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Storage and Storage ManagementMaterial on this page is intended solely for the purpose of content review by SNIA members. Tutorial material may be read and commented upon by any SNIA member, but may not be saved, printed, or otherwise copied, nor may it be shared with non-members of the SNIA. Tutorial managers are responsible for responding to all comments made during the open review period. No responses will be given to comments made outside the open review period. Jump straight to an abstract:
The Abstracts
Understanding High Availability in the SAN This session will appeal to those seeking a fundamental understanding of High Availability (HA) configurations in the SAN. Modern SANs have developed numerous methods using hardware and software to assure high availability of storage to customers. The session will explore basic concepts of HA; move through a sample configuration from end-to-end; investigate HA and virtualization, converged networks and the cloud; and discuss some of the challenges and pitfalls faced in testing HA configurations. Real customer experiences will be shared to drive it all home!
Storage Performance Management This session will appeal to Storage Managers, Performance and Capacity Managers, and those that are seeking a fundamental understanding of storage performance management. This session includes an overview of the processes, technology and skills required to implement SPM, as well as an overview of disk storage system architecture, and the SMI-S specification as it relates to block level performance. The focus is on block level storage systems. Learning Objectives
What's Old is New Again - Storage Tiering 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. Learning Objectives
NextGen Infrastructure for Big Data The internet has spawned an explosion in data growth in the form of data sets, called Big Data, that are so large they are difficult to store, manage and analyze using traditional RDBMS which are tuned for Online Transaction Processing (OLTP) only. Not only is this new data heavily unstructured, voluminous and streams rapidly and difficult to harness but even more importantly, the infrastructure cost of HW and SW required to crunch it using traditional RDBMS, to derive any analytics or business intelligence online (OLAP) from it, is prohibitive. To capitalize on the Big Data trend, a new breed of Big Data technologies (such as Hadoop and others) many companies have emerged which are leveraging new parallelized processing, commodity hardware, open source software and tools to capture and analyze these new data sets and provide a price/performance that is 10 times better than existing Database/Data Warehousing/Business Intelligence Systems. Learning Objectives
Writing Storage RFPs in 2012 The data storage industry has changed dramatically over the past few years. The traditional Request for Proposal (RFP) does not address these changes or the challenges faced by IT organizations. Therefore, a new way of defining storage requirements to leverage this evolving technology is needed. This tutorial defines the “must-have” criteria that should be included in any data storage RFP in the current era. Performance, scalability, and resiliency are given; but new challenges will arise around server and desk top virtualization, power consumption, space requirements, and overall cost containment. Accommodations for developing technologies must be designed into the RFP. Attendees of this session will receive an RFP template designed specifically to take advantage of current storage and IT technologies. Learning Objectives
SAS: The Emerging Storage Fabric For building and maintaining enterprise storage, Serial Attached SCSI (SAS) has long served as the foundation by providing a serviceable slot architecture which contributes to high availability, high reliability and a high degree of serviceability and usability. Due to the forward and backward compatible nature of the technology, SAS preserves the logical SCSI command set which most enterprise middleware is derived from. That’s particularly significant for CIOs and IT managers in terms of investment protection. It also helps to sustain a rich legacy of device types and data formats by providing an important element of continuity within the enterprise. It becomes especially important when realigning an information technology center to adapt to the dynamic needs of today’s emerging storage needs. Despite the changing requirements of new platforms, SAS maintains a flexible architecture that can expand and grow over time while continuing to protect the industry’s legacy storage investments. Learning Objectives
Operating System Storage Performance Analysis A discussion on factors that affect operating system (OS) performance, as it relates to storage. Included will be some basics on storage technologies, and recommendations to help troubleshoot and improve OS performance. Learning Objectives
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