TY  - GEN
N2  - This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
AB  - This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
T1  - Multimedia Big Data Computing for IoT Applications :Concepts, Paradigms and Solutions /
AU  - Tanwar, Sudeep.
AU  - Tyagi, Sudhanshu.
AU  - Kumar, Neeraj.
ET  - 1st ed. 2020.
VL  - 163
CN  - QA76.9.B45
ID  - 922224
KW  - Big data.
KW  - Multimedia systems.
SN  - 9789811387593
SN  - 9811387591
TI  - Multimedia Big Data Computing for IoT Applications :Concepts, Paradigms and Solutions /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-8759-3
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-8759-3
ER  -