TY  - CHAP
TI  - Reputation-based Cooperation in the Clouds
AV  - public
Y1  - 2014/02//
KW  - Autonomic Computing
KW  -  Cloud Computing
KW  -  Reputation
KW  -  Trust
UR  - http://link.springer.com/chapter/10.1007%2F978-3-662-43813-8_15
A1  - Celestini, Alessandro
A1  - Lluch-Lafuente, Alberto
A1  - Mayer, Philip
A1  - Sebastio, Stefano
A1  - Tiezzi, Francesco
SN  - 978-3-662-43812-1
PB  - Springer
T3  - IFIP Advances in Information and Communication Technology
N2  - The popularity of the cloud computing paradigm is opening new opportunities for collaborative computing. In this paper we tackle a fundamental problem in open-ended cloud-based distributed computing platforms, i.e., the quest for potential collaborators. We assume that cloud participants are willing to share their computational resources for shared distributed computing problems, but they are not willing to disclose the details of their resources. Lacking such information, we advocate to rely on reputation scores obtained by evaluating the interactions among participants. More specifically, we propose a methodology to assess, at design time, the impact of different (reputation-based) collaborator selection strategies on the system performance. The evaluation is performed through statistical analysis on a volunteer cloud simulator.
SP  - 213
ID  - eprints2191
EP  - 220
T2  - Trust Management VIII. Proceedings of the 8th IFIP WG 11.11 International Conference, IFIPTM 2014, Singapore, July 7-10, 2014.
ER  -