WISE-SPL: Bringing Multi-tenancy to the Weather InSights Environment System

Transcription

1 WISE-SPL: Bringing Multi-tenancy to the Weather InSights Environment System Leonardo P. Tizzei, Vinícius Segura, Marcelo dos Santos, Leonardo Azevedo, Renato Cerqueira IBM Research Brazil September 21, /23

2 Agenda Brief Introduction to our lab WISE-SPL Introduction Applying SPL techniques Discussion: benefits and limitations Conclusion and Future Work Collaboration between Academia and Industry 2/23

3 Agenda Brief Introduction to our lab WISE-SPL Introduction Applying SPL techniques Discussion: benefits and limitations Conclusion and Future Work Collaboration between Academia and Industry 3/23

4 Our Brazilian lab Established in June 2010 Approx. 70 researchers (PhD/Master) (b) Rio de Janeiro (a) São Paulo 4/23

5 4 Main Research Areas Natural Resources Solutions - investigates software technologies for system development applied to natural events, oil & gas, logistics, and sustainability; Visual Analytics & Insights - explores the new frontiers of visual analytics technologies in the context of decision-making processes; Social Data Analytics - analyzes, understands, and uses human and social data; Industrial Technology & Science - researches on materials, technologies, and processes for industrial-scale applications, focusing on Healthcare Technology and Micro- and Nanotechnologies for Enhanced Oil Recovery 5/23

6 Agenda Brief Introduction to our lab WISE-SPL Introduction Applying SPL techniques Discussion: benefits and limitations Conclusion and Future Work Collaboration between Academia and Industry 6/23

7 Introduction City Operation Centers around the world tackle many important challenges during their routine job. Weather conditions affect operations of many cities and companies. Figure : Acre, Brazil - March, /23

8 Weather InSights Environment (WISE) (1/3) The WISE system serves as a central place to gather and present weather related information. Visualization platform Combination of forecast data generated by numerical weather prediction systems with the observed data obtained from sensors network Visual correlation between both data. 8/23

9 Weather InSights Environment (WISE) (2/3) base map environmental properties rain verification Brazil GoogleMaps Air temperature, Rain,... X China ArcGIS Visibility, Air pollution x Canada GoogleMaps Air temperature, Rain,... x 9/23

10 Weather InSights Environment (WISE) (3/3) 10/23

11 Moving WISE to the cloud Cloud Concepts Cloud computing enables on-demand access to a shared pool of computing resources [Mell and Grance 2011]. Multi-tenant cloud computing tools support multiple clients by enabling customizations that fit client requirements [Rimal et al. 2011]. Technical and Non-Technical aspects Facility to obtain computing resources Company s strategy Compliance with clients requirements 11/23

12 Problem and Contribution Problem To what extent SPL techniques support the development of a multi-tenant WISE? Contribution Application of existing SPL techniques to build a multi-tenant application. From 3 existing legacy applications, we modeled a SPL based on extractive approach Identification of benefits and limitations of existing techniques. 12/23

13 Feature Modeling Feature modeling = commonalities and variabilities among tenants requirements 13/23

14 WISE-SPL Configuration SPLOT tool [Mendonça et al. 2009] Feature modeling, automated analysis, product configuration generates CSVs or text files runtime variability WISE templatemodel 1 propagated 1 Environmental properties mandatory 1 propagated 1 Air pollution grouped 0 manual 8 Visibility grouped 0 manual 9 Wind grouped 1 manual 4 Air temperature grouped 1 manual 2 Rain precipitation grouped 1 manual /23

15 WISE-SPL Architectural Design Feature-Architecture Mapping (FArM) method [Sochos et al. 2006] Mapping features to architectural elements (i.e., components) Minimization of feature tangling and scattering 15/23

16 Discussion Feature model contributed to identify common and variable features of different tenants. Few SPL approaches detailed variability implementation for web-based SPLs..when implementing SPLs (...), such as Web systems, we notice a gap between theory and practice. [Machado et al. 2014] 16/23

17 Cloud Architecture Variability Modeling Elasticity and disaster recovery are common features of cloud applications. [Hallsteinsen et al. 2006] applied SPL techniques to build adaptive systems. [Nascimento et al. 2013] used Common Variability Language to support fault-tolerant service compositions. But few works apply SPL techniques to address elasticity or disaster recovery of cloud computing architectures. 17/23

18 Conclusion and Future Work Conclusion Building WISE-SPL cloud application via extractive approach Identification of benefits and limitations of SPL techniques Future Work Ongoing implementation of WISE-SPL Exploration of Service-line engineering [Walraven et al. 2014] Assessment of other techniques, e.g., TOSCA [Brogi et al. 2014] 18/23

19 Agenda Brief Introduction to our lab WISE-SPL Introduction Applying SPL techniques Discussion: benefits and limitations Conclusion and Future Work Collaboration between Academia and Industry 19/23

20 How can we collaborate? Bridge between academia and industry Real industry problems Collaboration Among institutions (e.g., via research projects) Among individuals 20/23

21 EUBra-BIGSEA project Creating a sustainable international cooperation in the cloud services segment for Big Data analysis Brazilian institutions European institutions Minas Gerais Federal University Campina Grande Federal University Paraná Federal Technological University University of Campinas IBM Research Brazil Universitat Politècnica de València - Spain Barcelona Supercomputing Centre - Spain Centro Euro-Mediterraneo sui Cambiamenti Climatici - Italy Trust-IT Services Ltd. - UK Universidade de Coimbra - Portugal Politecnico di Milano - Italy 21/23

22 Collaboration between faculty and researcher Conducting research experiments Co-supervising PhD/Master students Organization of Scientific events (e.g., session chair, program committee) Site: 22/23

23 Thanks for your attention! Questions? Home page: 23/23

24 Brogi, A., Soldani, J., and Wang, P. (2014). TOSCA in a Nutshell: Promises and Perspectives. In Villari, M., Zimmermann, W., and Lau, K.-K., editors, Service-Oriented and Cloud Computing, volume 8745 of Lecture Notes in Computer Science, page Springer Berlin Heidelberg. Hallsteinsen, S., Stav, E., Solberg, A., and Floch, J. (2006). Using product line techniques to build adaptive systems. In Software Product Line Conference, th International, pages 10 pp. IEEE. Machado, I. d. C., Santos, A. R., Cavalcanti, Y. C., Trzan, E. G., de Souza, M. M., and de Almeida, E. S. (2014). Low-level variability support for web-based software product lines. In Proceedings of the Eighth International Workshop on Variability Modelling of Software-Intensive Systems, page 15. ACM. Mell, P. and Grance, T. (2011). 23/23

25 The NIST Definition of Cloud Computing. Technical report, NIST. Mendonça, M., Branco, M., and Cowan, D. (2009). SPLOT: software product lines online tools. In Proceedings of the ACM SIGPLAN conference companion on Object oriented programming systems languages and applications, pages ACM. Nascimento, A., Rubira, C., and Castor, F. (2013). Using CVL to support self-adaptation of fault-tolerant service compositions. In Proceedings of the International Conference on Self-Adaptive and Self-Organizing Systems, pages Rimal, B., Jukan, A., Katsaros, D., and Goeleven, Y. (2011). Architectural Requirements for Cloud Computing Systems: An Enterprise Cloud Approach. Journal of Grid Computing, 9(1):3 26. Sochos, P., Riebisch, M., and Philippow, I. (2006). 23/23

26 The feature-architecture mapping (farm) method for feature-oriented development of software product lines. In ECBS 06: Proceedings of the 13th Annual IEEE International Symposium and Workshop on Engineering of Computer Based Systems, pages , Washington, DC, USA. IEEE Computer Society. Walraven, S., Landuyt, D. V., Truyen, E., Handekyn, K., and Joosen, W. (2014). Efficient customization of multi-tenant software-as-a-service applications with service lines. Journal of Systems and Software. 23/23