Conveners
Federated cloud PaaS and SaaS
- Diego Scardaci (EGI.eu/INFN)
Description
Platform as a service (PaaS) and Software as a Service (SaaS) provides users with higher abstraction layers than Infrastructure as a Service (IaaS) to build and run applications without dealing with the details of the infrastructure in the case of PaaS, or to directly use the applications with thin clients or via web browsers in the case of SaaS. This double session showcases various efforts for using the EGI Federated Cloud to host both kind of solutions for researchers. The session aims to facilitate interactions with the various members of the EGI Community developing PaaS and SaaS solutions, to gather further requirements for the EGI Federated Cloud to better support them and to promote these solutions among researchers.
Pasquale Pagano
(CNR)
06/04/2016, 16:00
Andrea Giachetti
(CIRMMP),
Antonio Rosato
(CIRMMP),
Emidio Giorgio
(INFN),
Marcin Plociennik
(ICBP),
Marco Fargetta
(INFN),
Michal Owsiak,
Riccardo Bruno
(INFN),
Roberto Barbera
(University of Catania and INFN),
Sandro Fiore
(SPACI),
Tomasz Zok
(ICBP)
06/04/2016, 16:40
In Cloud computing, both the public and private sectors are already offering Cloud resources as IaaS (Infrastructure as a Service). However, there are numerous areas of interest to scientific communities where Cloud Computing uptake is currently lacking, especially at the PaaS (Platform as a Service) and SaaS (Software as a Service) levels.
In this context, INDIGO-DataCloud (INtegrating...
Carlos Blanco
(University of Cantabria),
Peter Kacsuk
(MTA SZTAKI),
Tamas Kiss
(University of Westminster, London, UK)
06/04/2016, 17:00
With the rapid increase of data volumes in scientific computations, the importance of utilising parallel and distributed computing paradigms in data processing is becoming more and more important. Hadoop is an open source implementation of the MapReduce framework supporting processing large datasets in parallel and on multiple nodes in a reliable and fault-tolerant manner. Scientific workflow...