Matchmaking of IaaS cloud computing offers leveraging linked data
Maciej Zaremba, Sami Bhiri, Tomáš Vitvar, Manfred Hauswirth · 2013
Cloud Computing is an elastic execution environment becoming the dominating solution for scalable and on-demand computing, and a large market of cloud providers has recently emerged. IaaS is a realisation of the Cloud Computing at the level of processing, storage and networking resources. Currently, users lack a consolidated view of the IaaS market and it is time-consuming and cumbersome to identify the most suitable IaaS offers. IaaS services are highly configurable and their properties are often request-dependent and change dynamically. In this paper we introduce a service matchmaking approach for IaaS. We present models to define expressive search requests and IaaS descriptions which are grounded in lightweight semantic formalisms of RDF and SPARQL, and use Linked Data. Our approach supports dynamic generation of IaaS offers, and their filtering and ranking. We provide a proof-of-concept matchmaker operating on expressive search requests and descriptions of nineteen IaaS services including: Amazon EC2, Google Compute Engine, ElasticHosts, CloudSigma, and Joyent-Cloud.