@proceedings {Tricomi2017,
	title = {Orchestrated Multi-Cloud Application Deployment in OpenStack with TOSCA},
	journal = {2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017},
	year = {2017},
	note = {cited By 0; Conference of 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017 ; Conference Date: 29 May 2017 Through 31 May 2017; Conference Code:128356},
	publisher = {Institute of Electrical and Electronics Engineers Inc.},
	address = {Hong Kong; China; 29-31 May 2017},
	abstract = {<p>Cloud computing is becoming a relatively mature paradigm in the ICT landscape. In light of the growing appetite for resources and service levels on par with user expectations, multi-cloud scenarios are becoming the next frontier in the usage of distributed datacenters for private and hybrid Cloud scenarios. Application deployment in particular is a noteworthy feature to be evaluated as microservices become mainstream in adoption. Especially so when considered jointly with orchestration services; indeed OpenStack, as the most widely adopted Cloud middleware among the OpenSource community, features an orchestration subsystem, and may orchestrate the deployment of applications and services. In this work the authors will describe an architecture, developed within the H2020 BEACON project, for a standardized approach to orchestrated application deployment in multi-Cloud OpenStack-based setups, with TOSCA providing the specifications. {\textcopyright} 2017 IEEE.</p>
},
	keywords = {Cloud federations, deployment, microservices, middleware, Multi-clouds, OpenStack, orchestration, Platform as a Service (PaaS), TOSCA},
	isbn = {9781509065172},
	doi = {10.1109/SMARTCOMP.2017.7947027},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85023168002\&doi=10.1109\%2fSMARTCOMP.2017.7947027\&partnerID=40\&md5=94bbf6ca2fa1b1d2b92047683723948c},
	author = {Giuseppe Tricomi and Alfonso Panarello and Giovanni Merlino and Francesco Longo and Dario Bruneo and Antonio Puliafito}
}
@proceedings {7092964,
	title = {How to Enhance Cloud Architectures to Enable Cross-Federation: Towards Interoperable Storage Providers},
	journal = { IEEE International Conference on Cloud Engineering (IC2E), Tempe, AZ, USA},
	year = {2015},
	month = {March},
	pages = {480-486},
	publisher = {IEEE Computer Society},
	address = {Washington D.C.},
	keywords = {Big Data, Big Data storage, CLEVER, CLEVER message oriented middleware, cloud architectures, cloud computing, cloud storage market, cross-federation, Ecosystems, federated cloud ecosystem, federation, Hadoop, Hadoop distribute file system, HDFS, inter-domain communication management, interoperable storage providers, Message systems, middleware, MOM, Protocols, public domain software, Resource management, Servers, small-medium cloud storage providers, Storage, storage management, XML, XMPP},
	doi = {10.1109/IC2E.2015.80},
	url = {http://conferences.computer.org/IC2E/2015/index.htm},
	author = {Maria Fazio and Antonio Celesti and Massimo Villari and Antonio Puliafito}
}
@proceedings {Bruneo2010243,
	title = {VO-level performance analysis of gLite Grids},
	journal = {Proceedings of the 19th IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)},
	year = {2010},
	note = {cited By 0; Conference of 19th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2010 ; Conference Date: 28 June 2010 Through 30 June 2010; Conference Code:81490},
	pages = {243-248},
	publisher = {IEEE Computer Society},
	address = {Larissa, Greece, 28-30 June 2010},
	abstract = {<p>Business oriented grids call for effective Quality of Service strategies able to adapt to different user requirements. Performance analyses and predictions with respect to different load conditions or management policies are essential instruments to define such strategies. In this paper, we present a non-Markovian Stochastic Petri Net model that allows to conduct performance analyses of Grid systems focusing on aspects related to the Virtual Organization as a whole. Different job allocation techniques will be evaluated with respect to both user and provider point-of-views. We will also investigate the influence of different information update policies on the accuracy of the allocation schemes, highlighting the costs/benefits in terms of job waiting time, service availability, and system utilization. {\textcopyright} 2010 IEEE.</p>
},
	keywords = {Business-oriented, gLite middleware, Graph theory, Grid computing, Grid systems, Information updates, Job allocation, Load condition, Management policy, middleware, Non-Markovian, Performance analysis, performance measurements, Petri nets, Quality of service, Random access storage, Service availability, Stochastic models, Stochastic Petri Nets, Stochastic systems, System utilization, User requirements, Virtual organization, Waiting-time},
	isbn = {9780769540634},
	issn = {15244547},
	doi = {10.1109/WETICE.2010.45},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77955917215\&partnerID=40\&md5=5f89b9d07327325a09d78d1af77f0519},
	author = {Dario Bruneo and Francesco Longo and Marco Scarpa and Antonio Puliafito}
}
