Architectural run-time models for operator-in-the-loop adaptation of cloud applications
暂无分享,去创建一个
Wilhelm Hasselbring | Klaus Pohl | Andreas Metzger | Robert Heinrich | Ralf H. Reussner | Eric Schmieders | Reiner Jung
[1] Robert Heinrich. Aligning Business Processes and Information Systems - New Approaches to Continuous Quality Engineering , 2014 .
[2] Virgílio A. F. Almeida,et al. Capacity Planning for Web Services: Metrics, Models, and Methods , 2001 .
[3] Robert Heinrich,et al. Architecture-based Analysis of Changes in Information System Evolution , 2015, Softwaretechnik-Trends.
[4] Klaus Pohl,et al. ¨ INFORMATIK INSTITUT F UR iObserve : Integrated Observation and iObserve : Integrated Observation and Modeling Techniques to Support Adaptation and Evolution of Software , 2013 .
[5] Wilhelm Hasselbring,et al. The CloudMIG Approach: Model-Based Migration of Software Systems to Cloud-Optimized Applications , 2012 .
[6] Wilhelm Hasselbring,et al. Model-Based Migration of Legacy Software Systems to Scalable and Resource-Efficient Cloud-Based Applications: The CloudMIG Approach , 2010 .
[7] Robert Heinrich,et al. Model-driven Instrumentation with Kieker and Palladio to Forecast Dynamic Applications , 2013, KPDAYS.
[8] Gueyoung Jung,et al. CloudAdvisor: A Recommendation-as-a-Service Platform for Cloud Configuration and Pricing , 2013, 2013 IEEE Ninth World Congress on Services.
[9] Christopher Scaffidi,et al. Impact and utility of smell-driven performance tuning for end-user programmers , 2015, J. Vis. Lang. Comput..
[10] J. F. Holmes,et al. Supervisory Control and Data Acquisition (SCADA) and related systems for automated process control in the food industry: an introduction , 2013, ICRA 2013.
[11] Wilhelm Hasselbring,et al. Run-time Architecture Models for Dynamic Adaptation and Evolution of Cloud Applications , 2015 .
[12] Carlo Ghezzi,et al. A journey to highly dynamic, self-adaptive service-based applications , 2008, Automated Software Engineering.
[13] Yi Zhang,et al. Automatic parameter recommendation for practical API usage , 2012, 2012 34th International Conference on Software Engineering (ICSE).
[14] Martin P. Robillard,et al. Recommendation Systems for Software Engineering , 2010, IEEE Software.
[15] Brice Morin,et al. Models@ Run.time to Support Dynamic Adaptation , 2009, Computer.
[16] Doug Fisher,et al. SCADA: Supervisory Control and Data Acquisition , 2015 .
[17] Mary Shaw,et al. Software Engineering for Self-Adaptive Systems: A Research Roadmap , 2009, Software Engineering for Self-Adaptive Systems.
[18] Klaus Pohl,et al. Runtime Model-Based Privacy Checks of Big Data Cloud Services , 2015, ICSOC.
[19] Wilhelm Hasselbring,et al. ExplorViz: Visual Runtime Behavior Analysis of Enterprise Application Landscapes , 2015, ECIS.
[20] Sungwon Kang,et al. The Impact of View Histories on Edit Recommendations , 2015, IEEE Transactions on Software Engineering.
[21] Zachary N. J. Peterson,et al. Geolocation of data in the cloud , 2013, CODASPY.
[22] Wilhelm Hasselbring,et al. Automatic Extraction of Probabilistic Workload Specifications for Load Testing Session-Based Application Systems , 2015, EAI Endorsed Trans. Self Adapt. Syst..
[23] Robert Heinrich,et al. Architecture-based assessment and planning of change requests , 2015, 2015 11th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA).
[24] Janice Singer,et al. Hipikat: a project memory for software development , 2005, IEEE Transactions on Software Engineering.
[25] Samuel Kounev,et al. S/T/A: Meta-Modeling Run-Time Adaptation in Component-Based System Architectures , 2012, 2012 IEEE Ninth International Conference on e-Business Engineering.
[26] Andreas Hotho,et al. Modeling and extracting load intensity profiles , 2015, SEAMS 2015.
[27] Wilhelm Hasselbring,et al. A Method for Aspect-oriented Meta-Model Evolution , 2014, VAO '14.
[28] Nessi White Paper. Software Engineering Key Enabler for Innovation Executive Summary Contents , .
[29] Carlo Ghezzi,et al. Mining behavior models from user-intensive web applications , 2014, ICSE.
[30] Wilhelm Hasselbring,et al. Live trace visualization for comprehending large software landscapes: The ExplorViz approach , 2013, 2013 First IEEE Working Conference on Software Visualization (VISSOFT).
[31] Wilhelm Hasselbring,et al. Integrating Run-time Observations and Design Component Models for Cloud System Analysis , 2014, Models@run.time.
[32] Jan Jürjens,et al. A Platform for Empirical Research on Information System Evolution , 2015, SEKE.
[33] Klaus Pohl,et al. Architectural Runtime Models for Privacy Checks of Cloud Applications , 2015, 2015 IEEE/ACM 7th International Workshop on Principles of Engineering Service-Oriented and Cloud Systems.
[34] Wilhelm Hasselbring,et al. Search-based genetic optimization for deployment and reconfiguration of software in the cloud , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[35] Mel Ó Cinnéide,et al. Rascal: A Recommender Agent for Agile Reuse , 2005, Artificial Intelligence Review.
[36] Lars Grunske,et al. Software Architecture Optimization Methods: A Systematic Literature Review , 2013, IEEE Transactions on Software Engineering.
[37] Robert Heinrich,et al. Deriving Work Plans for Solving Performance and Scalability Problems , 2014, EPEW.
[38] Wilhelm Hasselbring,et al. An adaptation framework enabling resource-efficient operation of software systems , 2009 .
[39] Klaus Pohl,et al. A Runtime Model Approach for Data Geo-location Checks of Cloud Services , 2014, ICSOC.
[40] Muhammad Awais Shibli,et al. Comparative Analysis of Access Control Systems on Cloud , 2012, 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.