Cloud Computing has been widely adopted as an alternative paradigm respect to Grid Computing to provide resources because of the advantages it brings to both users and providers. GaaS was born with the aim to enable the use of Cloud-provided resources with well-established Grid-like interfaces, avoiding the need for users to learn new resources access and use models. In previous experiences we developed a prototype for GaaS, by using the most used Cloud open source technologies and frameworks available at that time (e.g. Eucaliptus, OpenNebula, ...). Here we present the final stage of our work on GaaS that now is based on several de-facto and consolidated standards in Cloud, Virtualization and Grid worlds: Openstack, KVM and EMI. Furthermore, we present both a) a production level version of GaaS and b) GApp the mobile interface to the GaaS framework.

GaaS 2.0: the new release based on Openstack with features implemented with OCCI.

L Carracciuolo;
2016

Abstract

Cloud Computing has been widely adopted as an alternative paradigm respect to Grid Computing to provide resources because of the advantages it brings to both users and providers. GaaS was born with the aim to enable the use of Cloud-provided resources with well-established Grid-like interfaces, avoiding the need for users to learn new resources access and use models. In previous experiences we developed a prototype for GaaS, by using the most used Cloud open source technologies and frameworks available at that time (e.g. Eucaliptus, OpenNebula, ...). Here we present the final stage of our work on GaaS that now is based on several de-facto and consolidated standards in Cloud, Virtualization and Grid worlds: Openstack, KVM and EMI. Furthermore, we present both a) a production level version of GaaS and b) GApp the mobile interface to the GaaS framework.
2016
Istituto per i Polimeri, Compositi e Biomateriali - IPCB
Inglese
Giuliano Laccetti (University of Naples Federico II, Italy), Leonardo Merola (University of Naples Federico II, Italy), Roberto Bellotti (University of Bari Aldo Moro, Italy), Giuseppe Andronico (INFN-Catania, Italy), Guglielmo de Nardo (University of Naples Federico II, Italy), Giorgio Maggi (Polytechnic University of Bari, Italy), Guido Russo (University of Naples Federico II, Italy), Lucia Silvestris (INFN-Bari, Italy), Enrico Tassi (University of Calabria, Italy), Sabina Tangaro (INFN-Bari, Italy)
High Performance Scientific Computing Using Distributed Infrastructures - Results and Scientific Applications Derived from the Italian PON ReCaS Project
447
462
16
978-981-4759-70-0
World Scientific Publishing Co
Singapore
SINGAPORE
grid and cloud computing infrastrucure
8
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
Barone, Gb; Boccia, V; Bottalico, D; Carracciuolo, L; Laccetti, G; Solla, A; Tebano, A; Spisso, B
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/308875
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