Cloud and Big Data Analytics
Cloud computing is entering our lives and changing the way people consume information dramatically. Clouds transform IT infrastructures with an emphasis on making them flexible, affordable, and capable of serving millions of users, satisfying their computing or storage demands. The design of early cloud computing systems has evolved from, and was dominated by, the concepts of cluster and grid computing. Currently, as the concepts of the cloud become advanced and mature, cloud networking and communication processes begin playing a central role. Cloud Networking has emerged as a promising direction for cost-efficient and reliable service delivery across data communication networks. The dynamic location of service facilities and the virtualization of hardware and software elements are stressing the communication network and protocols, especially when datacenters are interconnected through the Internet.
Original and unpublished high-quality research results are solicited to explore various challenging topics which include, but are not limited to:
Data Center Network Management, Reliability, Optimization
Distributed Data Center Architectures and Services, IaaS, PaaS, SaaS
Energy-Efficient Data Centers and Networks
Big Data Management
Internet Routing of Cloud Data
Virtual Ethernet Switching, Data Center Bridging
Cloud Traffic Characterization and Measurements
Intra-Cloud vs. Inter-Cloud Management
Cloud Traffic Engineering and Control-Plane Architectures
Green Data Centers and Cloud Networking
Security, Privacy, and Confidentiality in Cloud Networking
Virtualization of Network Equipment
Unified User and Machine Mobility Management
Data Flow Management and Load Balancing
Mobile Cloud Networking
Network Programmability, Software-Defined Networks
Cloud Federation and Hybrid Cloud Infrastructure
Storage Area Networks, Optical Interconnect, Fiber Channels
Content and Service Distribution
Trends in Mobile cloud applications and Services
Architectures for mobile cloud applications and services
Mobile cloud computing for rich media applications
Service discovery and interest matching in mobile cloud
Collaboration in mobile clouds
Process offloading for mobile cloud computing
Fault tolerance and reliability for Big Data processing on Cloud
Mobile device virtualization
Mobile networks for cloud computing
Mobile cloud monitoring and management
Security and privacy in mobile clouds
Performance evaluation of mobile cloud computing and networks
Scalability of mobile cloud networks
Self-organising mobile clouds
Mobile vehicular clouds
Disaster recovery in mobile clouds
Economic, social and environmental impact of mobile clouds
Mobile cloud software architecture
Big data is an emerging paradigm applied to datasets whose size or complexity is beyond the ability of commonly used computer software and hardware tools. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Besides, Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. Therefore, there is a strong demand to investigate various challenges about how to support Big Data processing by facilitating Cloud Computing potential.
Original and unpublished high-quality research results are solicited to explore various challenging topics which include, but are not limited to:
Cloud Architecture for Big Data
Resource scheduling and SLA for Big Data on Cloud
Storage and computation management in Cloud for Big Data
Large-scale data intensive workflow in support of Big Data processing on Cloud
Multiple source data processing and integration on Cloud
Virtualisation and visualisation of Big Data on Cloud
Fault tolerance and reliability for Big Data processing on Cloud
MapReduce with Cloud for Big Data processing
Distributed file storage system with Cloud for Big Data
Inter-cloud technology for Big Data
Security, privacy and trust in Big Data processing on Cloud
Green, energy-efficient models and sustainability issues in Cloud for Big Data processing
Cloud infrastructure for social networking with Big Data
User friendly Cloud access for Big Data processing
Innovative Cloud data centre networking for Big Data
Wireless and mobility support in Cloud data centre for Big Data