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Malaysian Journal of Computer Science
(ISSN 0127-9084)
https://ejournal.um.edu.my/index.php/MJCS/
Special Issue of “International Conference on Cloud Computing and Big Data Challenges”
Guest Editors:
1. Dr. V. Vijayakumar, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India
2. Dr. V.Neelanarayanan, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India
In 2019, International Conference on Cloud Computing and Big Data Challenges celebrates the 6th edition of gathering, to strive to advance the largest international professional forum on big data and cloud computing. We invite the submission of original, unpublished technical papers on topics including but not limited given subject coverage. This special issue is intended to report high-quality research on recent advances towards the realization of new technologies of cloud computing and big data. This special issue also aims to demonstrate the emerging issues in the research of artificial intelligence and machine learning for cloud and big data systems including various analytical approaches, intelligent systems, and smart environments. Original and research articles are solicited in all aspects including theoretical studies, practical applications, and experimental prototypes. Unpublished innovative papers which are not currently under review to another journal or conference are invited in the following relevant areas.
Subject Coverage
Suitable topics include, but are not limited to, the following:
1. Architecture
• 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
2. MapReduce
• 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
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
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
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
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
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
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
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
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
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
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
13. Recent trends
• Semantic Cloud
• Mobile Cloud
• e-Healthcare Applications in Cloud
• Cloud analytics for Internet of Things (IoT)
• Smart Grid
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
If you have any queries concerning this special issue, please email the Guest Editor Dr. V. Vijayakumar at [email protected]
Important Dates
Manuscript due by : 30 September, 2019
Notification to authors : 30 October, 2019
Final versions due by : 30 November, 2019
Submission Link:
https://easychair.org/conferences/?conf=siicbcc2019
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