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SOftware Defined AppLication Infrastructures managemenT and Engineering


Data Management Plan

This report is a Data Management Plan SODALITE will follow throughout its execution. It will be based on the guidelines on data management in the H2020 Online Manual and a living copy will be updated, as part of Management reports (D1.3 to D1.5) of on a need by need basis during the lifetime of the project.

Prototype of application and infrastructure performance models

This deliverable includes preliminary models leading to support performance-centric model decision-making in WP4.

Initial implementation and evaluation of the SODALITE platform and use cases

D6.2 will provide information about the initial implementation of the use cases, SODALITE components, their integration into the SODALITE platform, as well as their evaluation and validation. It will also hold the information about the procedures and steps needed to correctly exploit the continuous integration pipeline defined for managing project results. It will be used as a reference by the project partners during project development to ensure a correct integration of all project results. Real-world measurements and benchmarking will form the basis for this deliverable.

SODALITE platform and use cases implementation plan

D6.1 will provide the time plan for the development of the SODALITE platform, as well as the implementation plan of the use cases. More specifically, the deliverable will provide specifications of the components’ functionality that will be developed within SODALITE and of the platform as a whole, as well as a detailed description of the resources needed to achieve the aforementioned functionality. In addition, the deliverable will report on the plans of each use case and will provide realistic and concise information about their practical implementation.

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Towards surgically-precise technical debt estimation: early results and research roadmap

Author(s): Valentina Lenarduzzi, Antonio Martini, Davide Taibi, Damian Andrew Tamburri
Published in: Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - MaLTeSQuE 2019, 2019, Page(s) 37-42
DOI: 10.1145/3340482.3342747

AIOps for a Cloud Object Storage Service

Author(s): Anna Levin, Shelly Garion, Elliot K. Kolodner, Dean H. Lorenz, Katherine Barabash, Mike Kugler, Niall McShane
Published in: 2019 IEEE International Congress on Big Data (BigDataCongress), 2019, Page(s) 165-169
DOI: 10.1109/bigdatacongress.2019.00036

HyperSpark: A Data-Intensive Programming Environment for Parallel Metaheuristics

Author(s): Michele Ciavotta, Srdjan Krstic, Damian A. Tamburri, Willem-Jan Van Den Heuvel
Published in: 2019 IEEE International Congress on Big Data (BigDataCongress), 2019, Page(s) 85-92
DOI: 10.1109/bigdatacongress.2019.00024

FM4SN: A Feature-Oriented Approach to Tenant-Driven Customization of Multi-Tenant Service Networks

Author(s): Indika Kumara, Jun Han, Alan Colman, Willem-Jan Van Den Heuvel, Damian Tamburri
Published in: 2019 IEEE International Conference on Services Computing (SCC), 2019, Page(s) 108-115
DOI: 10.1109/scc.2019.00028