Distributed Computing for SPPU 20 Course (BE - SEM- VIII - AI&DS - 417531)
(Paperback)
I.A. DHOTRE,
Techincal Publications, Pune (Publisher)
Published
2024
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I.A. DHOTRE,
Techincal Publications, Pune (Publisher)
Ships within 2-4 days
Out Of Stock
Unit I Introduction to Distributed Computing Fundamentals of distributed computing : Characteristics of Distributed Systems : Issues, Goals and Types of distributed systems, Distributed System Models. Introduction to Artificial Intelligence and Data Science in distributed computing : Distributing computational tasks, handling large volumes of data and leveraging parallel processing capabilities, issues related to data storage and retrieval, data consistency, communication overhead, synchronization and fault tolerance. Use cases and applications of integrating AI and data science in distributed systems : Predictive Maintenance, Fraud Detection, Intelligent Transportation Systems, Supply Chain Optimization, Energy Management, Healthcare and Medical Diagnostics, Customer Behavior Analysis and Natural Language Processing (NLP). (Chapter - 1) Unit II Distributed Data Management and Storage Overview of Distributed Computing Frameworks and Technologies Parallel Computing, Distributed Computing Models, Message Passing, Distributed File Systems : Hadoop Distributed File System (HDFS) and Google File System (GFS), Cluster Computing : (AWS), Microsoft Azure and Google Cloud Platform (GCP), Message Brokers and Stream Processing, Edge Computing. Data Replication and Consistency Model : Eager Replication, Lazy Replication, Quorum-Based Replication, Consensus-Based Replication, Selective Replication, Strong Consistency, Eventual Consistency, Read-your-writes Consistency, Consistent Prefix Consistency, Causal Consistency. Distributed data indexing and retrieval techniques : Distributed Hash Tables (DHTs), Distributed Inverted Indexing, Range-based Partitioning, Content-based Indexing, Peer-to-Peer (P2P) Indexing, Hybrid Approaches. (Chapter - 2) Unit III Distributed Computing Algorithms Distributed Computing Algorithms : Communication and coordination in distributed systems Distributed consensus algorithms (Other consensus algorithms â— Viewstamped Replication â— RAFT
