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Lecture Notes

UNIT 1:
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Introduction to Distributed Systems
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Trends in Distributed Systems
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Focus on resource sharing
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Challenges - Heterogeneity,Openness,Security,Scalability
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Challenges - Failure handling,Concurrency,Transparency, Quality of service
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Case study: World Wide Web - HTML,URLs,HTTP
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Case study: World Wide Web - Dynamic pages,Web services,Discussion of the Web
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A model of distributed computations
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Logical Time
UNIT 2:
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Message ordering and group communication: Message ordering paradigms
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Message ordering and group communication: Message ordering paradigms
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Asynchronous execution with synchronous communication
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Synchronous program order on an asynchronous system
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Group communication – Causal order (CO) – Total order
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Group communication – Causal order (CO) – Total order
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Global state and snapshot recording algorithms: Introduction –System model and definitions
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Snapshot algorithms for FIFO channels
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Global state and snapshot recording algorithms: Introduction –System model and definitions
UNIT 3:
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Distributed mutual exclusion algorithms
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Lamport‘s algorithm
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Ricart-Agrawala
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Maekawa‘s algorithm
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Deadlock detection in distributed system
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Deadlock detection in distributed systems
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Knapp‘s classification
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Knapp‘s algorithm
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Knapp‘s algorithm
UNIT 4:
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Checkpointing and rollback recovery
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Issues in failure recovery
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Issues in failure recovery
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Algorithm for asynchronous checkpointing and recovery
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Algorithm for asynchronous checkpointing and recovery
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Consensus and agreement algorithms
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Consensus and agreement algorithms
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Asynchronous Renaming
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Read-Modify-Write (MRW) Abstraction
UNIT 5:
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Peer-to-peer computing and overlay graphs
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Peer-to-peer computing and overlay graphs
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Chord
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Content addressable networks
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Distributed shared memory
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Memory consistency
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Memory consistency
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Shared memory Mutual Exclusion
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Shared memory Mutual Exclusion