Storage Technologies detailed syllabus for Artificial Intelligence & Machine Learning (AI&ML) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&ML students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Artificial Intelligence & Machine Learning 6th Sem scheme and its subjects, do visit AI&ML 6th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to AI&ML Professional Elective-III syllabus scheme. The detailed syllabus of storage technologies is as follows.
Course Objectives:
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Unit I
STORAGE SYSTEMS
Introduction to Information Storage: Digital data and its types, Information storage, Key characteristics of data center and Evolution of computing platforms. Information Lifecycle Management. Third Platform Technologies: Cloud computing and its essential characteristics, Cloud services and cloud deployment models, Big data analytics, Social networking and mobile computing, Characteristics of third platform infrastructure and Imperatives for third platform
transformation. Data Center Environment: Building blocks of a data center, Compute systems and compute virtualization and Software-defined data center.
Unit II
INTELLIGENT STORAGE SYSTEMS AND RAID
Components of an intelligent storage system, Components, addressing, and performance of hard disk drives and solid-state drives, RAID, Types of intelligent storage systems, Scale-up and scale-out storage Architecture.
Unit III
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Unit IV
BACKUP, ARCHIVE AND REPLICATION
Introduction to Business Continuity, Backup architecture, Backup targets and methods, Data deduplication, Cloud-based and mobile device backup, Data archive, Uses of replication and its characteristics, Compute based, storage-based, and network-based replication, Data migration, Disaster Recovery as a Service (DRaaS).
Unit V
SECURING STORAGE INFRASTRUCTURE
Information security goals, Storage security domains, Threats to a storage infrastructure, Security controls to protect a storage infrastructure, Governance, risk, and compliance, Storage infrastructure management functions, Storage infrastructure management processes.
Course Outcomes:
- Demonstrate the fundamentals of information storage management and various models of Cloud infrastructure services and deployment
- Illustrate the usage of advanced intelligent storage systems and RAID
- Interpret various storage networking architectures – SAN, including storage subsystems and virtualization
- Examine the different role in providing disaster recovery and remote replication technologies CO5: Infer the security needs and security measures to be employed in information storage management
Text Books:
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For detailed syllabus of all the other subjects of Artificial Intelligence & Machine Learning 6th Sem, visit AI&ML 6th Sem subject syllabuses for 2021 regulation.
For all Artificial Intelligence & Machine Learning results, visit Anna University AI&ML all semester results direct link.