Welcome To The 1st International Workshop on Cloud Resource Orchestration in the Multi-cloud Landscape (CROW 2020)


It's Nice To Meet You


AUG 24 - 26, 2020. Rome, Italy.


Overview

The multi-cloud paradigm is designed to provide cloud users with a wider range of cloud-based services to select from, according to the dynamics of the business needs. The advantages range from increase of flexibility to reduction of reliance on a single cloud vendor, which in turn brings concrete benefits such as cost effectiveness, service continuity, disaster mitigation, etc. The other side of the multi-cloud coin are the need of thoughtful plans for data governance and compliance following the recent GDPR directive, higher costs due to the management of the cloud sprawl, increase of application delivery’s complexity, deployment and management and more. In such a complex setting, a smart selection and orchestration of the cloud resources and services available in the market need to be enforced in order to maximize the customer’s utility. Cloud resource orchestration involves complex operations such as the selection, deployment, monitoring, and run-time control of resources. The overall goal of orchestration is to guarantee full and seamless delivery of applications by meeting Quality of service (QoS) goals of both cloud application owners and cloud resource providers. Resource orchestration in the multi-cloud landscape is considered a challenging activity because of both the scale dimension that resources have reached and the proliferation of heterogeneous cloud providers offering resources at different levels of the cloud stack.

Important dates

Paper Submission Deadline: 15 May 2020

Notification of Acceptance: 8 June 2020

Camera-ready Submisison Deadline: 15 June 2020

Paper Submission

We invite original research papers that have not been previously published and are not currently under review for publication elsewhere.
Submitted papers should be no longer than 8 pages in two-column IEEE template format.

A "Best Paper Award" Certificate will be conferred on the author(s) of a paper presented at the workshop, selected by the Chairs based on scientific significance, originality and outstanding technical quality of the paper, as assessed also by the evaluations of the members of the Program Committee.

Best papers presented at the workshop will be selected and the corresponding authors will be invited to submit an extended version of their papers for possible publications in:

Submission link

Topics

Download CFP

Workshop topics include, but are not limited to:

INFRASTRUCTURE

  • Service provisioning and monitoring in a multi-cloud environment
  • Orchestration and automation of management activities
  • Quality of Service and SLA in a multi-cloud environment
  • Cross cloud service migration
  • Orchestration of microservices
  • Blockchain-based multi-cloud orchestrator
  • Machine learning techniques for Cloud orchestration

APPLICATIONS AND SERVICES

  • Multi-cloud Resource Elasticity
  • Multi-cloud Deployment and Orchestration
  • Open-source Private multi-cloud Solutions
  • Algorithms and Systems for Automated elasticity
  • Autonomic cloud
  • Cloud Federations

DESIGN AND METHODOLOGIES

  • Data migration
  • Data governance across multi-cloud
  • Multi-cloud Storage
  • Fault management in multi-cloud provisioning
  • Disaster mitigation
  • Security policies
  • Cost mitigation strategies

About

  • Aug 24-26, 2020.

    Rome, Italy.

    Workshop of the The 8th International Conference on Future Internet of Things and Cloud (FiCloud 2020).

    Conference link
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Technical Program Committee

Chairs

Dr. Giuseppe Di Modica

Dr. Ioannis Konstantinou

Mr. Antonino Galletta


TPC Members (Sorted by surname)

Jorge Bernal Bernabe, University of Murcia, Murcia, Spain
Alina Buzachis, University of Messina, Italy
Jose M. Alcaraz Calero, University of the West of Scotland, United Kingdom
Nikolaos Chalvantzis, Computing Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Greece
Antonella Di Stefano, University of Catania, Italy
Katerina Doka, School of Electrical and Computer Engineering, National Technical University of Athens, Greece
Christos Efthymios Kotselidis, University of Manchester
Tingjian Ge, University of Massachusetts Lowell, USA
Giorgos Goumas, Computing Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens
Dragi Kimovski, University of Innsbruck, Austria
Zheng Li, Amazon, USA
Mukaddim Pathan, Telstra Corporation Limited, Australia
Thanassis Loukopoulos, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Greece
Armando Ruggeri, University of Messina, Italy
Ravi Sandhu, University of Texas at San Antonio, USA
Mukesh Singhal, University of California, Merced, USA
Orazio Tomarchio, University of Catania, Italy
Dimitros Tsoumakos, Department of Informatics, Ionian University, Corfu, Greece
NTUA

National Technical University of Athens

UniMe

University of Messina

catania

University of Catania

FcrLab

Future Computing Research Laboratory

IEEE

IEEE

Contact Us

crow2020@googlegroups.com