Software Infrastructure

Cloud computing is a developing paradigm of distributed computing that is highly adopted nowadays. Both economic and time benefits lead companies to use Cloud Computing.

Users do not need to spend time installing software and configuring the system as it is already set up by the cloud providers, and also there are cost savings as infrastructure installation is minimized. As defined by NIST (National Institute of Standards and Technology), Cloud Computing is composed of three service models, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides infrastructure such as storage, network and Virtual Machines, PaaS provides middleware such as database management systems, and SaaS offers services such as applications through a web browser.

M4D aims to define rich conceptual (meta)models to enable the formal abstraction and representation of application and infrastructure descriptions, allowing the semantic annotation and interlinking of functional and non-functional requirements, software dependencies, service capabilities and QoS, reusing existing general-purpose ontologies and extend according to domain requirements. The research focuses on capturing information at higher levels of abstraction, enabling the conceptual description of artifacts, services, code and platforms to foster advanced context-aware searching, matchmaking, validation and reuse. Currently, the results of the research have been used to empower DevOps that face the problem of complex deployment models on heterogeneous infrastructures.

An Ontology excerpt representing TOSCA language concepts
A knowledge-base guided authoring tool for complex deployment models

PROJECTS

PUBLICATIONS

  1. I. Kumara, A. Lazzaro, N. Mujkanovic, Z. Vasileiou, D. Tamburri, "Quality Assurance and Design-Time Optimization.", in Deployment and Operation of Complex Software in Heterogeneous Execution Environments, E. Di Nitto, J. G. Cruz, I. Kumara, D. Radolović, K. Tokmakov, and Z. Vasileiou, Eds., Cham, Switzerland: Springer, July 2022, pp. 53–66. DOI:https://doi.org/10.1007/978-3-031-04961-3
  2. J. Gorroñogoitia, D. Radolović, Z. Vasileiou, G. Meditskos, A. Karakostas, S. Vrochidis, M. Bachras, "The SODALITE Model-Driven Approach.", in Deployment and Operation of Complex Software in Heterogeneous Execution Environments, E. Di Nitto, J. Gorroñogoitia Cruz, I. Kumara, D. Radolović, K. Tokmakov, and Z. Vasileiou, Eds., Cham, Switzerland: Springer, July 2022, pp. 23–52. DOI:https://doi.org/10.1007/978-3-031-04961-3
  3. A. Karakostas, G. Apostolou, R. Poler, B. Andrés, R. Trevino, A. M. Nowak-Meitinger, R. Jochem, S. Vrochidis, "How to Collect Factories’ Requirements for Smart Manufacturing in Context of Quality Control: the i4Q Approach.", in Proceedings of the 29th IEEE International Requirements Engineering Conference, Notre Dame, South Bend, USA, 20-24 September 2021.
  4. R. Poler, A. Karakostas, S. Vrochidis, A. Marguglio, S. Settier, P. Figueiras, A. Gómez-González, B. Mandler, S. Wellsandt, R. Trevino, S. Bassoumi, C. Agostinho, "An IoT-based Reliable Industrial Data Services for Manufacturing Quality Control.", in Proceedings of the 2021 IEEE International Conference on Engineering, Technology and Innovation, 21-23 June 2021. OPEN ACCESS
  5. A. Karakostas, F. Fraile, R. Poler, S. Vrochidis, "Industrial Data Services for Quality Control in Smart Manufacturing - the i4Q Framework.", in Proceedings of the 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, Virtual, 07-09 June 2021.
  6. G. Meditskos, Z. Vasileiou, A. Karakostas, S. Vrochidis, I. Kompatsiaris, "A Pattern-based Semantic Lifting of Cloud and HPC Applications using OWL 2 Meta-modelling.", in Proceedings of the International Conference on High Performance Computing & Simulation (HPCS 2020), Barcelona Spain, 10-14 December 2020.
  7. I. Kumara, Z. Vasileiou, G. Meditskos, D. Tamburri, W.J. Van Den Heuvel, A. Karakostas, S. Vrochidis, I. Kompatsiaris, "Towards Semantic Detection of Smells in Cloud Infrastructure Code.", in Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics (WIMS2020), August 2020, pp. 63 - 67. OPEN ACCESS
  8. D. Hilbring, A. Moumtzidou, J. Mossgraber and S. Vrochidis, "Semantically Enriching an Open Source SOS Implementation for Accessing Heterogeneous Environmental Data Sources", The Global Conference for Open Source Geospatial Software, Nottingham, UK, September 17-21, 2013.