@proceedings {Bruneo2010,
	title = {QoS assessment of WS-BPEL processes through non-Markovian stochastic Petri nets},
	journal = {Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing (IPDPS)},
	year = {2010},
	note = {cited By 11; Conference of 24th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2010 ; Conference Date: 19 April 2010 Through 23 April 2010; Conference Code:80843},
	publisher = {IEEE Computer Society},
	address = {Atlanta, GA, United States, 19-23 April 2010},
	abstract = {<p>Service Oriented Architecture (SOA) is the most important and effective software paradigm to design Internet-based services. Using the SOA technology, value-added services can be easily deployed as a combination of existing Web services. In this context, WS-BPEL language has become the SOA industrial standard. To allow services to be composed, business relationships between providers and consumers have to be adequately managed. This implies that a formal definition of Quality of Service (QoS) is agreed and that effective tools for its measurement have to be developed. However, the design ofQoS guaranteed composed Web services still requires several efforts due to the highly distributed nature ofsuch software applications. This work aims at proposing a methodology to evaluate Web service performance at the earliest design phase. We present a novel technique to translate WS-BPEL processes into non-Markovian stochastic Petri nets with the final goal to evaluate parameters such as service time distribution and service reliability. The obtained model can be numerically solved through automatic tools, allowing to investigate the service behavior under different operating conditions and thus helping software engineers to develop QoS-guaranteed software solutions. {\textcopyright} 2010 IEEE.</p>
},
	keywords = {Automatic tools, Business relationships, Computer software, Design, Design phase, Distributed parameter networks, Effective tool, Formal definition, Graph theory, Industrial standards, Information services, Internet-based services, Non-Markovian, Novel techniques, Operating condition, Petri nets, Quality of service, Service oriented architecture (SOA), Service reliability, Service time distribution, Software applications, Software engineers, Software paradigm, Software solution, Stochastic Petri Nets, Stochastic systems, Value added service, Web services, WS-BPEL},
	isbn = {9781424464432},
	doi = {10.1109/IPDPS.2010.5470391},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77954020712\&partnerID=40\&md5=70790f3d893defcf4e9c792d8b58c5da},
	author = {Dario Bruneo and Salvatore Distefano and Francesco Longo and Marco Scarpa}
}
@proceedings {Ragusa200953,
	title = {Experiencing with the cloud over glite},
	journal = {Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing (CLOUD)},
	year = {2009},
	note = {cited By 7; Conference of 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing, CLOUD 2009 ; Conference Date: 23 May 2009 Through 23 May 2009; Conference Code:77503},
	pages = {53-60},
	publisher = {IEEE Computer Society},
	address = {Vancouver, BC, Canada, 23 May 2009},
	abstract = {<p>Market competitiveness puts enormous pressures over companies to be agile in providing their offers and adapt to fast changes. In such context, resource dimensioning is an hard and risky task which may lead companies to un-derprovision their data-center, and therefore be unable to cope with peak loads, or to overprovision it, and notfullfill their ROI. Cloud computing ought to provide such ability. In a previous work, we presented our solution for multi-tier web-based application hosting over a gLite based infrastructure. In this paper, we present a further development of our system towards the Cloud model. A scenario describing our system in action is also discussed. {\textcopyright} 2009 IEEE.</p>
},
	keywords = {cloud computing, Cloud models, Competition, Computer science, Computer software, Further development, Multi-tier, Peak load, Resource dimensioning, Web-based applications},
	isbn = {9781424437139},
	doi = {10.1109/CLOUD.2009.5071533},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70349805168\&partnerID=40\&md5=623b9f32a7f837e0d594e9a3c0685b06},
	author = {Carmelo Ragusa and Francesco Longo and Antonio Puliafito}
}
