M.Tech II Year I Semester (R19)
To introduce concepts related to distributed computing systems. To focus on performance and flexibility issues related to systems design decisions To expose students to current literature in distributed systems. To prepare students for an real world distributed application design.
Recognize the inherent difficulties that arise due to distributedness of computing resources. Understanding of networks & protocols, mobile & wireless computing and their applications to real world problems. understand basic problems in distributed computing, especially in relation to concurrency, parallelism, synchronization, deadlocks, safety and liveness properties. understand differences between various distributed computing models and widely used distributed computing schemes.
Introduction: The different forms of computing, The strengths and weaknesses of Distributed computing, Operating system concepts relevant to distributed computing, the architecture of distributed applications. Paradigms for Distributed Applications, choosing a Paradigm for an application (trade-offs).
Cluster Computing: Parallel computing overview, cluster computing – Introduction, Cluster Architecture, parallel programming models and Paradigms, Applications of Clusters.
Grid Computing: Introduction, Grid Computing Anatomy – Architecture, Architecture and relationship to other Distributed Technologies, Grid computing road map. Merging the Grid services Architecture with the Web Services Architecture.
Open Grid Service Architecture –Introduction, Architecture and Goal, Sample Use cases: Commercial Data Center, National Fusion Collaboratory, Online Media and Entertainment. OGSA platform Components, Open Grid Services Infrastructure.
Globus GT 3 Toolkit –Architecture, Programming Model, A sample implementation, High Level services, OGSI.NET Middleware Solutions.
Grid Computing, Joshy Joseph & Craig Fellenstein, Pearson education, 2004 Distributed Computing, Principles and Applications, M.L.Liu, Pearson Education, 2004 High Performance Cluster Computing, Rajkumar Buyya, Pearson education.
Grid Computing – Making the global infrastructure a reality, Fran Berman, Geoffrey C Fox, Anthony J G Hey, Wiley India, 2010. A Networking Approach to Grid Computing, D. Minoli, Wiley & sons, 2006. Grid Computing: A Practical Guide to Technology and Applications, A.Abbas, Firewall Media, 2008. M.Tech. (Data Science) II Year I Semester
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