Cloud services modelling and performance analysis framework M24


This document is associated to three prototypes delivered in Work Package 7 at the end of the second year of the project. The prototypes aim at providing a modelling and performance analysis framework to support the creation of cloud models and to measure performance or availability aspects of cloud services. Implementation and usage instructions details are included in this document.

The first prototype is a meta-model that will be used as baseline for creating models of cloud models (Section 2). The meta-model defines the concepts and relationships that describe the main capabilities of resources offered by cloud platforms. The meta-model is realized as an extension to the UML meta-model. Therefore, it has been realized in terms of a profile / collection of profiles regarding specific aspects (e.g. Availability concepts –Appendix B, Performance Concepts, Appendix C etc.). Profiles created starting from this meta-model (Appendix F) will be used in ARTIST during the migration of an application in order to select the target platform that matches best the requirements and functionalities needed by the re-engineered application.

The second prototype consists of a software suite for benchmarking cloud resources in order to extract performance-related data and to include it in the cloud models. Since performance aspects are considered as key criteria that are taken into consideration in the selection of the target platform, the availability of this data in the cloud models simplifies and makes more accurate the migration phase. The software suite includes an installation, configuration and execution tool, incorporating a set of third-party benchmarking tools specifically selected for their effectiveness in evaluating cloud resources performances, a database for the data storage and a user interface to automate the management of executions and results of tests.

The third prototype consists of an abstracted software library for the measurements of availability of services regardless of the supported provider on which they are deployed. The library may measure availability based on the respective providers SLA definitions and thus conclude for potential SLA violations, including also the evidence of this violation. It can also provide recommendations as to whether a specific service instance is viable for an SLA based on the provider’s preconditions.

The Y2 version of the prototypes will be further developed and new versions will be released during the third year of the project.