Partitioning and mapping workloads for scalable SaaS applications on cloud
A system for migrating a non-tenant-aware local application to a tenant-aware cloud application environment is disclosed to migrate individual modules of the application to instances of the cloud by grouping the modules via common characteristics in partition groups. By grouping modules together by partition group before migrating the modules to cloud instances, modules that share resources can be placed in closer logical proximity to one another in the cloud to optimize performance.
1. A system for configuring workloads, comprising:
a scanning engine configured to identify workloads of a non-tenant-aware application and a set of application characteristics for each of the identified workloads using workload rules in a workload partitioner rules database defined by an administrator user;
a partitioning engine configured to group the workloads to a smaller set of partitions as a function of common characteristics of workloads in a partition using partition rules in a partition mapper rules database defined by an administrator user;
a mapping engine configured to assign each partition of the workloads to a set of cloud resources as a function of a partition application characteristic and a characteristic of the set of cloud resources, wherein each partition is assigned to a discrete cloud resource using partition rules in the partition mapper rules database as applied to a cloud resource database defined by an administrator user; and
a rendering engine that constructs a migration plan to migrate each of the workloads to the set of cloud resources in accordance with the assigned partitions from the mapping engine;
wherein the scanning engine, the partitioning engine, the mapping engine, and the rendering engine comprise stored program instructions embedded in a non-transitory computer readable storage medium, and
wherein the stored program instructions are executed by a computer processor to execute a function.
2. The system of claim 1 wherein is the set of application characteristics is selected from the group consisting of software components, software dependencies, hardware dependencies, and application environment contexts.
3. The system of claim 2 wherein the set of application characteristics is selected from the group consisting of hardware characteristics, software characteristics, and network characteristics.
4. The system of claim 1 wherein the characteristic of the set of cloud resources is selected from the group consisting of hardware characteristics, software characteristics, and network characteristics.
5. The system of claim 1 further comprising a map database informationally coupled to the mapping engine.
6. The system of claim 1 further comprising an analysis engine configured to rank the maps based on a set of rules.