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Cloud Computing Research Group

Coordinator : Parisa Ghodous, Co-coordinator Frédérique Biennier

Email: parisa.ghodous@liris.cnrs.fr and frederique.biennier@liris.cnrs.fr

Cloud Computing emerges as a new paradigm for hosting and delivering services over internet. We have identified the following research key topics:

  • Programming and access: Novel approaches are necessary for programming and access
  • Resource Management: Allocation, deployment, monitoring and management of cloud resources
  • Middleware and platforms: Interoperability, aggregation of cloud services and federation of cloud platforms
  • Applications: Quality of service and Latency management
  • Security, Privacy, trust

Projects

Nebula european project: a novel vocational training program on cloud computing skills, European LLP / Leonardo da Vinci (540226-LLP-1-2013-1-GR-LEONARDO-LMP), January 2014 - December 2015.

VET4APPS european project: Developing the Skills of the Mobile Application Workforce, ERASMUS +, september 2014- august 2016

This project has been selected as a “success story” by European Commission http://ec.europa.eu/programmes/erasmus-plus/projects/eplus-project-details-page/?nodeRef=workspace://SpacesStore/a44dc2f5-d07f-4556-b182-02817199cdf8

New European Project : http://blockchain.univ-lyon1.fr/fr/BLISS Blockchain skills for ICT professionals 01-10-2017 to 31-03-2020

Conferences and workshops organized by group

Members

  • Parisa Ghodous LIRIS Université Lyon 1 ghodous@liris.cnrs.fr
  • Frédérique Biennier, SOC, LIRIS, frederique.biennier@insa-lyon.fr
  • Jean Patrick Gelas ENS Université Lyon 1 jean-patrick.gelas@ens-lyon.fr
  • Nabila Benharkat LIRIS Université Lyon 1 nabila.benharkat@liris.cnrs.fr
  • Genoveva Vargas LIG, Grenoble genoveva.vargas@gmail.com
  • Dunren Che, Southern Illinois University dche@cs:siu:edu
  • Olivier Boissier ISCOD - LSTI Saint-Etienne, Olivier.Boissier@emse.fr
  • Christophe Gravier Telecom, Saint-Etienne christophe.gravier@telecom-st-etienne.fr
  • Ramin Yahyapour Dortmund University ramin.yahyapour@tu-dortmund.de
  • Mahmoud Barhamgi LIRIS, Université Lyon 1, barhamgi@liris.cnrs.fr
  • Hassan Badir, National School of Applied sciences of Tangier (ENSAT), Morocco, hassan.badir@uae.ma
  • Djamal Benslimane Université Lyon 1, djamal.benslimane@liris.cnrs.fr
  • Catarina Ferreira Da Silva, University of Lyon 1, catarina.ferreira-da-silva@liris.cnrs.fr
  • Youakim Badr, INSA de Lyon, youakim.badr@insa-lyon.fr
  • Moisés Lima Dutra, Brazil, moises@floripa.com.br
  • Chirine Ghedira, LIRIS, Université Lyon 3
  • Nicolas Figay, EADS nicolas.figay@eads.net
  • Malik Khalfallah LIRIS, EADS Malik.Khalfallah@eads.net
  • Francis Ouedraogo, LIRIS
  • Mihaela Juganaru-Mathieu, Ecole Nationale Supérieure des Mines de St Etienne, Département ISCOD, mathieu@emse.fr
  • Omar Boussaid ERIC Lyon 2
  • Nadia Kebachi ERIC Lyon 1
  • Hind Benfenatki, PHD, LIRIS
  • Gavin Kemp,PHD, LIRIS
  • Hayri Acar, PHD, LIRIS
  • Cheikh Kacfah Emani, PHD, LIRIS
  • Mohamad Fardon PHD student, LIRIS
  • Achraf Rahmouni PHD Student, LIRIS
  • Minhu Lyu, PHD Student, LIRIS
  • Mouna Labiadh PHD Student LIRIS
  • Léo Besançon PHD Student LIRIS

Meetings

Papers and documents interesting to read

Standards : NIST (http://www.nist.gov/) European projects related to Cloud : OGF Cloud Computing Interface, OpenNebula, SIA@SOI, BEnGRID, …

NIST definition : “Cloud Computing is a model for enabling convenient, on demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.”

Platform description : A short description of the platform we use to validate our research work.

Short bio


Parisa Ghodous

Professor at university Claude Bernard Lyon 1.

I am interested to the problem of interoperability of cloud platforms. I am also interested to the development of collaborative informations systems on cloud. We are involved in Nebula European Project http://www.nebula-project.eu The list of my publications is available here.

Frédérique Biennier

Professor at INSA Lyon, Computer Science department. She passed her MSc in Computer Science in 1988 and got a Ph. D in Computer Science and Automatics in 1990. After creating and managing the Service Oriented Enterprise research group, she joined the LIRIS Service Oriented Computing research team. Her main research topics focus on service and cloud ecosystems models, business process management, service technology and security management. Her main research interests in Cloud Computing are related to risks and security management, mostly regardig context-aware security deployment and usage control, Cloud ecosystem and contracts models management. She is a member of the IFIP WG5.5 and WG5.7 working groups.

Jean patrick Gelas

Assistant professor at Université Claude Bernard - Lyon 1.

Jean-Patrick Gelas is assistant professor at Université Claude Bernard - Lyon 1. His research activities are located in the INRIA team called RESO in the LIP laboratory (Laboratoire de l'Informatique du Parallélisme) of ÉNS (École Normale Supérieure) of Lyon. His current research work are in the context of large scale distributed high performance processing and storage infrastructure (a.k.a “Cloud Computing”). His goal is to propose and implement new solutions to optimize the usage of the energy consumption in such infrastructure. Studied solutions are from the processing node (system optimisation) to the problem of load distribution (processing and storage) over the whole infrastructure (scheduling), and the study of adapted networks protocols and virtualisation services. He is working in tight relation with Laurent Lefèvre (CR INRIA), Anne-Cécile Orgerie et Landry Tsafack (PhD candidates).

Genoveva Vargas Solar

Researcher at LIG Grenoble

My research activities are related to “DATA MANAGEMENT ON THE CLOUD”

The very basic principle of cloud computing is to assume that applications accessible through a network are built upon a service oriented infrastructure dedicated to provide them with the necessary (not more not less) computing, storage and network resources. The underlying infrastructure manages such resources transparently without demanding the application to have code to manage them or to reserve more resources than those it really requires. The difference with classic approaches is that the application can have an ad hoc execution context and that the resources it consumes are not necessarily located in one machine. Instead of having one for all computer or server, the computing context is configured according to the characteristics of the application. Instead of buying one computer/server resources are provided (and bought) on demand. In classic contexts, the hypothesis done for providing data management functions is to consider a fixed amount of computing and storage resources. Queries and other more demanding applications such as data-­‐mining, are developed under an architecture and resources aware hypothesis. The objective being to try to efficiently the use of limited resources while ensuring results’ delivery in reasonable time intervals (the use of RAM for data mining processes or computing and cache space for relational queries). In contrast, under an “unlimited” resources availability hypothesis, introduced by the cloud, data management approaches must no longer deal with resources limitations, but try to costly execute processes by minimizing their total monetary costs given the “pay as U go” economic model of the cloud. Of course, data delivery can have a cost, so other models for delivering query results must be considered. The objective of our research is to provide new querying, storage and optimization models that are aware of the economic model of the cloud. Data querying and optimization can deal with business data services but also with internal data produced by the internal function of the cloud. Our approach is based on the coordination of cloud IaaS and PaaS services that result in mashups that give access to results at the SaaS level. Our research is financed by three main projects OPTIMACS (ANR ARPAGE), e-­‐CLOUDSS (Microsoft), CLEVER (CNRS STICAMSUD program).

Mahmoud Barhamgi

Associate Professor at University Claude Bernard Lyon 1.

My research interests are in the fields of privacy-preserving query answering and data integration in the clouds. Cloud computing has emerged as a successful paradigm that considerably simplifies the deployment of computing and storage infrastructures of both large and small enterprises. Increasing concerns about data security and privacy in the cloud, however, have emerged, as vulnerabilities were found in cloud service providers’ sites, and user data leakage incidents were reported for a number of cloud based application services. Ensuring security and privacy for data management and query processing in the cloud is therefore critical for better and broader uses of the cloud. Nevertheless, providing such secure and privacy-preserving data services is very challenging, as security problems can arise in multiple levels of the data services, and security and privacy protection may impede functionality and performance of the data services. My research works focus on providing models, schemes and techniques for protecting data confidentiality and query access privacy for sensitive data being stored and queried in the cloud.

Catarina Ferreira Da Silva

Associate Professor at University Claude Bernard Lyon 1.

Catarina Ferreira Da Silva is working on the 1) description and aggregation of complex cloud services and 2) the study of methodologies of migration to cloud.

In the Nebula european project (A novel vocational training program on cloud computing skills, European LLP / Leonardo da Vinci (540226-LLP-1-2013-1-GR-LEONARDO-LMP)) we broach methodologies of migration to cloud.

In the OSSaaS project (Operational Support Systems as a Service), with IPN and the University of Coimbra, we deal with migration of legacy OSS to Cloud infrastructure and platforms. It is a project financed by the portuguese government through the QREN program and involves a major telecom company. We propose a generic architecture to manage the instantiation and the configuration of OSS complex applications as SaaS (Software-as-a-Service) services.

In the CloudAid project, we deal with Aggregation of Linked USDL Cloud Services using Multi-Criteria Methods. This is a collaborative work with Professors Jorge Cardoso and Paulo Melo (from the University of Coimbra, Portugal), the master Jorge Araújo and the master student Daniel Barrigas.

Youakim Badr

Associate Professor, HDR, INSA de Lyon

Youakim BADR, Ph.D., joined the faculty of the National Institute of Applied Sciences, France (formally INSA-Lyon) as Associate Professor of Computer Science in 2004. Along the way of his research activities, he has worked extensively in the area of service computing and service engineering. His current research interests lie in designing and implementing secured large-scale IT-enabled services based on the Internet of Things (IoT) and Cloud capabilities. In particular, he focuses on large-scale resilient services in decentralized and dynamic environments, including research topics such as scalable architectures, security-by-design, on-the-fly adaptation to changes, dynamic event load balancing and data-services integration for massive event-streams. Dr. Badr is vigorously involved in a series of international conferences and also serves as a reviewer for various conferences and journals.

Chirine Ghedira

Associate Professor at university Claude Bernard Lyon 1.

Despite the benefits cloud computing can bring to today’s modern enterprises, many security and privacy concerns (regarding data and services) must be addressed to encourage the wide adoption of cloud computing. My research in the field aims on one hand at building data and services protection framework for dynamically managing security policies, deploying and managing compliant security mechanisms to provide a life-long due usage control on data and services in order to provide a contextual and evolving protection level, even after their release. The challenge here is to provide a design environment to set up and compose a unified Due Usage policy in order to protect information and services and generate the convenient security policy taking into account the XaaS level and the Cloud environment. This work is released with the collaboration of Frédérique Biennier.

On the other hand, another problem is to be considered when it comes to hybrid clouds. The use of hybrid cloud imposes strict rules on data migration from one type of cloud to another. Indeed, the exported data to the private cloud need to be protected against unauthorized access and alteration. Using data from the public cloud in the private cloud, needs to check if these data are confidently (produced by services with confidence, derived from reliable data itself). This problem is treated as part of a cross project between SOC (Service Oriented Computing) and DRIM (Distribution et Recherche d'Information, Mobilité ) teams of the LIRIS lab.

Hassan BADIR

Associate Professor at National School of Applied sciences of Tangier (ENSAT)

Cloud Computing Overview Cloud computing is currently becoming an imperative paradigm for the management and delivery of Internet services. In fact, cloud computing has been reshaping information technology drastically, and eventually making utility computing come true. Nevertheless, although cloud computing offers considerable advantages, its complete potential cannot be realized due to the limited existing technologies. Several important concerns in this field, including data sharing, data integration, and data security are catching researchers’ attention. Accordingly, remarkable revolutionary contributions can be brought to this domain.

Sara Ibn El Ahrache

PHD Abdelmalek Essaâdi University

Jérôme Darmont

Professor at Université Lumière Lyon 2.

My background lies in databases and data warehouses, especially performance optimization, auto-administration and benchmarking. My research interests related to the cloud include cloud business intelligence (BI), personal/collaborative BI, data access performance and/or cost optimization, and data privacy and availability. I am co-chair of the Cloud Intelligence (Cloud-I) international workshop.

Mihaela Juganaru-Mathieu

Associate Professor at Ecole Nationale Supérieure des Mines de St Etienne

The actual main field of research is Data Mining on semi-structured data. Old research fields were operating system (routing and load balancing) in parallel and distributed systems and information retrieval for semi-structured data.

Cloud Computing offers now a huge opportunity to manage and explore differently very large amount of data and offers also new kind of services to use.

Since 2010-2011 I'm teaching Cloud and Grid Computing at Télécom St Etienne http://www.emse.fr/~mathieu/CGC.

start.txt · Dernière modification: 2018/11/29 15:23 de pghodous

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