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Due to the growing demand for Cloud Computing services, the need and importance of Distributed Systems cannot be underestimated. However, it is dificult to use the traditional Message Passing Interface (MPI) approach to implement synchronization, coordination, and prevent deadlocks in distributed systems. This difficulty is lessened by the use of Apache's Hadoop/MapReduce and Zookeeper to provide Fault Tolerance in a Homogeneously Distributed Hardware/Software environment. In this book, a mathematical model for the availability of the JobTracker in Hadoop/MapReduce using Zookeeper's Leader…mehr

Produktbeschreibung
Due to the growing demand for Cloud Computing services, the need and importance of Distributed Systems cannot be underestimated. However, it is dificult to use the traditional Message Passing Interface (MPI) approach to implement synchronization, coordination, and prevent deadlocks in distributed systems. This difficulty is lessened by the use of Apache's Hadoop/MapReduce and Zookeeper to provide Fault Tolerance in a Homogeneously Distributed Hardware/Software environment. In this book, a mathematical model for the availability of the JobTracker in Hadoop/MapReduce using Zookeeper's Leader Election Service is examined. Though the availability is less than what is expected in a k Fault Tolerance system, this approach makes coordination/synchronization easy, reduces the effect of Byzantine faults, and provides scalability for distributed applications.
Autorenporträt
Mensah Kwabena Patrick received an Higher National Diploma in Electrical/Electronic Engineering from Sunyani Polytechnic in 2001. He went for his Bachelor of Science in Computer Science from the University for Development Studies in 2009. He received his Master of Science degree from the African University of Science and Technology, Abuja, in 2011.