Table of contents: Track 1: Architecture Sample topics include, - Cloud Infrastructure as a Service -Cloud Platform as a Service -Cloud federation and hybrid cloud infrastructure -Programming models and systems/tools -Green data center -Networking technologies for data center -Cloud system design with FPGA, GPU, and APU -Monitoring, management and maintenance -Economic and business models -Dynamic resource provisioning Track 2: MapReduceSample topics include, -Performance characterization and optimization -MapReduce on multi-core, GPU -MapReduce on hybrid distributed environments -MapReduce on opportunistic / heterogeneous computing systems -Extension of the MapReduce programming model -Debugging and simulation of MapReduce systems -Data-intensive applications using MapReduce -Optimized storage for MapReduce applications -Fault-tolerance & Self-capabilities Track 3: Security and Privacy -Accountability -Audit in clouds -Authentication and authorization -Cryptographic primitives -Reliability and availability -Trust and credential management -Usability and security -Security and privacy in clouds -Legacy systems migration -Cloud Integrity and Binding Issues Track 4: Services and Applications -Cloud Service Composition -Query and discovery models for cloud services -Trust and Security in cloud services -Change management in cloud services -Organization models of cloud services -Innovative cloud applications and experiences -Business process and workflow management -Service-Oriented Architecture in clouds Track 5: Virtualization -Server, storage, network virtualization -Resource monitoring -Virtual desktop -Resilience, fault tolerance -Modeling and performance evaluation -Security aspects -Enabling disaster recovery, job migration -Energy efficient issues Track 6. HPC on Cloud -Load balancing for HPC clouds -Middleware framework for HPC clouds -Scalable scheduling for HPC clouds -HPC as a Service -Performance Modeling and Management -Programming models for HPC clouds -HPC cloud applications -Optimal cloud deployment for HPC Track 7. Big Data Science and Foundations -Novel Theoretical Models for Big Data -New Computational Models for Big Data -Data and Information Quality for Big Data -New Data Standards Track 8.Big Data Infrastructure -Cloud/Grid/Stream Computing for Big Data -High Performance/Parallel Computing Platforms for Big Data -Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment -Energy efficient Computing for Big Data -Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data -Software Techniques and Architectures in Cloud/Grid/Stream Computing Big Data Open Platforms -New Programming Models for Big Data beyond Hadoop/MapReduce, STORM -Software Systems to Support Big Data Computing Track 9. Big Data Management -Advanced database and Web Applications -Novel Data Model and Databases for Emerging Hardware -Data Preservation -Data Provenance -Interfaces to Database Systems and Analytics Software Systems -Data Protection, Integrity and Privacy Standards and Policies -Information Integration and Heterogeneous and Multi-structured Data Integration -Data management for Mobile and Pervasive Computing -Data Management in the Social Web -Crowd sourcing -Spatiotemporal and Stream Data Management -Scientific Data Management -Workflow Optimization -Database Management Challenges: Architecture, Storage, User Interfaces Track 10. Big Data Search and Mining -Social Web Search and Mining -Web Search -Algorithms and Systems for Big Data Search -Distributed, and Peer-to-peer Search -Big Data Search Architectures, Scalability and Efficiency -Data Acquisition, Integration, Cleaning, and Best Practices -Visualization Analytics for Big Data -Computational Modeling and Data Integration -Large-scale Recommendation Systems and Social Media Systems -Cloud/Grid/Stream Data Mining- Big Velocity Data -Link and Graph Mining -Semantic-based Data Mining and Data Pre-processing -Mobility and Big Data Track 11. Big Data Security & Privacy -Intrusion Detection for Gigabit Networks -Anomaly and APT Detection in Very Large Scale Systems -High Performance Cryptography -Visualizing Large Scale Security Data -Threat Detection using Big Data Analytics -Privacy Threats of Big Data -Privacy Preserving Big Data Collection/Analytics -HCI Challenges for Big Data Security & Privacy -User Studies for any of the above -Sociological Aspects of Big Data Privacy Track 12. Big Data Applications -Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance -Business, Law, Education -Transportation, Retailing, Telecommunication -Big Data Analytics in Small Business Enterprises (SMEs) -Big Data Analytics in Government, Public Sector and Society in General -Real-life Case Studies of Value Creation through Big Data Analytics -Big Data as a Service -Big Data Industry Standards -Experiences with Big Data Project Deployments Track 13.

Recent trends -Semantic Cloud -Mobile Cloud -e-Healthcare Applications in Cloud -Cloud analytics for Internet of Things (IoT) -Smart Grid -Fog Computing -Edge Computing -Deep Learning -CNN.