Course description

 Impact of Regulations: existing and new;Technology:Storage components - Data organization: File vs. Block, Object; Data store; Searchable models - Storage Devices (including fixed content storage devices) - File Systems - Volume Managers - RAID systems - Caches, Prefetching;Network components:Connectivity: switches, directors, highly available systems - Fibre Channel - 1GE/10GE, Metro-ethernet - Aggregation - Infiniband;Error Management:Disk Error Mgmt - RAID Error Mgmt - Distr Systems Error Mgmt;Highly available and Disaster-tolerant designs:Ordered writes, Soft updates and Transactions - 2 phase, 3 phase, Paxos commit protocols - Impossibility Results from Distributed Systems - Choose 2 of 3: Availability, Consistency and Partition Tolerance;Layering and Interfaces in Storage Protocols:eg. SCSI 1/2/3SNIA model;SAN Components:Fibre Channel - IP-based Storage (iSCSI, FCIP, etc.) - Examples - NAS - NFS - CIFS - DAFS;Large Storage Systems:Google FS/BigTable - Cloud/Web-based systems (Amazon S3) - FS+DB convergence - Programming models: Hadoop;Archival Systems:Content addressable storage - Backup: serverless, LAN free, LAN Replication issues - Storage Security - Storage Management - Device Management - NAS Management - Virtualization - Virtualization solutions - SAN Management - Storage Provisioning - Storage Migration - SRM

What will i learn?

Requirements

skill expert

Free

Lectures

43

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes

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Memory Systems

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Overview In this course, we first provide a comprehensive overview of memory systems, taking an approach that covers both fundamentals and recent research. We first introduce fundamental principles and ideas, covering DRAM and emerging memory technologies as well as many architectural concepts and ideas related to memory organization, memory control, processing-in-memory, and memory latency / energy / bandwidth / reliability / security / QoS. We discuss major challenges facing modern memory systems (and the computing platforms we currently design around the memory system) in the presence of greatly increasing demand for data and its fast analysis. We examine some promising research and design directions to overcome these challenges. On the research-related part of course (sprinkled across topical lectures), we discuss the following key research topics in detail, focusing on both open problems and potential solution directions: Fundamental issues in memory reliability and security and how to enable fundamentally secure, reliable, safe architectures Enabling data-centric and hence fundamentally energy-efficient architectures that are capable of performing computation near data Reducing both latency and energy consumption by tackling the fixed-latency/energy mindset Enabling emerging memory technologies Enabling predictable and QoS-aware memory systems Research challenges and opportunities in enabling emerging NVM (non-volatile memory) technologies Scaling NAND flash memory and SSDs (solid state drives) into the future

Free

22:36:25 Hours