A SMI-S Recipe Interpreter is provided in the presentation. SMI-S standard uses the Recipe describe typical sample operation to the profile. As parts of the certificate compliance tests any SMI-S implementation need pass the recipe validation. Today’s validation tools like CPT require manually coding the recipe logical into JAVA to implement the test. In the presentation, a recipe interpreter is provided which can understand and generate validation points from Recipe directly. The method can make the recipe tests more effective and efficient.

Storage resource management tools are now maturing and becoming more of a “must have” capability. However, a broad range of products, each with many different options now confront the potential buyer. Therefore, using the Request for Information (RFI) and Request for Proposal (RFP) processes to differentiate the vendors and their offerings is highly recommended. This tutorial starts with some RFP basics, then moves to a discussion of the important things to look for in storage management applications. It will also include an elucidation of the various standards at play including SMI-S.

Storage resource management tools are now maturing and becoming more of a “must have” capability. However, a broad range of products, each with many different options now confront the potential buyer. Therefore, using the Request for Information (RFI) and Request for Proposal (RFP) processes to differentiate the vendors and their offerings is highly recommended. This tutorial starts with some RFP basics, then moves to a discussion of the important things to look for in storage management applications. It will also include an elucidation of the various standards at play including SMI-S.

The runaway success of Virtualization lay in software driven provisioning the pooled resources to optimally meet the workload requirements for an efficient data center. Software defined Datacenter takes the next step of driving storage services of data protection and storage efficiencies techniques such as encryption, Compression, Snapshots, Deduplication, Auto-tiering etc. to become an efficiently integrated and dynamically active system and not merely a passive keeper of data.

Learning Objectives

Storage Quality of Service (QoS) is an increasingly critical aspect of modern datacenter workloads, such as virtualization and cloud deployments. Storage resources are in high demand, and highly scaled and deeply layered contention presents many interrelated challenges, all of which must be addressed to meet service level agreements, and to provide predictable response.

Best Practices for Simple, Effective Storage Management. When your responsibilities as a hands-on IT professional span multiple layers of data center infrastructure and critical applications, the last thing you need is to be constantly tied up in the often precarious act of manual storage performance, capacity and data protection management.

Thin provisioning has proven so useful in improving storage utilization that most storage vendors offer the capability in some form. But every storage vendor manages “thin” LUNs differently. Thus, it becomes the responsibility of host-based applications to manage “thin” LUNs, and in particular, to detect unused storage capacity and reclaim it for deployment elsewhere. This presentation describes a host-based file system and volume manager that cooperate to detect space unused by file systems and reclaim it transparently to applications using the storage.

As per the generic definition Virtual Desktop Infrastructure, or VDI, refers to the process of running a user desktop inside a virtual machine that lives on a server in the datacenter. VDI offered benefits manageability, performance, and security. Different Hypervisor allowed multiple user desktops to run as separate virtual machines while sharing underlying physical hardware resources such as CPU, memory, networking and storage.

Summary: The SNIA defines tiered storage as “storage that is physically partitioned into multiple distinct classes based on price, performance or other attributes.” Physical tiering of storage has been a common practice for decades.

The SNIA defines tiered storage as “storage that is physically partitioned into multiple distinct classes based on price, performance or other attributes.” Although physical tiering of storage has been a common practice for decades, new interest in automated tiering has arisen due to increased availability of techniques that automatically promote “hot” data to high performance storage tiers – and demote “stale” data to low-cost tiers. Topics will include: • Fundamentals of Storage Tiering • Levels of granularity in tiering • Achieving optimal placement of data.