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Data Storage Systems: A Survey

Data Storage Systems: A Survey. Abdullah Aldhamin July 29, 2013. CMPT 880: Large-Scale Multimedia Systems and Cloud Computing Course Project. Motivation. Research interest in storage systems, specifically in SSDs. Outline. Objective Overview Solid-State Drives Use Cases. Objective.

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Data Storage Systems: A Survey

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  1. Data Storage Systems: A Survey Abdullah Aldhamin July 29, 2013 CMPT 880: Large-Scale Multimedia Systems and Cloud Computing Course Project

  2. Motivation • Research interest in storage systems, specifically in SSDs

  3. Outline • Objective • Overview • Solid-State Drives Use Cases

  4. Objective • Storage system architectures in enterprise data centers. • What is cloud storage? • Integrating flash-based solid-state drives in large-scale storage systems.

  5. Overview • Different storage architectures in data centers: • Block I/O interface (DAS and SAN) • File I/O interface (NAS) • Is there a “better” solution? • Shortcomings for today’s computing…

  6. Overview • Cloud Storage: • What is cloud storage? • Object-based storage • Example: Windows Azure Storage (WAS) • Some research problems

  7. Overview • Flash-based solid state drive: • What is it? • Pros and Cons. • How can we integrate it in large-scale storage systems? • Future direction

  8. Integrating SSDs in Large-Scale Storage Systems • Considerations and Facts: • Non-uniform read access latencies, correlated with workload access pattern • Internal drive-specific operations impacts the performance • Internal fragmentation leads to performance degradation • More writes  write amplification  bad wear leveling • Performance vs. Lifetime vs. Cost

  9. Integrating SSDs in Large-Scale Storage Systems

  10. Gordon: SSD-only HPC Cluster • The first HPC cluster designed with SSD-only storage • Optimized to utilize SSDs high bandwidth, for data-intensive applications

  11. Gordon … (Cont’d) • Design goals: • Reduce performance gap between processor and I/O in large-scale data-intensive computing • Improve the system performance • Less power

  12. Gordon… (Cont’d) • How SSD is integrated? • Replaced conventional hard disks with SSDs • Major device-level modification: New flash translation layer

  13. Gordon… (Cont’d) • Costly $$$ • Not suitable for widespread adoption • Requires major device level modification • Optimized for specific workloads

  14. Hybrid: Griffin • Griffin hybrid storage system • SSD is an end-point store for the data • Uses HDDs as write-back buffers • Log-structured HDDs to buffer incoming writes • Extends SSD lifetime

  15. Hybrid: Hystor • Hybrid storage system • SSD is used to improve I/O performance • Read cache • Write-back buffer • Challenge: • What data to should be cached to gain from SSD performance and improve performance? • Minimum system changes.

  16. Conclusion • The choice of I/O interface allows for different storage access features • Cloud storage continues to grow to accommodate for the overflowing of data collected • Solid state drive has become an instrumental player in storage systems: but how can we best use it?

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