Isbn: 9783659890840 - a hand book on hadoop : real world approach for infinite scalability (7 resultados)

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this Exa byte scale era, data increases at an exponential rate. This is in turn generating a massive amount of metadata in the file system. Hadoop is the most widely used framework to deal with big data. Due to this growth of huge amount of metadata, however, the efficiency of Hadoop is questioned numerous times by many researchers. Therefore, it is essential to create an efficient and scalable metadata management for Hadoop. The book principally deals with the Single Point of Failure (SPOF) of Hadoop by providing a suitable distributed metadata management. This book presents a circular Metadata management mechanism named Dynamic Circular Metadata Splitting (DCMS). DCMS preserves metadata locality using consistent hashing as well as locality-preserving hashing, keeps replicated metadata for excellent reliability, as well as dynamically distributes metadata among the NameNodes to keep load balancing. DCMS removes Hadoop's SPOF as well as provides an efficient and scalable metadata management. This book demonstrates the various experiments with DCMS, and shows how the new framework is an improved solution compared to the existing one, both mathematically and theoretically. 84 pp. Englisch.…

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dev DipayanDipayan Dev is adept in big data, cloud computing and especially in Hadoop framework. He has completed his M.Tech from National Institute of Technology Silchar, and now working as software professional in Bangalore, India. …

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this Exa byte scale era, data increases at an exponential rate. This is in turn generating a massive amount of metadata in the file system. Hadoop is the most widely used framework to deal with big data. Due to this growth of huge amount of metadata, however, the efficiency of Hadoop is questioned numerous times by many researchers. Therefore, it is essential to create an efficient and scalable metadata management for Hadoop. The book principally deals with the Single Point of Failure (SPOF) of Hadoop by providing a suitable distributed metadata management. This book presents a circular Metadata management mechanism named Dynamic Circular Metadata Splitting (DCMS). DCMS preserves metadata locality using consistent hashing as well as locality-preserving hashing, keeps replicated metadata for excellent reliability, as well as dynamically distributes metadata among the NameNodes to keep load balancing. DCMS removes Hadoop's SPOF as well as provides an efficient and scalable metadata management. This book demonstrates the various experiments with DCMS, and shows how the new framework is an improved solution compared to the existing one, both mathematically and theoretically.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. …

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this Exa byte scale era, data increases at an exponential rate. This is in turn generating a massive amount of metadata in the file system. Hadoop is the most widely used framework to deal with big data. Due to this growth of huge amount of metadata, however, the efficiency of Hadoop is questioned numerous times by many researchers. Therefore, it is essential to create an efficient and scalable metadata management for Hadoop. The book principally deals with the Single Point of Failure (SPOF) of Hadoop by providing a suitable distributed metadata management. This book presents a circular Metadata management mechanism named Dynamic Circular Metadata Splitting (DCMS). DCMS preserves metadata locality using consistent hashing as well as locality-preserving hashing, keeps replicated metadata for excellent reliability, as well as dynamically distributes metadata among the NameNodes to keep load balancing. DCMS removes Hadoop's SPOF as well as provides an efficient and scalable metadata management. This book demonstrates the various experiments with DCMS, and shows how the new framework is an improved solution compared to the existing one, both mathematically and theoretically. …