Editorial for FGCS special issue: Big Data in the cloud

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.

[1]  Luiz Fernando Bittencourt,et al.  CEPSim: Modelling and simulation of Complex Event Processing systems in cloud environments , 2016, Future Gener. Comput. Syst..

[2]  Rahat Iqbal,et al.  Cloud enabled data analytics and visualization framework for health-shocks prediction , 2016, Future Gener. Comput. Syst..

[3]  Muthu Ramachandran,et al.  Cloud Computing Adoption Framework – a security framework for business clouds , 2015 .

[4]  Samee Ullah Khan,et al.  MapReduce-based fast fuzzy c-means algorithm for large-scale underwater image segmentation , 2016, Future Gener. Comput. Syst..

[5]  Seungwoo Jeon,et al.  Monte Carlo simulation-based traffic speed forecasting using historical big data , 2016, Future Gener. Comput. Syst..

[6]  Hai Jin,et al.  Future Generation Computer Systems , 2022 .

[7]  Neil Y. Yen,et al.  State transition in communication under social network: An analysis using fuzzy logic and Density Based Clustering towards big data paradigm , 2016, Future Gener. Comput. Syst..

[8]  Victor I. Chang,et al.  Secure searching on cloud storage enhanced by homomorphic indexing , 2016, Future Gener. Comput. Syst..

[9]  Kenji Takeda,et al.  Scalable and efficient whole-exome data processing using workflows on the cloud , 2016, Future Gener. Comput. Syst..

[10]  Jin-Soo Kim,et al.  ActiveSort: Efficient external sorting using active SSDs in the MapReduce framework , 2016, Future Gener. Comput. Syst..

[11]  LiGuo Huang,et al.  A security and cost aware scheduling algorithm for heterogeneous tasks of scientific workflow in clouds , 2016, Future Gener. Comput. Syst..

[12]  Ching-Hsien Hsu,et al.  Data adapter for querying and transformation between SQL and NoSQL database , 2016, Future Gener. Comput. Syst..

[13]  Victor I. Chang,et al.  A model to compare cloud and non-cloud storage of Big Data , 2016, Future Gener. Comput. Syst..