Detecting cloud (anti)patterns: OCCI perspective - Archive ouverte HAL
Communication Dans Un Congrès Année : 2016

Detecting cloud (anti)patterns: OCCI perspective

Résumé

Open Cloud Computing Interface (OCCI) follows a set of guidelines (i.e. best practices) to create interoperable APIs over Cloud resources. In this paper, we identify a set of patterns that must be followed and anti-patterns that should be avoided to comply with the OCCI guidelines. To automatically detect (anti)patterns, we propose a Semantic-based approach, relying on SWRL (Semantic Web Rule Language) rules and in SQWRL (Semantic Query-Enhanced Web Rule Language) queries to describe the (anti)patterns symptoms. An evaluation, conducted on real world Cloud service APIs, shows the feasibility of the proposed approach by assessing their compliance to OCCI standard
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Dates et versions

hal-01455521 , version 1 (03-02-2017)

Identifiants

Citer

Hayet Brabra, Achraf Mtibaa, Layth Sliman, Walid Gaaloul, Faiez Gargouri, et al.. Detecting cloud (anti)patterns: OCCI perspective. ICSOC 2016 : 14th International Conference on Service-Oriented Computing, Oct 2016, Banff, Canada. pp.202 - 218, ⟨10.1007/978-3-319-46295-0_13⟩. ⟨hal-01455521⟩
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