A modeling approach for cloud infrastructure planning considering dependability and cost requirements
- 1. A Modeling Approach for Cloud Infrastructure Planning Considering Dependability and Cost Requirements Abstract: Cloud computing is a model in which resources such as storage, applications, and networking infrastructures can be offered as services over the internet. Cloud applications are becoming even bigger and more complex with a high availability requirement. This paper presents a modeling strategy based on a hierarchical and heterogeneous modeling for cloud infrastructure planning. This modeling strategy allows the selection of cloud infrastructures according to dependability and cost requirements. Additionally, a stochastic model generator for cloud infrastructure planning provides automatic generation of dependability and cost models for representing cloud infrastructures. A case study based on Moodle hosted on a Eucalyptus platform is adopted to demonstrate the feasibility of the proposed solution (modeling strategy and tooling). Existing System: This high availability can be provided through the allocation of different redundancy mechanisms to components of the cloud infrastructures. As a consequence, a major issue is related to the suggestion of a feasible IT infrastructure according to dependability and cost requirements.
- 2. Dependability and cost modeling have been widely adopted as an essential activity for improving infrastructure planning and reducing the services cost stochastic simulation. The former captures conditions that make a system fail (or to be working) in terms of structural relationships between the system components. The latter corresponds to the system behavior (failures and repair activities) by its states and event occurrence expressed as labeled state transitions. Labels can be probabilities, rates or distribution functions. The cost model is an equation that provides the costs of different redundancy modules assigned to components of the cloud infrastructures. Proposed System: The major contribution of this paper is a modeling strategy based on a hierarchical and heterogeneous modeling for cloud infrastructure planning. Other important contribution are models based on state-space models such as SPN and combinatorial models such as RBD for representing cloud applications. These heterogeneous models are hierarchically combined to depict the dependencies between components of the cloud infrastructure. The modeling approach allows the evaluation of cloud infrastructures with different redundancy mechanisms concerning dependability and cost requirements. Then, as further contribution, the modeling strategy allows for the selection of cloud infrastructures according to this evaluation. The last contribution is the stochastic model generator for cloud infrastructure planning (SMG4CIP), that implements the modeling strategy. Hardware Requirements: • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB.
- 3. • Floppy Drive : 1.44 Mb. • Monitor : 15 VGA Colour. • Mouse : Logitech. • RAM : 256 Mb. Software Requirements: • Operating system : - Windows XP. • Front End : - JSP • Back End : - SQL Server Software Requirements: • Operating system : - Windows XP. • Front End : - .Net • Back End : - SQL Server