Here you can find a consolidated (a.k.a. slowly updated) list of my publications. A frequently updated (and possibly noisy) list of works is available on my Google Scholar profile.
Please find below a short list of highlight publications for my recent activity.
Davide, Bacciu; Grazia, Buscemi Maria; Lusine, Mkrtchyan Adaptive fuzzy-valued service selection Conference Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10, 2010. Davide, Bacciu; Grazia, Buscemi Maria; Lusine, Mkrtchyan Adaptive Service Selection - A Fuzzy-valued Matchmaking Approach Technical Report Dipartimento di Informatica, Universita' di Pisa Technical Report, no. TR-09-21, 2009. Davide, Bacciu; Alessio, Botta; Hernan, Melgratti A Fuzzy Approach for Negotiating Quality of Services Conference TRUSTWORTHY GLOBAL COMPUTING, Lecture Notes in Computer Science, vol. 4661, Springer Verlag, 2007.@conference{11568_465482,
title = {Adaptive fuzzy-valued service selection},
author = {Bacciu Davide and Buscemi Maria Grazia and Mkrtchyan Lusine },
doi = {10.1145/1774088.1774598},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10},
journal = {PROCEEDINGS OF THE .. ACM SYMPOSIUM ON APPLIED COMPUTING},
pages = {2467--2471},
abstract = {Service composition concerns both integration of heterogeneous distributed applications and dynamic selection of services. QoS-aware selection enables a service requester with certain QoS requirements to classify services according to their QoS guarantees. In this paper we present a method that allows for a fuzzy-valued description of QoS parameters. Fuzzy sets are suited to specify both the QoS preferences raised by a service requester such as 'response time must be as lower as possible and cannot be more that 1000ms' and approximate estimates a provider can make on the QoS capabilities of its services like 'availability is roughly between 95% and 99%'. We propose a matchmaking procedure based on a fuzzy-valued similarity measure that, given the specifications of QoS parameters of the requester and the providers, selects the most appropriate service among several functionally-equivalent ones. We also devise a method for dynamical update of service offers by means of runtime monitoring of the actual QoS performance.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
@techreport{matchmakingTR09,
title = {Adaptive Service Selection - A Fuzzy-valued Matchmaking Approach},
author = {Bacciu Davide and Buscemi Maria Grazia and Mkrtchyan Lusine},
url = {http://eprints.adm.unipi.it/id/eprint/2241},
year = {2009},
date = {2009-10-01},
urldate = {2009-10-01},
number = {TR-09-21},
institution = {Dipartimento di Informatica, Universita' di Pisa},
type = {Technical Report},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
@conference{11568_466674,
title = {A Fuzzy Approach for Negotiating Quality of Services},
author = {Bacciu Davide and Botta Alessio and Melgratti Hernan },
doi = {10.1007/978-3-540-75336-0_13},
year = {2007},
date = {2007-01-01},
booktitle = {TRUSTWORTHY GLOBAL COMPUTING, Lecture Notes in Computer Science},
journal = {LECTURE NOTES IN COMPUTER SCIENCE},
volume = {4661},
pages = {200--217},
publisher = {Springer Verlag},
abstract = {A central point when integrating services concerns to the description, agreement and enforcement of the quality aspect of service interaction, usually known as Service Level Agreement (SLA). This paper presents a framework for SLA negotiation based on fuzzy sets. We propose (i) a request language for clients to describe quality preferences, (ii) a publication language for providers to define the qualities of their offered services, and (iii) a decision procedure for granting any client request with a SLA contract fitting the requestor requirements. We start with a restricted framework in which the different qualities of a service are handled independently (as being orthogonal) and then we propose an extension that allows clients and providers to express dependencies among different qualities.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}