Availability Optimization In Cloud-Based In-Memory Data Grids

This paper presents a Constraint Programming (CP)-based application for dynamic cache distribution in Oracle Coherence In-Memory Data Grid (IMDG). A re-sizable decomposition method using CP is developed to ensure high availability through incremental optimization of load distribution and data replication. The application highlights the flexibility and efficiency that the CP technology offers for (1) concisely capturing the multiple dynamic aspects and complex constraints of the Oracle Coherence IMDG cache distribution problem; and (2) solving large-scale problem instances in a dynamic cloud environment. Extensive computational results are presented to assess the scalability and efficiency of the proposed solution.