CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
This deliverable will provide details about the Concertation Plan and a progress report on concertation activities and impact against planned metrics in the first 12 months.
Final infrastructure orchestration and optimisation (opens in new window)The final and updated version of the D8.2 deliverable. It will capture the developed orchestration and optimisationmethods as well as the complete simulation framework.
Final Requirements and Validation Plan (opens in new window)Based on the results and insights gained from the first integrated system, this deliverable re-visits and finalises the requirements and puts up a plan of how the RECAP shall be validated.
Initial infrastructure modelling and resource mapping (opens in new window)Initial models for the representation of infrastructure landscape, dependencies and configuration of virtual and physical infrastructure resources. This deliverable will capture also preliminary load translation models and methods as the outcome of the tasks 8.2 and 8.3.
Final data acquisition and analytics models (opens in new window)This deliverable will provide the final data acquisition and data analysis mechanisms, refined and tuned based on experiences from the initial versions and the developments of WP6, WP7 and WP8
Initial data acquisition and analytics models (opens in new window)This deliverable will provide initial data acquisition mechanisms for offline (trace based) data analysis and online (monitoring based) data acquisition. It will deal with preliminary analytics models providing fundamental data filtering, aggregation, pre-processing and analysis capabilities
Initial infrastructure orchestration and optimisation (opens in new window)This deliverable will capture the initial application and resource orchestration approaches and utility functions. In addition, it will document improved placement and re-placement optimisationmethods, and holistic configuration optimisationmethods. Statistical and machine learning methods that (semi-)automatically can recognize and classify patterns in data centre configurations, and the contributions of application structures and components to these. Simulation capabilities will be delivered for evaluation and experimentation with different types of applications and optimisationmethods.
Initial Requirements (opens in new window)This document details the constraints, wishes, and requirements for each of the use cases and testbed operators. This not only holds for functional requirements, but also captures quality of service aspects and sketches the technical framework such as APIs that have to be used.
Initial System Architecture and Integration (opens in new window)This deliverable documents the system architecture and the way the software artefacts from the various technical work packages will beassembled in order to getit a working, integrated system(D4.3)
Intermediate simulation platform: Applications and workload mapping (opens in new window)This deliverable will demonstrate how the models have been mapped into the simulation platform. In addition, the intermediate validation of the models against real measurements will be shown in this deliverable. The simulation capabilities will be delivered for evaluation and experimentation with different types of applications and optimisationmethods.
Final Quality-of-service metrics and models (opens in new window)This deliverable accounts for the outcomes of T7.1 and T7.2.
Final Workload, Load Propagation, and Application Models (opens in new window)Advancedworkload and application models that a fine granularity capture the composition and statistical properties of request-based workloads for data centre applications, and provide stable predictive capabilities including, e.g., proactive auto-scaling techniques, burst and anomaly detection techniques, and provisioning of simulation models that allow (re-)construction of artificial traces that retain the statistical properties of the original traces. Load propagation models that build on the preliminary load models and provide more advanced application elasticity and remediation capabilities such as probabilistic estimations for alternative load paths and component health-monitoring based recovery mechanisms that can be used in deployment optimisationand self-tuning of applications.
Validation Report (opens in new window)This deliverable documents the results of the validation and aligns the requirements with the actual capabilities of the platform.
Report on RECAP Concertation V.3 (opens in new window)This deliverable will include a review of all concertation activities undertaken during the project.
Initial workload, Load propagation, and Application Models (opens in new window)Initial workload and application models (including workload decomposition and characterization methods) that capture workload characteristics at a fine-grained scale and model the propagation of request patterns through application structures (including the application response to workloads) simultaneously. Preliminary versions of simulation tools facilitation basic experimentation with workloads, including, e.g., replaying and visualizing load patterns
Report on RECAP Concertation V.2 (opens in new window)This follow-up deliverable will provide updates on targets, detailed figures and progress towardsimplementing the concertation plan.
Final System Architecture and Integration (opens in new window)The second iteration of the architecture and integration deliverable
Final infrastructure modelling and resource mapping (opens in new window)Final resource management models that extend the capabilities of the initial versions and include models for more accurate prediction of resource requirements and mapping of the high level workload behaviour to low level resource landscape.
Initial Quality-of-service metrics and models (opens in new window)This deliverable will describe quality-of-service metrics and models for the characterization of quality-of-service provisioning the next-generation cloud architectures. The content of this deliverable will be fed to T7.1 and T7.2, in order to be integrated into the simulation framework.
This deliverable documents the installation and configuration of the testbeds provided by UULM.In particular, it aligns the technical set-up with the requirements defined in D3.1. Moreover, the document serves as a manual documenting how consortium partner can make use of it.
RECAP initial integrated prototype (opens in new window)This deliverable integrates the software artefacts from Deliverables D5.1, D6.1, D7.2, D8.1, and D8.2 in a distributed software platform following the architecture and paradigms described in D4.2. The outcome is a basic building block for the update testbeds
Improved Testbed Configuration (opens in new window)This document updates D4.1 taking into account the experiences gained from the first integration and the changes made to address potentially changed and refined requirements in D3.2.
Methods and framework for data visualization (opens in new window)This deliverable will define methods, frameworks, and web-accessible APIs to create and customize data visualization, enabling the inspection of application structures, deployments, mappings to infrastructure resources, and load propagation patterns.
System Demonstrator (opens in new window)This deliverable documents the realisation of the demonstrators.
Final RECAP simulation platform (opens in new window)The final capabilities of the simulation framework will be presented into this deliverable, including the parallelisation process, the simulation simplification, and their designs.
Initial simulation platform (opens in new window)This deliverable will capture the simulation platform and its capabilities. Main designs and initial tests of the models will be delivered. The deliverable will capture also the process to start the simulation processes automatically.
This deliverable will provide the successful deployment of the project website.
This deliverable has the objective to address the lack of publicly available data traces with annotated application and infrastructure loads. It will discuss providing techniques for artificial workload generation. Part of these traces will be published freely to fill the current lack of data on cloud infrastructure behaviourand to provide a starting point for modellingand experimental repeatability.
Publications
Author(s):
Gonzalo P. Rodrigo, P.-O. Östberg, Erik Elmroth, Katie Antypas, Richard Gerber, Lavanya Ramakrishnan
Published in:
Journal of Parallel and Distributed Computing, Issue 111, 2018, Page(s) 206-221, ISSN 0743-7315
Publisher:
Academic Press
DOI:
10.1016/j.jpdc.2017.09.002
Author(s):
Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson, Per-Olov Östberg, Erik Elmroth
Published in:
Future Generation Computer Systems, Issue 81, 2018, Page(s) 114-128, ISSN 0167-739X
Publisher:
Elsevier BV
DOI:
10.1016/j.future.2017.10.044
Author(s):
Guto Leoni Santos, Patricia T. Endo, Matheus F. F. S. Lisboa Tigre, Leylane Ferreira, Djamel Sadok, Judith Kelner and Theo Lynn
Published in:
Journal of Cloud Computing: Advances, Systems and Applications, 2018, ISSN 2192-113X
Publisher:
Springer Science + Business Media
Author(s):
Christos K. Filelis-Papadopoulos, Konstantinos M. Giannoutakis, George A. Gravvanis, Patricia Takako Endo, Dimitrios Tzovaras, Sergej Svorobej, Theo Lynn
Published in:
Simulation Modelling Practice and Theory, Issue 92, 2019, Page(s) 100-114, ISSN 1569-190X
Publisher:
Elsevier BV
DOI:
10.1016/j.simpat.2019.01.001
Author(s):
Christos K. Filelis-Papadopoulos, Patricia Takako Endo, Malika Bendechache, Sergej Svorobej, Konstantinos M. Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras, James Byrne, Theo Lynn
Published in:
Journal of Computational Science, Issue 39, 2020, Page(s) 101052, ISSN 1877-7503
Publisher:
Elsevier BV
DOI:
10.1016/j.jocs.2019.101052
Author(s):
Jessica Diaz, Jorge E. Perez, Miguel A. Lopez-Pena, Gabriel A. Mena, Agustin Yague
Published in:
IEEE Access, Issue 7, 2019, Page(s) 100283-100295, ISSN 2169-3536
Publisher:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2019.2930000
Author(s):
Thang Le Duc, Rafael García Leiva, Paolo Casari, Per-Olov Östberg
Published in:
ACM Computing Surveys, Issue 52/5, 2019, Page(s) 1-39, ISSN 0360-0300
Publisher:
Association for Computing Machinary, Inc.
DOI:
10.1145/3341145
Author(s):
Rafael Garcia Leiva, Antonio Fernandez Anta, Vincenzo Mancuso, Paolo Casari
Published in:
IEEE Access, Issue 7, 2019, Page(s) 99978-99987, ISSN 2169-3536
Publisher:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2019.2930235
Author(s):
Sergej Svorobej, Patricia Takako Endo, Malika Bendechache, Christos Filelis-Papadopoulos, Konstantinos Giannoutakis, George Gravvanis, Dimitrios Tzovaras, James Byrne, Theo Lynn
Published in:
Future Internet, Issue 11/3, 2019, Page(s) 55, ISSN 1999-5903
Publisher:
MDPI
DOI:
10.3390/fi11030055
Author(s):
Volpert, Simon; Griesinger, Frank; Domaschka, Jörg
Published in:
Dependability Engineering, Issue 1, 2018, Page(s) 23-46, ISBN 978-953-51-5592-8
Publisher:
IntechOpen
Author(s):
Daniel Seybold, Christopher B. Hauser, Georg Eisenhart, Simon Volpert, Jörg Domaschka
Published in:
Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers, Issue 11339, 2019, Page(s) 93-105, ISBN 978-3-030-10548-8
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-10549-5_8
Author(s):
Sergio Picazo-Vela, Luis Ricardo Hernández
Published in:
Technology, Science and Culture - A Global Vision, 2019, ISBN 978-1-78985-273-8
Publisher:
IntechOpen
DOI:
10.5772/intechopen.83691
Author(s):
Leznik, Mark; Volpert, Simon; Griesinger, Frank; Seybold, Daniel and Domaschka, Jörg
Published in:
24th IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2018, ISBN 978-1-5386-1468-6
Publisher:
IEEE Xplore
Author(s):
Matheus Felipe Ferreira da Silva Lisboa Tigre, Guto Leoni Santos, Theo Lynn, Djamel Sadok, Judith Kelner, and Patricia Takako Endo
Published in:
IEEE Symposium on Computers and Communications (IEEE ISCC 2018), 2018
Publisher:
IEEE Xplore
Author(s):
Demetris Trihinas, Luis F. Chiroque, George Pallis, Antonio Fernandez Anta, Marios D. Dikaiakos
Published in:
2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018, Page(s) 400-410, ISBN 978-1-5386-6871-9
Publisher:
IEEE
DOI:
10.1109/ICDCS.2018.00047
Author(s):
Miguel Angel Lopez Pena, Isabel Munoz Fernandez
Published in:
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Issue 15-18 April 2019, 2019, Page(s) 633-638, ISBN 978-1-5386-4980-0
Publisher:
IEEE
DOI:
10.1109/wf-iot.2019.8767282
Author(s):
Constantine Ayimba, Paolo Casari, Vincenzo Mancuso
Published in:
2019 International Conference on Computing, Networking and Communications (ICNC), 2019, Page(s) 663-668, ISBN 978-1-5386-9223-3
Publisher:
IEEE
DOI:
10.1109/ICCNC.2019.8685605
Author(s):
Daniel Seybold, Moritz Keppler, Daniel Gründler, Jörg Domaschka
Published in:
Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering - ICPE '19, 2019, Page(s) 321-332, ISBN 9781-450362399
Publisher:
ACM Press
DOI:
10.1145/3297663.3310303
Author(s):
Jörg Domaschka, Daniel Seybold
Published in:
Symposium on Software Performance 2019, Issue 10, 2019
Publisher:
Wprzburg University
Author(s):
Daniel Seybold, Simon Volpert, Stefan Wesner, Andre Bauer, Nikolas Herbst, Jörg Domaschka
Published in:
International Conference on Cloud Computing Technology and Science, Issue 11, 2019
Publisher:
IEEE
Author(s):
Benjamin Schanzel, Mark Leznik, Simon Volpert, Jörg Domaschka, Stefan Wesner
Published in:
bwHPC Symposium, Issue 5, 2019
Publisher:
Tübingen University
Author(s):
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
Published in:
IEEE Symposium on Computers and Communications (ISCC), 2019
Publisher:
IEEE
Author(s):
Radhika Loomba, Thijs Metsch, Leonard Feehan, Joe Butler
Published in:
2018 IEEE Global Communications Conference (GLOBECOM), 2018, Page(s) 1-7, ISBN 978-1-5386-4727-1
Publisher:
IEEE
DOI:
10.1109/glocom.2018.8648033
Author(s):
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.
Published in:
Proceedings of 2019 Ninth Latin-American Symposium on Dependable Computing (LADC)., 2020
Publisher:
IEEE Explore
Author(s):
Bendechache, M., Silva, I., Leoni Santos, G., Affonso Guedes, L., Svorobej, S., Noya, M., Eduardo Ares, M., Byrne, J., Endo, P. and Lynn, T.
Published in:
23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT 19) Cosenza, Italy, 2020
Publisher:
IEEE Explore
Author(s):
Bendechache, M., Svorobej, S., Endo, P., Byrne, J. Noya Mariño, M. Eduardo Ares, M. and Lynn, T.
Published in:
9th Latin-American Symposium on Dependable Computing, 2020
Publisher:
ACM
Author(s):
Endo, P.T., Filelis-Papadopoulos, C., Svorobej, S., Gourinovitch, A., Giannoutakis, K., Gravvanis, G., Tzovaras, D., Manimaran Elango, D., Byrne, J. and Lynn, T.
Published in:
7th European Conference on Service-oriented and Cloud Computing, 2018
Publisher:
Springer
Author(s):
Cleber Matos de Morais, Patricia Endo, Sergej Svorobej, Theo Lynn
Published in:
2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2018, Page(s) 301-302, ISBN 978-1-5386-4235-1
Publisher:
IEEE
DOI:
10.1109/vlhcc.2018.8506544
Author(s):
Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim
Published in:
European Space Projects: Developments, Implementations and Impacts in a Changing World, 2017, Page(s) 75-86, ISBN 978-989-758-311-7
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007901800750086
Author(s):
T. Le Duc, M. Leznik, J. Domaschka, P-O. Östberg
Published in:
Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering, ICPE 2020, 2020
Publisher:
ACM
Author(s):
Thang Le Duc, Per-Olov Oestberg
Published in:
2018 27th International Conference on Computer Communication and Networks (ICCCN), 2018, Page(s) 1-7, ISBN 978-1-5386-5156-8
Publisher:
IEEE
DOI:
10.1109/icccn.2018.8487450
Author(s):
Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro, Per-Olov Ostberg, Erik Elmroth
Published in:
2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019, Page(s) 45-53, ISBN 978-1-7281-5011-6
Publisher:
IEEE
DOI:
10.1109/cloudcom.2019.00019
Author(s):
J. Krzywda, V. Meyer, M. Xavier, A. Ali-Eldin, P-O. Östberg, C. De Rose, E. Elmroth
Published in:
Proceedings of the 28th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2020), 2020
Publisher:
IEEE
Author(s):
Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro, Per-Olov Ostberg, Erik Elmroth
Published in:
2018 IEEE International Conference on Autonomic Computing (ICAC), 2018, Page(s) 41-50, ISBN 978-1-5386-5139-1
Publisher:
IEEE
DOI:
10.1109/icac.2018.00014
Author(s):
James Byrne, Sergej Svorobej, Konstantinos M. Giannoutakis, Dimitrios Tzovaras, P. J. Byrne, Per-Olov Östberg, Anna Gourinovitch, Theo Lynn
Published in:
Proceedings of the 7th International Conference on Cloud Computing and Services Science, 2017, Page(s) 679-691, ISBN 978-989-758-243-1
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0006373006790691
Author(s):
Per-Olov Ostberg, James Byrne, Paolo Casari, Philip Eardley, Antonio Fernandez Anta, Johan Forsman, John Kennedy, Thang Le Duc, Manuel Noya Marino, Radhika Loomba, Miguel Angel Lopez Pena, Jose Lopez Veiga, Theo Lynn, Vincenzo Mancuso, Sergej Svorobej, Anders Torneus, Stefan Wesner, Peter Willis, Jorg Domaschka
Published in:
2017 European Conference on Networks and Communications (EuCNC), 2017, Page(s) 1-6, ISBN 978-1-5386-3873-6
Publisher:
IEEE
DOI:
10.1109/EuCNC.2017.7980667
Author(s):
Theo Lynn, Anna Gourinovitch, James Byrne, P. J. Byrne, Sergej Svorobej, Konstaninos Giannoutakis, David Kenny, John Morrison
Published in:
Proceedings of the 7th International Conference on Cloud Computing and Services Science, 2017, Page(s) 565-573, ISBN 978-989-758-243-1
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0006351805650573
Author(s):
Constantine Ayimba, Paolo Casari, Vincenzo Mancuso
Published in:
Arxiv repository, 2019
Publisher:
Arxiv
Author(s):
Lynn, P.T., Mooney, J.G., Domaschka, J., Ellis, K.A. (Eds.)
Published in:
Palgrave Studies in Digital Business & Enabling Technologies, 2020, ISBN 978-3-030-39863-7
Publisher:
Palgrave-Macmillan
Author(s):
Lynn, P.T., Mooney, J., Lee, B., Endo, P.T. (Eds.)
Published in:
Palgrave Studies in Digital Business & Enabling Technologies, 2020
Publisher:
Palgrave-Macmillan
Searching for OpenAIRE data...
There was an error trying to search data from OpenAIRE
No results available