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CORDIS

Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications

Livrables

Report on RECAP Concertation V.1

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

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

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

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

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

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

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

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

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

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

This deliverable accounts for the outcomes of T7.1 and T7.2.

Final Workload, Load Propagation, and Application Models

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

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

This deliverable will include a review of all concertation activities undertaken during the project.

Initial workload, Load propagation, and Application Models

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

This follow-up deliverable will provide updates on targets, detailed figures and progress towardsimplementing the concertation plan.

Final System Architecture and Integration

The second iteration of the architecture and integration deliverable

Final infrastructure modelling and resource mapping

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

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.

Initial Testbed Configuration

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

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

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

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

This deliverable documents the realisation of the demonstrators.

Final RECAP simulation platform

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

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.

RECAP Project Website

This deliverable will provide the successful deployment of the project website.

Publications

Towards understanding HPC users and systems: A NERSC case study

Auteurs: Gonzalo P. Rodrigo, P.-O. Östberg, Erik Elmroth, Katie Antypas, Richard Gerber, Lavanya Ramakrishnan
Publié dans: Journal of Parallel and Distributed Computing, Numéro 111, 2018, Page(s) 206-221, ISSN 0743-7315
Éditeur: Academic Press
DOI: 10.1016/j.jpdc.2017.09.002

Power-performance tradeoffs in data center servers: DVFS, CPU pinning, horizontal, and vertical scaling

Auteurs: Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson, Per-Olov Östberg, Erik Elmroth
Publié dans: Future Generation Computer Systems, Numéro 81, 2018, Page(s) 114-128, ISSN 0167-739X
Éditeur: Elsevier BV
DOI: 10.1016/j.future.2017.10.044

Analyzing the availability and performance of an e-health system integrated with edge, fog and cloud infrastructures

Auteurs: Guto Leoni Santos, Patricia T. Endo, Matheus F. F. S. Lisboa Tigre, Leylane Ferreira, Djamel Sadok, Judith Kelner and Theo Lynn
Publié dans: Journal of Cloud Computing: Advances, Systems and Applications, 2018, ISSN 2192-113X
Éditeur: Springer Science + Business Media

Simulating large vCDN networks: A parallel approach

Auteurs: Christos K. Filelis-Papadopoulos, Konstantinos M. Giannoutakis, George A. Gravvanis, Patricia Takako Endo, Dimitrios Tzovaras, Sergej Svorobej, Theo Lynn
Publié dans: Simulation Modelling Practice and Theory, Numéro 92, 2019, Page(s) 100-114, ISSN 1569-190X
Éditeur: Elsevier BV
DOI: 10.1016/j.simpat.2019.01.001

Towards simulation and optimization of cache placement on large virtual content distribution networks

Auteurs: Christos K. Filelis-Papadopoulos, Patricia Takako Endo, Malika Bendechache, Sergej Svorobej, Konstantinos M. Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras, James Byrne, Theo Lynn
Publié dans: Journal of Computational Science, Numéro 39, 2020, Page(s) 101052, ISSN 1877-7503
Éditeur: Elsevier BV
DOI: 10.1016/j.jocs.2019.101052

Self-Service Cybersecurity Monitoring as Enabler for DevSecOps

Auteurs: Jessica Diaz, Jorge E. Perez, Miguel A. Lopez-Pena, Gabriel A. Mena, Agustin Yague
Publié dans: IEEE Access, Numéro 7, 2019, Page(s) 100283-100295, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2930000

Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing

Auteurs: Thang Le Duc, Rafael García Leiva, Paolo Casari, Per-Olov Östberg
Publié dans: ACM Computing Surveys, Numéro 52/5, 2019, Page(s) 1-39, ISSN 0360-0300
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3341145

A Novel Hyperparameter-Free Approach to Decision Tree Construction That Avoids Overfitting by Design

Auteurs: Rafael Garcia Leiva, Antonio Fernandez Anta, Vincenzo Mancuso, Paolo Casari
Publié dans: IEEE Access, Numéro 7, 2019, Page(s) 99978-99987, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2930235

Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges

Auteurs: Sergej Svorobej, Patricia Takako Endo, Malika Bendechache, Christos Filelis-Papadopoulos, Konstantinos Giannoutakis, George Gravvanis, Dimitrios Tzovaras, James Byrne, Theo Lynn
Publié dans: Future Internet, Numéro 11/3, 2019, Page(s) 55, ISSN 1999-5903
Éditeur: MDPI
DOI: 10.3390/fi11030055

Continuous Anything for Distributed Research Projects

Auteurs: Volpert, Simon; Griesinger, Frank; Domaschka, Jörg
Publié dans: Dependability Engineering, Numéro 1, 2018, Page(s) 23-46, ISBN 978-953-51-5592-8
Éditeur: IntechOpen

The Impact of the Storage Tier: A Baseline Performance Analysis of Containerized DBMS

Auteurs: Daniel Seybold, Christopher B. Hauser, Georg Eisenhart, Simon Volpert, Jörg Domaschka
Publié dans: Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers, Numéro 11339, 2019, Page(s) 93-105, ISBN 978-3-030-10548-8
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-10549-5_8

Technology, Science, and Culture: A Global Vision

Auteurs: Sergio Picazo-Vela, Luis Ricardo Hernández
Publié dans: Technology, Science and Culture - A Global Vision, 2019, ISBN 978-1-78985-273-8
Éditeur: IntechOpen
DOI: 10.5772/intechopen.83691

Done Yet? A Critical Introspective of the Cloud Management Toolbox

Auteurs: Leznik, Mark; Volpert, Simon; Griesinger, Frank; Seybold, Daniel and Domaschka, Jörg
Publié dans: 24th IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2018, ISBN 978-1-5386-1468-6
Éditeur: IEEE Xplore

Modeling the availability of an e-health system integrated with edge, fog and cloud infrastructures

Auteurs: Matheus Felipe Ferreira da Silva Lisboa Tigre, Guto Leoni Santos, Theo Lynn, Djamel Sadok, Judith Kelner, and Patricia Takako Endo
Publié dans: IEEE Symposium on Computers and Communications (IEEE ISCC 2018), 2018
Éditeur: IEEE Xplore

"ATMoN: Adapting the ""Temporality"" in Large-Scale Dynamic Networks"

Auteurs: Demetris Trihinas, Luis F. Chiroque, George Pallis, Antonio Fernandez Anta, Marios D. Dikaiakos
Publié dans: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018, Page(s) 400-410, ISBN 978-1-5386-6871-9
Éditeur: IEEE
DOI: 10.1109/ICDCS.2018.00047

SAT-IoT: An Architectural Model for a High-Performance Fog/Edge/Cloud IoT Platform

Auteurs: Miguel Angel Lopez Pena, Isabel Munoz Fernandez
Publié dans: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Numéro 15-18 April 2019, 2019, Page(s) 633-638, ISBN 978-1-5386-4980-0
Éditeur: IEEE
DOI: 10.1109/wf-iot.2019.8767282

Adaptive Resource Provisioning based on Application State

Auteurs: Constantine Ayimba, Paolo Casari, Vincenzo Mancuso
Publié dans: 2019 International Conference on Computing, Networking and Communications (ICNC), 2019, Page(s) 663-668, ISBN 978-1-5386-9223-3
Éditeur: IEEE
DOI: 10.1109/ICCNC.2019.8685605

Mowgli - Finding Your Way in the DBMS Jungle

Auteurs: Daniel Seybold, Moritz Keppler, Daniel Gründler, Jörg Domaschka
Publié dans: Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering - ICPE '19, 2019, Page(s) 321-332, ISBN 9781-450362399
Éditeur: ACM Press
DOI: 10.1145/3297663.3310303

Towards Understanding the Performance of Distributed DatabaseManagement Systems in Volatile Environments

Auteurs: Jörg Domaschka, Daniel Seybold
Publié dans: Symposium on Software Performance 2019, Numéro 10, 2019
Éditeur: Wprzburg University

Kaa: Evaluating Elasticity of Cloud-hosted DBMS

Auteurs: Daniel Seybold, Simon Volpert, Stefan Wesner, Andre Bauer, Nikolas Herbst, Jörg Domaschka
Publié dans: International Conference on Cloud Computing Technology and Science, Numéro 11, 2019
Éditeur: IEEE

Unified Container Environments for Scientific Cluster Scenarios

Auteurs: Benjamin Schanzel, Mark Leznik, Simon Volpert, Jörg Domaschka, Stefan Wesner
Publié dans: bwHPC Symposium, Numéro 5, 2019
Éditeur: Tübingen University

Analyzing Resource Distribution over a Real-World Large-Scale Virtual Content Infrastructure

Auteurs: 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
Publié dans: IEEE Symposium on Computers and Communications (ISCC), 2019
Éditeur: IEEE

A Hybrid Fitness-Utility Algorithm for Improved Service Chain Placement

Auteurs: Radhika Loomba, Thijs Metsch, Leonard Feehan, Joe Butler
Publié dans: 2018 IEEE Global Communications Conference (GLOBECOM), 2018, Page(s) 1-7, ISBN 978-1-5386-4727-1
Éditeur: IEEE
DOI: 10.1109/glocom.2018.8648033

Optimizing resource availability in composable data center infrastructures

Auteurs: 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.
Publié dans: Proceedings of 2019 Ninth Latin-American Symposium on Dependable Computing (LADC)., 2020
Éditeur: IEEE Explore

Analysing dependability and performance of a real-world Elastic Search application

Auteurs: Bendechache, M., Silva, I., Leoni Santos, G., Affonso Guedes, L., Svorobej, S., Noya, M., Eduardo Ares, M., Byrne, J., Endo, P. and Lynn, T.
Publié dans: 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT 19) Cosenza, Italy, 2020
Éditeur: IEEE Explore

Modelling and Simulation of ElasticSearch using CloudSim

Auteurs: Bendechache, M., Svorobej, S., Endo, P., Byrne, J. Noya Mariño, M. Eduardo Ares, M. and Lynn, T.
Publié dans: 9th Latin-American Symposium on Dependable Computing, 2020
Éditeur: ACM

RECAP (Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications): The Simulation Approach

Auteurs: Endo, P.T., Filelis-Papadopoulos, C., Svorobej, S., Gourinovitch, A., Giannoutakis, K., Gravvanis, G., Tzovaras, D., Manimaran Elango, D., Byrne, J. and Lynn, T.
Publié dans: 7th European Conference on Service-oriented and Cloud Computing, 2018
Éditeur: Springer

A Modelling Language for Defining Cloud Simulation Scenarios in RECAP Project Context

Auteurs: Cleber Matos de Morais, Patricia Endo, Sergej Svorobej, Theo Lynn
Publié dans: 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2018, Page(s) 301-302, ISBN 978-1-5386-4235-1
Éditeur: IEEE
DOI: 10.1109/vlhcc.2018.8506544

RECAP - Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications

Auteurs: Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim, Robbi Rahim
Publié dans: European Space Projects: Developments, Implementations and Impacts in a Changing World, 2017, Page(s) 75-86, ISBN 978-989-758-311-7
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007901800750086

Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments.

Auteurs: T. Le Duc, M. Leznik, J. Domaschka, P-O. Östberg
Publié dans: Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering, ICPE 2020, 2020
Éditeur: ACM

Application, Workload, and Infrastructure Models for Virtualized Content Delivery Networks Deployed in Edge Computing Environments

Auteurs: Thang Le Duc, Per-Olov Oestberg
Publié dans: 2018 27th International Conference on Computer Communication and Networks (ICCCN), 2018, Page(s) 1-7, ISBN 978-1-5386-5156-8
Éditeur: IEEE
DOI: 10.1109/icccn.2018.8487450

Power Shepherd: Application Performance Aware Power Shifting

Auteurs: Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro, Per-Olov Ostberg, Erik Elmroth
Publié dans: 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019, Page(s) 45-53, ISBN 978-1-7281-5011-6
Éditeur: IEEE
DOI: 10.1109/cloudcom.2019.00019

Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers

Auteurs: J. Krzywda, V. Meyer, M. Xavier, A. Ali-Eldin, P-O. Östberg, C. De Rose, E. Elmroth
Publié dans: Proceedings of the 28th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2020), 2020
Éditeur: IEEE

ALPACA: Application Performance Aware Server Power Capping

Auteurs: Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro, Per-Olov Ostberg, Erik Elmroth
Publié dans: 2018 IEEE International Conference on Autonomic Computing (ICAC), 2018, Page(s) 41-50, ISBN 978-1-5386-5139-1
Éditeur: IEEE
DOI: 10.1109/icac.2018.00014

A Review of Cloud Computing Simulation Platforms and Related Environments

Auteurs: James Byrne, Sergej Svorobej, Konstantinos M. Giannoutakis, Dimitrios Tzovaras, P. J. Byrne, Per-Olov Östberg, Anna Gourinovitch, Theo Lynn
Publié dans: Proceedings of the 7th International Conference on Cloud Computing and Services Science, 2017, Page(s) 679-691, ISBN 978-989-758-243-1
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006373006790691

Reliable capacity provisioning for distributed cloud/edge/fog computing applications

Auteurs: 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
Publié dans: 2017 European Conference on Networks and Communications (EuCNC), 2017, Page(s) 1-6, ISBN 978-1-5386-3873-6
Éditeur: IEEE
DOI: 10.1109/EuCNC.2017.7980667

A Preliminary Systematic Review of Computer Science Literature on Cloud Computing Research using Open Source Simulation Platforms

Auteurs: Theo Lynn, Anna Gourinovitch, James Byrne, P. J. Byrne, Sergej Svorobej, Konstaninos Giannoutakis, David Kenny, John Morrison
Publié dans: Proceedings of the 7th International Conference on Cloud Computing and Services Science, 2017, Page(s) 565-573, ISBN 978-989-758-243-1
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006351805650573

SQLR: Short-Term Memory Q-Learning for Elastic Provisioning

Auteurs: Constantine Ayimba, Paolo Casari, Vincenzo Mancuso
Publié dans: Arxiv repository, 2019
Éditeur: Arxiv

Managing Distributed Cloud Applications and Infrastructure: A Self-Optimising Approach

Auteurs: Lynn, P.T., Mooney, J.G., Domaschka, J., Ellis, K.A. (Eds.)
Publié dans: Palgrave Studies in Digital Business & Enabling Technologies, 2020, ISBN 978-3-030-39863-7
Éditeur: Palgrave-Macmillan

The Cloud-to-Thing Continuum - Opportunities and Challenges in Cloud, Fog and Edge Computing

Auteurs: Lynn, P.T., Mooney, J., Lee, B., Endo, P.T. (Eds.)
Publié dans: Palgrave Studies in Digital Business & Enabling Technologies, 2020
Éditeur: Palgrave-Macmillan

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