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Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications

Total Cost €


EC-Contrib. €






Project "RECAP" data sheet

The following table provides information about the project.


Organization address
city: ULM
postcode: 89081

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website
 Total cost 4˙607˙871 €
 EC max contribution 4˙607˙871 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2016-1
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2019-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET ULM DE (ULM) coordinator 636˙875.00
3    UMEA UNIVERSITET SE (UMEA) participant 710˙125.00
4    DUBLIN CITY UNIVERSITY IE (DUBLIN) participant 640˙259.00
6    FUNDACION IMDEA NETWORKS ES (LEGANES (MADRID)) participant 450˙250.00
9    LINKNOVATE SCIENCE SL ES (Santiago de Compostela) participant 236˙875.00


 Project objective

Large-scale computing systems are today built as distributed systems (for reasons of scale, heterogeneity, cost and energy efficiency) where components and services are distributed and accessed remotely through clients and devices. In some systems, in particular latency-sensitive or high availability systems, components are also placed closer to end-users (in, e.g., radio base stations and other systems on the edge of access networks) in order to increase reliability and reduce latency - a style of computing often referred to as edge or fog computing. However, while recent years have seen significant advances in system instrumentation as well as data centre energy efficiency and automation, computational resources and network capacity are often provisioned using best effort provisioning models and coarse-grained quality of service (QoS) mechanisms, even in state-of-the-art data centres. These limitations are seen as a major hindrance in the face of the coming evolution of(IoT and the networked society, and have even today manifested in, e.g., a limited cloud adoption of systems with high reliability requirements such as telecommunications infrastructure and emergency services systems. RECAP goes beyond the current state of the art and develop the next generation of cloud/edge/fog computing capacity provisioning via targeted research advances in cloud infrastructure optimization, simulation and automation. Building on advanced machine learning, optimization and simulation techniques. The overarching result of RECAP is the next generation of agile and optimized cloud computing systems. The outcomes of the project will pave the way for a radically novel concept in the provision of cloud services, where services are instantiated and provisioned close to the users that actually need them by self-configurable cloud computing systems.


List of deliverables.
Final RECAP simulation platform Other 2020-04-25 01:08:15
Final Quality-of-service metrics and models Documents, reports 2020-04-25 01:08:03
Final infrastructure orchestration and optimisation Documents, reports 2020-04-25 01:08:43
Initial Requirements Documents, reports 2020-04-25 01:10:35
Validation Report Documents, reports 2020-04-25 01:11:08
RECAP initial integrated prototype Other 2020-04-25 01:09:23
Report on RECAP Concertation V.2 Documents, reports 2020-04-25 01:08:57
Report on RECAP Concertation V.3 Documents, reports 2020-04-25 01:09:10
Final System Architecture and Integration Documents, reports 2020-04-25 01:06:48
Improved Testbed Configuration Other 2020-04-25 01:06:35
Methods and framework for data visualization Other 2020-04-25 01:07:37
Final data acquisition and analytics models Documents, reports 2020-04-25 01:07:24
Initial data acquisition and analytics models Documents, reports 2020-04-25 01:07:12
System Demonstrator Other 2020-04-25 01:07:00
Final infrastructure modelling and resource mapping Documents, reports 2020-04-25 01:08:29
Final Requirements and Validation Plan Documents, reports 2020-04-25 01:10:53
Final Workload, Load Propagation, and Application Models Documents, reports 2020-04-25 01:07:50
RECAP Project Website Websites, patent fillings, videos etc. 2019-09-02 10:58:10
Initial infrastructure modelling and resource mapping Documents, reports 2019-09-02 10:58:10
Initial workload, Load propagation, and Application Models Documents, reports 2019-09-02 10:58:10
Intermediate simulation platform: Applications and workload mapping Documents, reports 2019-09-02 10:58:10
Initial System Architecture and Integration Documents, reports 2019-09-02 10:58:10
Initial Quality-of-service metrics and models Documents, reports 2019-09-02 10:58:10
Initial simulation platform Other 2019-09-02 10:58:10
Report on RECAP Concertation V.1 Documents, reports 2019-09-02 10:58:10
Initial Testbed Configuration Other 2019-09-02 10:58:10
Initial infrastructure orchestration and optimisation Documents, reports 2019-09-02 10:58:10

Take a look to the deliverables list in detail:  detailed list of RECAP deliverables.


year authors and title journal last update
List of publications.
2019 Sergej Svorobej, Patricia Takako Endo, Malika Bendechache, Christos Filelis-Papadopoulos, Konstantinos Giannoutakis, George Gravvanis, Dimitrios Tzovaras, James Byrne, Theo Lynn
Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges
published pages: 55, ISSN: 1999-5903, DOI: 10.3390/fi11030055
Future Internet 11/3 2020-02-13
2020 T. Le Duc, M. Leznik, J. Domaschka, P-O. Östberg
Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments.
published pages: , ISSN: , DOI:
Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering, ICPE 2020 2020-02-13
2020 J. Krzywda, V. Meyer, M. Xavier, A. Ali-Eldin, P-O. Östberg, C. De Rose, E. Elmroth
Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers
published pages: , ISSN: , DOI:
Proceedings of the 28th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2020) 2020-02-13
2020 Bendechache, M., Svorobej, S., Endo, P., Byrne, J. Noya Mariño, M. Eduardo Ares, M. and Lynn, T.
Modelling and Simulation of ElasticSearch using CloudSim
published pages: , ISSN: , DOI:
9th Latin-American Symposium on Dependable Computing 2020-02-12
2020 Lynn, P.T., Mooney, J., Lee, B., Endo, P.T. (Eds.)
The Cloud-to-Thing Continuum - Opportunities and Challenges in Cloud, Fog and Edge Computing
published pages: , ISSN: , DOI:
Palgrave Studies in Digital Business & Enabling Technologies 2020-02-12
2020 Bendechache, M., Silva, I., Leoni Santos, G., Affonso Guedes, L., Svorobej, S., Noya, M., Eduardo Ares, M., Byrne, J., Endo, P. and Lynn, T.
Analysing dependability and performance of a real-world Elastic Search application
published pages: , ISSN: , DOI:
23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT 19) Cosenza, Italy 2020-02-12
2020 Ferreira, L., da Silva Rochay. E., Monteiroy, K., Santos, G., Silva, F., Kelner, J. Sadok, D., Bastos Filho, C., Rosati, P., Lynn, T. and Endo, P.
Optimizing resource availability in composable data center infrastructures
published pages: , ISSN: , DOI:
Proceedings of 2019 Ninth Latin-American Symposium on Dependable Computing (LADC). 2020-02-12
2018 Endo, P.T., Filelis-Papadopoulos, C., Svorobej, S., Gourinovitch, A., Giannoutakis, K., Gravvanis, G., Tzovaras, D., Manimaran Elango, D., Byrne, J. and Lynn, T.
RECAP (Reliable Capacity Provisioning and Enhanced Remediationfor Distributed Cloud Applications): The Simulation Approach
published pages: , ISSN: , DOI:
7th European Conference on Service-oriented and Cloud Computing 2020-02-12
2020 Christos K. Filelis-Papadopoulos, Patricia Takako Endo, Malika Bendechache, Sergej Svorobej, Konstantinos M. Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras, James Byrne, Theo Lynn
Towards simulation and optimization of cache placement on large virtual content distribution networks
published pages: 101052, ISSN: 1877-7503, DOI: 10.1016/j.jocs.2019.101052
Journal of Computational Science 39 2020-02-05
2019 Thang Le Duc, Rafael García Leiva, Paolo Casari, Per-Olov Östberg
Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing
published pages: 1-39, ISSN: 0360-0300, DOI: 10.1145/3341145
ACM Computing Surveys 52/5 2020-02-05
2019 Christos K. Filelis-Papadopoulos, Konstantinos M. Giannoutakis, George A. Gravvanis, Patricia Takako Endo, Dimitrios Tzovaras, Sergej Svorobej, Theo Lynn
Simulating large vCDN networks: A parallel approach
published pages: 100-114, ISSN: 1569-190X, DOI: 10.1016/j.simpat.2019.01.001
Simulation Modelling Practice and Theory 92 2020-02-05
2019 Jessica Diaz, Jorge E. Perez, Miguel A. Lopez-Pena, Gabriel A. Mena, Agustin Yague
Self-Service Cybersecurity Monitoring as Enabler for DevSecOps
published pages: 100283-100295, ISSN: 2169-3536, DOI: 10.1109/access.2019.2930000
IEEE Access 7 2020-02-05
2019 Jörg Domaschka, Daniel Seybold
Towards Understanding the Performance of Distributed DatabaseManagement Systems in Volatile Environments
published pages: , ISSN: , DOI:
Symposium on Software Performance 2019 10 2020-02-04
2019 Benjamin Schanzel, Mark Leznik, Simon Volpert, Jörg Domaschka, Stefan Wesner
Unified Container Environments for Scientific Cluster Scenarios
published pages: , ISSN: , DOI:
bwHPC Symposium 5 2020-02-04
2019 Patricia Takako Endo; Radhika Loomba; Ruth Quinn; Christos Filelis-Papadopoulos; Konstantinos Giannoutakis; George A. Gravvanis; Dimitrios Tzovaras; Peter Willis; Sergej Svorobej, James Byrne and Theo Lynn
Analyzing Resource Distribution over a Real-World Large-Scale Virtual Content Infrastructure
published pages: , ISSN: , DOI:
IEEE Symposium on Computers and Communications (ISCC) 2020-02-04
2019 Daniel Seybold, Simon Volpert, Stefan Wesner, Andre Bauer, Nikolas Herbst, Jörg Domaschka
Kaa: Evaluating Elasticity of Cloud-hosted DBMS
published pages: , ISSN: , DOI:
International Conference on Cloud Computing Technology and Science 11 2020-02-04
2019 Constantine Ayimba, Paolo Casari, Vincenzo Mancuso
SQLR: Short-Term Memory Q-Learning for Elastic Provisioning
published pages: , ISSN: , DOI:
Arxiv repository 2020-02-04
2019 Rafael Garcia Leiva, Antonio Fernandez Anta, Vincenzo Mancuso, Paolo Casari
A Novel Hyperparameter-Free Approach to Decision Tree Construction That Avoids Overfitting by Design
published pages: 99978-99987, ISSN: 2169-3536, DOI: 10.1109/access.2019.2930235
IEEE Access 7 2020-02-04
2018 Gonzalo P. Rodrigo, P.-O. Östberg, Erik Elmroth, Katie Antypas, Richard Gerber, Lavanya Ramakrishnan
Towards understanding HPC users and systems: A NERSC case study
published pages: 206-221, ISSN: 0743-7315, DOI: 10.1016/j.jpdc.2017.09.002
Journal of Parallel and Distributed Computing 111 2019-09-02
2018 Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson, Per-Olov Östberg, Erik Elmroth
Power-performance tradeoffs in data center servers: DVFS, CPU pinning, horizontal, and vertical scaling
published pages: 114-128, ISSN: 0167-739X, DOI: 10.1016/j.future.2017.10.044
Future Generation Computer Systems 81 2019-09-02
2018 Guto Leoni Santos, Patricia T. Endo, Matheus F. F. S. Lisboa Tigre, Leylane Ferreira, Djamel Sadok, Judith Kelner and Theo Lynn
Analyzing the availability and performance of an e-health system integrated with edge, fog and cloud infrastructures
published pages: , ISSN: 2192-113X, DOI:
Journal of Cloud Computing: Advances, Systems and Applications 2019-09-02
2018 Matheus Felipe Ferreira da Silva Lisboa Tigre, Guto Leoni Santos, Theo Lynn, Djamel Sadok, Judith Kelner, and Patricia Takako Endo
Modeling the availability of an e-health system integrated with edge, fog and cloud infrastructures
published pages: , ISSN: , DOI:
IEEE Symposium on Computers and Communications (IEEE ISCC 2018) 2019-09-02

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