John A. Leong – författare
Visar alla böcker från författaren John A. Leong. Handla med fri frakt och snabb leverans.
5 produkter
Large Scale Data Analytics
Av Chung Yik Cho, Rong Kun Jason Tan m. fl.
Inbunden, 2019
1093 kr
Lägg i varukorg
This book presents a language integrated query framework for big data. The continuous, rapid growth of data information to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query information from large scale data sources …
Large Scale Data Analytics
Av Amandeep S. Sidhu, John A. Leong m. fl.
E-bok, 2019
1427 kr
Lägg i varukorg
This book presents a language integrated query framework for big data. The continuous, rapid growth of data information to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query information from large scale data sources …
Optimized Cloud Based Scheduling
Av Rong Kun Jason Tan, John A. Leong m. fl.
Häftad, 2019
566 kr
Lägg i varukorg
This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new …
Optimized Cloud Based Scheduling
Av Rong Kun Jason Tan, John A. Leong m. fl.
Inbunden, 2018
566 kr
Lägg i varukorg
This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new …
Optimized Cloud Based Scheduling
Av Amandeep S. Sidhu, John A. Leong m. fl.
E-bok, 2018
739 kr
Lägg i varukorg
This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new …
