Abstract

The cloud computing paradigm requires solutions supporting customers in the selection of services that satisfy their functional and non-functional requirements. These solutions must i) support the dynamic, multi-cloud nature of service provisioning, ii) manage scenarios where no total preference relation over service properties is available, and iii) prevent providers from misrepresenting or overstating their properties. In this paper we put forward the idea of modeling multi-cloud provisioning scenarios as procurement e-auctions (where the auctioneer is the customer and the bidders are service providers). We introduce a service selection process based on matching and ranking algorithms, and an e-auction mechanism that addresses the above requirements, encouraging trustworthy bids and therefore improving the truthfulness on the e-auction outcome. Finally we describe the implementation of a prototype used to evaluate the performance of our approach with respect to traditional query-based engines.

Keywords:
Computer science Provisioning Cloud computing Service (business) Ranking (information retrieval) Service provider Combinatorial auction Matching (statistics) Common value auction Database Computer network Business Information retrieval

Metrics

23
Cited By
4.78
FWCI (Field Weighted Citation Impact)
24
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed systems and fault tolerance
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Data Quality and Management
Social Sciences →  Decision Sciences →  Management Science and Operations Research
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