@proceedings {Bruneo201371,
	title = {Availability Assessment of a Vision Cloud Storage Cluster},
	journal = {European Conference on Service-Oriented and Cloud Computing (ESOCC)},
	volume = {393 Communications in Computer and Information Science},
	year = {2013},
	note = {cited By 0; Conference of European Conference on Service-Oriented and Cloud Computing, ESOCC 2013 ; Conference Date: 11 September 2013 Through 13 September 2013; Conference Code:106555},
	pages = {71-82},
	publisher = {Springer Verlag},
	address = {Malaga, Spain, 11-13 September 2013},
	abstract = {<p>VISION Cloud is a European Commission funded project, whose aim is to design and propose a new architecture for a scalable and flexible cloud environment. The VISION Cloud reference architecture considers a single cloud as composed by multiple distributed data centers each of which can be composed by a great number of storage clusters. On top of the storage rich nodes forming each cluster, a distributed file system is built. In this paper, we provide an stochastic reward net model for a storage cluster in the context of the storage cloud environment proposed by the VISION Cloud project. The proposed model represents a first step in the direction of obtaining a quantification of the availability level reached through the use of the VISION Cloud proposed architecture from a user perspective. {\textcopyright} Springer-Verlag Berlin Heidelberg 2013.</p>
},
	keywords = {Architecture, Availability assessment, cloud computing, Cloud environments, Distributed file systems, European Commission, Proposed architectures, Reference architecture, Stochastic models, Stochastic reward nets, Stochastic systems, User perspectives},
	isbn = {9783642453632},
	issn = {18650929},
	doi = {10.1007/978-3-642-45364-9_7},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84904676242\&partnerID=40\&md5=d7510b50bf986e126b22270279202382},
	author = {Dario Bruneo and Francesco Longo and David Hadas and Hillel Kolodner}
}
@proceedings {Distefano2010265,
	title = {Availability assessment of HA standby redundant clusters},
	journal = {Proceedings of the 29th IEEE Symposium on Reliable Distributed Systems (SRDS)},
	year = {2010},
	note = {cited By 14; Conference of 29th IEEE Symposium on Reliable Distributed Systems, SRDS 2010 ; Conference Date: 31 October 2010 Through 3 November 2010; Conference Code:82914},
	pages = {265-274},
	publisher = {IEEE Computer Society},
	address = {New Delhi, India, 31 October - 3 November 2010},
	abstract = {<p>Computing systems are becoming the heart of modern technology, implementing critical tasks usually demanded to and implying human interactions. This highlights the problem of dependability in computer science contexts. High availability computing/clusters is a possible solution in such cases, implementing standby redundancy as a tradeoff between dependability and costs. From the engineering perspective, this implies the use of specific techniques and tools for adequately evaluating the reliability/availability of high availability clusters, also taking into account dependencies among nodes (standby, repair, etc.) and the effect of wear and tear into such nodes, especially when failure and repair times are not exponentially distributed. The solution proposed in this paper is based on the use of phase type distributions and Kronecker algebra. In fact, we represent the reliability and maintainability of each component by specific phase type distributions, whose interactions describe the system availability. This latter is thus modeled by an expanded Markov chain expressed in terms of Kronecker algebra in order to face the state space explosion problem of expansion techniques and to represent the memory policies related to the aging process. More specifically, the paper firstly details the technique and then applies it to the evaluation of a standby redundant system representing a high availability cluster taken as example with the aim of demonstrating its effectiveness. Moreover, in order to show the potentiality of the technique, different maintenance strategies are evaluated and therefore compared. {\textcopyright} 2010 IEEE.</p>
},
	keywords = {Aging process, Algebra, Availability assessment, Computing system, Critical tasks, Dynamic reliability, Engineering perspective, High availability, High-availability clusters, Human interactions, Kronecker algebra, Maintainability, Maintenance strategies, Markov Chain, Markov processes, Modern technologies, phase type distributions, Possible solutions, Quality assurance, Redundancy, Redundant system, Standby redundancy, State-space explosion, System availability, Wear and tear},
	isbn = {9780769542508},
	issn = {10609857},
	doi = {10.1109/SRDS.2010.37},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-78650560407\&partnerID=40\&md5=9666fbfeaaae60d0a7d7ca8f388600e7},
	author = {Salvatore Distefano and Francesco Longo and Marco Scarpa}
}
