Software-Defined Memory (SDM) is an emerging architecture paradigm that provides software abstraction between applications and underlying memory resources with dynamic memory provisioning to achieve the desired SLA. With emergence of newer memory technologies and faster interconnects, it is possible to optimize memory resources deployed in cloud infrastructure while achieving best possible TCO. SDM provides a mechanism to pool disjoint memory domains into a unified memory namespace.

The Open Data Framework (ODF) unifies data and storage management from the core, to cloud and to edge. In this talk, we will show how ODF simplifies Kubernetes storage management, provides data protection for applications, and connect data on-prem to clouds. We will also be introducing how ODF can be extended with other SODA projects such as DAOS - a distributed asynchronous object storage for HPC, ZENKO - a multicloud data controller with search functionality, CORTX - an object storage optimized for mass capacity storage and others (YIG, LINSTOR, OpenEBS).

Traditional Storage Node consists of Compute, Networking and Storage elements. In this case, the entire node is a single failure domain and as such both data and meta data are maintained in storage. Emergence of CXL allows us to re-think the traditional storage node architecture. In future, the storage (behind CXL IO) and metadata memory (behind a CXL memory) can be disaggregated locally or across a bunch of storage nodes to improve the availability of the data. Further, memory persistence can be achieved at a granular level using CXL memory devices.