^a UNIVERSITY OF L'AQUILA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT MANAGEMENT; CONTEXT- AWARENESS; CONTEXT-AWARE; EHEALTH; INTEGRATED ENVIRONMENT; MOBILE SOFTWARE SYSTEMS; MODELING ENVIRONMENTS; NON FUNCTIONAL PROPERTIES; PERFORMANCE ANALYSIS; PERFORMANCE MODEL; PERFORMANCE MODELING AND ANALYSIS; PERFORMANCE PARAMETERS; SOFTWARE SYSTEMS;

MOBILE DEVICES; QUALITY OF SERVICE; SOFTWARE ARCHITECTURE;

COMPUTER SOFTWARE;

EID: 77951264694     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12029-9_25     Document Type: Conference Paper

References (20)

1. Architectural and Analysis Description Language, http://www.aadl.info/
2. DynamIc VAriability in complex, adaptive systems, Research Project, http://www.ict-diva.eu/
3. Balsamo, S., Di Marco, A., Inverardi, P., Simeoni, M.: Model-based performance prediction in software development: A survey. IEEE Transactions on Software Engineering, 295-310 (2004)
4. Berardinelli, L., Cortellessa, V., Di Marco, A.: An Unified Approach to Model Non- Functional Properties ofMobile Context-Aware Software. Technical Report 003-2009, Computer Science Department, University of L'Aquila (2009), http://www.di.univaq.it/cortelle/docs/report-003-2009.pdf
5. Cortellessa, V., Mirandola, R.: PRIMA-UML: a performance validation incremental methodology on early UML diagrams. Science of Computer Programming 44(1), 101-129 (2002)
6. Di Marco, A., Mascolo, C.: Performance analysis and prediction of physically mobile systems. In: WOSP, p. 132. ACM, New York (2007)
7. Fuggetta, A., Picco, G.P., Vigna, G.: Understanding code mobility. IEEE Transactions on software engineering 24(5), 342-361 (1998)
8. Grassi, V., Mirandola, R., Randazzo, E.: Model-Driven Assessment of QoS-Aware Self-Adaptation. In: Software Engineering for Self-Adaptive Systems, p. 222. Springer, Heidelberg (2009)
9. Grassi, V., Mirandola, R., Sabetta, A.: A UML profile to model mobile systems. LNCS, pp. 128-142. Springer, Heidelberg (2004)
10. Harel, D.: Statecharts: A visual formalism for complex systems. Science of computer programming 8(3), 231-274 (1987)
11. Hirsch, D., Kramer, J., Magee, J., Uchitel, S.: Modes for software architectures. In: Gruhn, V., Oquendo, F. (eds.) EWSA 2006. LNCS, vol. 4344, pp. 113-126. Springer, Heidelberg (2006)
12. Inverardi, P., Mancinelli, F., Nesi, M.: A declarative framework for adaptable applications in heterogeneous environments. In: Proceedings of the 2004 ACM symposium on Applied computing, pp. 1177-1183. ACM, New York (2004)
13. IST-MUSIC Project. Middleware Support for Self-Adaptation in Ubiquitous and Service-Oriented Environments, http://www.ist-music.eu/
14. Jansen, D.N., Hermanns, H.: QoS modelling and analysis with UML-statecharts: the StoCharts approach. SIGMETRICS Perform. Eval. Rev. 32(4), 28-33 (2005)
15. Lundesgaard, S.A., Lund, K., Eliassen, F.: Service Plans for Context-and QoS-aware Dynamic Middleware. In: ICDCS Workshops 2006, p. 70 (2006)
16. Mikic-Rakic, M., Malek, S., Medvidovic, N.: Architecture-driven software mobility in support of QoS requirements. In: Proceedings of the 1st international workshop on Software architectures and mobility, pp. 3-8. ACM, New York (2008)
17. Object Management Group, Inc. UML Profile for MARTE, ptc/08-06-09 (2008)
18. Picco, G.P., Murphy, A.L., Roman, G.C.: LIME: Linda meets mobility. In: ICSE, pp. 368-377. ACM, New York (1999)
19. Smith, C.U.,Williams, L.G.: Performance Solutions: a practical guide to creating responsive, scalable software. Addison-Wesley, Boston (2002)
20. Tjims, H.C.: Stochastic models: an algorithmic approach. IMA Journal of Management Mathematics