Software Defined Storage - Storage Management Analytics

The recent emergence of cloud technologies has provided an interesting business model for both customers and cloud providers. However, from a management standpoint, an important problem that remains unsolved in modern data centers is the workload optimization between storage, network and compute. As application diversity had grown up tremendously, future storage management would require provisioning efficiency, cost-effective, secure, easy to use interoperability across different products that have different demands from the underlying storage system. From Software-Defined Storage perspective, integrated approach to extend storage services from the storage systems would bring storage performance and costs in lockstep with the scaling of virtual infrastructure. The Software-Defined Data Center will provide automation, agility, flexibility, and efficiency to transform the delivery of IT. This talk provides highlights of OpenStack based IaaS with building blocks for these next generation data centers in an evolutionary way that are software controlled, high performing, highly available, flexible and scalable. This IaaS framework enables dynamic demand of highly virtualized workloads in a low cost on top of efficiently utilized commodity and/or specialized hardware. Advanced storage management analytics such as i)performance aware storage placement with device models ii) storage resiliency for disaster protection iii) storage tiering are some of the key features highlighted.

Learning Objectives

OpenStack based Software Defined Storage
Advanced Storage Management Analytics
Performance aware storage placement
Storage resiliency for disaster protection
Storage tiering - ILM