Abstract
Current cloud solutions are fraught with problems. They introduce a monolithic cloud stack that imposes vendor lock-in and donot permit developers to mix and match services freely from diverse cloud service tiers and configure them dynamically to address application needs.
Cloud blueprinting is a novel model-driven approach that allows developers syndicate, configure, and deploy virtual service-based application payloads on virtual machine and resource pools in the cloud. Cloud blueprinting helps developers automatically provision services, effectively manage workload segmentation and portability (i.e., the seamless movement of workloads across many platforms and clouds), and manage virtual service instances, all while taking into account the availability of cloud resources and accelerating the deployment of new composed cloud services. Cloud blueprinting equips developers with a unified approach that allows them configure cloud applications by pooling appropriate resources at any layer of the cloud stack - irrespectively whether these are provided from multiple cloud providers.
Cloud blueprinting is a novel model-driven approach that allows developers syndicate, configure, and deploy virtual service-based application payloads on virtual machine and resource pools in the cloud. Cloud blueprinting helps developers automatically provision services, effectively manage workload segmentation and portability (i.e., the seamless movement of workloads across many platforms and clouds), and manage virtual service instances, all while taking into account the availability of cloud resources and accelerating the deployment of new composed cloud services. Cloud blueprinting equips developers with a unified approach that allows them configure cloud applications by pooling appropriate resources at any layer of the cloud stack - irrespectively whether these are provided from multiple cloud providers.
| Original language | English |
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| Title of host publication | Proceedings of the 2nd International Conference on Model & Data Engineering (MEDI 2012) |
| Editors | A. Abello, L. Bellatreche, B. Benatallah |
| Place of Publication | Berlin Heidelberg |
| Publisher | Springer Verlag |
| Pages | 1 |
| Volume | 7602 |
| ISBN (Print) | 9783642336089 |
| Publication status | Published - 2012 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Volume | 7602 |