Title
Mantus: Putting Aspects to Work for Flexible Multi-Cloud Deployment
Abstract
Cloud provider barriers still stand. After a decade of cloud computing, customers struggle to overcome the challenge of crossing multi-provider clouds to benefit from fine-grained resource distribution, business independence from CSPs and cost savings. Although increasingly popular, most adopted IaaS intercloud solutions are generally limited to specific public cloud providers or present maintainability issues. Remaining hurdles include complexity of management and operations of such infrastructures, in presence of per-customer customizations and provider configurations. The Infrastructure as Code (IaC) paradigm is emerging as key enabler for IaaS multi-clouds, to develop and manage infrastructure configurations. However, due to complexity of the infrastructure life-cycle, to heterogeneity of composing resources and to user-customizations, this approach is far from being viable. In this paper, we explore an aspect-oriented approach to IaC deployment and management. We propose Mantus, a IaC-based multi-cloud builder composed of an aspect-oriented Domain-Specific Language called TML, or TOSCA Manipulation Language, and a corresponding aspect weaver to inject flexibly non-functional services in TOSCA infrastructure templates. We show the practical feasibility of our approach, with also good results in terms of performance and scalability.
Year
DOI
Venue
2017
10.1109/CLOUD.2017.88
2017 IEEE 10th International Conference on Cloud Computing (CLOUD)
Keywords
Field
DocType
multi-cloud,infrastructure-as-code,aspect-oriented programming,weaving,TOSCA
Enabling,Software deployment,Resource distribution,Computer security,Interoperability,Computer science,Intercloud,Maintainability,Cloud computing,Scalability
Conference
ISSN
ISBN
Citations 
2159-6182
978-1-5386-1994-0
0
PageRank 
References 
Authors
0.34
12
5
Name
Order
Citations
PageRank
Alex Palesandro121.06
Marc Lacoste241.78
Nadia Bennani35613.91
Chirine Ghedira Guegan4118.03
Denis Bourge500.34