Daniel Rosendo

Orcid: 0000-0003-1175-8426

According to our database1, Daniel Rosendo authored at least 25 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Methodologies for Reproducible Analysis of Workflows on the Edge-to-Cloud Continuum. (Méthodologies pour l'Analyse Reproductible des Workflows Edge-to-Cloud).
PhD thesis, 2023

ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments.
Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, 2023

2022
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review.
J. Parallel Distributed Comput., 2022

2021
Enabling Reproducible Analysis of Complex Workflows on the Edge-to-Cloud Continuum.
CoRR, 2021

Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud Continuum.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020
Availability analysis of design configurations to compose virtual performance-optimized data center systems in next-generation cloud data centers.
Softw. Pract. Exp., 2020

Optimizing the Cloud Data Center Availability Empowered by Surrogate Models.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

E2Clab: Exploring the Computing Continuum through Repeatable, Replicable and Reproducible Edge-to-Cloud Experiments.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019
A methodology to assess the availability of next-generation data centers.
J. Supercomput., 2019

DCAV: A software system to evaluate next-generation cloud data center availability through a friendly graphical interface.
Softw. Pract. Exp., 2019

A Standard to Rule Them All: Redfish.
IEEE Commun. Stand. Mag., 2019

Measuring the impact of data center failures on a cloud-based emergency medical call system.
Concurr. Comput. Pract. Exp., 2019

Maximizing the Availability of Composable Systems of Next-Generation Data Centers.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Methodology for Automating the Cloud Data Center Availability Assessment.
Proceedings of the Advanced Information Networking and Applications, 2019

2018
A High-level Authorization Framework for Software-Defined Networks.
Proceedings of the Companion Proceedings of the 36th Brazilian Symposium on Computer Networks and Distributed Systems, 2018

How to Improve Cloud Services Availability? Investigating the Impact of Power and It Subsystems Failures.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017
Minimizing and Managing Cloud Failures.
Computer, 2017

Analyzing the IT subsystem failure impact on availability of cloud services.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

Evaluating the cooling subsystem availability on a Cloud data center.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

Prototyping a high availability PaaS: Performance analysis and lessons learned.
Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

A Network Access Control solution combining OrBAC and SDN.
Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

An autonomic and policy-based authorization framework for OpenFlow networks.
Proceedings of the 13th International Conference on Network and Service Management, 2017

Modeling and analyzing power system failures on cloud services.
Proceedings of the 13th International Conference on Network and Service Management, 2017

Highly Available Clouds: System Modeling, Evaluations, and Open Challenges.
Proceedings of the Research Advances in Cloud Computing, 2017


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