TY - JOUR
T1 - Editorial for FGCS special issue
T2 - Big Data in the cloud
AU - Chang, Victor
AU - Ramachandran, Muthu
AU - Wills, Gary
AU - Walters, Robert John
AU - Li, Chung Sheng
AU - Watters, Paul
N1 - Publisher Copyright:
© 2016
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Research associated with Big Data in the Cloud will be important topic over the next few years. The topic includes work on demonstrating architectures, applications, services, experiments and simulations in the Cloud to support the cases related to adoption of Big Data. A common approach to Big Data in the Cloud to allow better access, performance and efficiency when analysing and understanding the data is to deliver Everything as a Service. Organisations adopting Big Data this way find the boundaries between private clouds, public clouds and Internet of Things (IoT) can be very thin. Volume, variety, velocity, veracity and value are the major factors in Big Data systems but there are other challenges to be resolved. The papers of this special issue address a variety of issues and concerns in Big Data, including: searching and processing Big Data, implementing and modelling event and workflow systems, visualisation modelling and simulation and aspects of social media.
AB - Research associated with Big Data in the Cloud will be important topic over the next few years. The topic includes work on demonstrating architectures, applications, services, experiments and simulations in the Cloud to support the cases related to adoption of Big Data. A common approach to Big Data in the Cloud to allow better access, performance and efficiency when analysing and understanding the data is to deliver Everything as a Service. Organisations adopting Big Data this way find the boundaries between private clouds, public clouds and Internet of Things (IoT) can be very thin. Volume, variety, velocity, veracity and value are the major factors in Big Data systems but there are other challenges to be resolved. The papers of this special issue address a variety of issues and concerns in Big Data, including: searching and processing Big Data, implementing and modelling event and workflow systems, visualisation modelling and simulation and aspects of social media.
KW - 5Vs in Big Data
KW - Big Data
KW - Big Data and Cloud services
KW - Big Data for Cloud
KW - Challenges and recommendations for Big Data
KW - Emerging issues
UR - http://www.scopus.com/inward/record.url?scp=84992312592&partnerID=8YFLogxK
U2 - 10.1016/j.future.2016.04.007
DO - 10.1016/j.future.2016.04.007
M3 - Editorial
AN - SCOPUS:84992312592
SN - 0167-739X
VL - 65
SP - 73
EP - 75
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
ER -