Special Issue on Smart Data in Future Internet Technologies and Cloud Computing
摘要截稿:
全文截稿: 2018-05-15
影响因子: 6.125
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:理论方法 - 1区
Overview
The fast growing data volume has enabled multiple application to become “smart” in implementations. The Internet technologies combining distributed computing settings such as cloud computing have further increased the performance of the system. The benefits of using data-driven applications have a strong impact on various industries, including the financial industry, manufacturing, consulting agency, and healthcare. One of the vital issues in data-driven applications is to find out efficient methods of optimizations in both executions and outputs sides. The challenges are varied, which could include but are limited to speeding up the data mining efficiency in big data, secure data transmissions among multiple stakeholders, adoptable network designs for multi-channel communications, etc. Using data wisely is considered one of the potential solutions to the potential risks or restrictions in the field.
This special issue aims to gather recent quality work in the topic of smart data in future Internet technologies as well as cloud computing and provide the work with a discussion and evaluation forum. The principal focus of this special issue will address new techniques in the field of data mining in the network and cloud context.
Scope:
Topics of particular interest include, but are not limited to:
- Cloud workload profiling and centralized control solution
- Self-service cloudlet and clustered edge servers
- Analytics applications
- Scientific computing and data management
- Cloud metering, implementation, and monitoring
- Network-based big data management and analytics
- Smart storage and data analytics in clouds
- Cyber threat intelligence and defense
- Data-driven service management automation
- Security and fault tolerance for embedded or ubiquitous systems
- Cloud security and privacy issues
- Sensor network security issues in mobile cloud computing
- Embedded networks and sensor network optimizations
- Cloud computing and networking models
- Ambient intelligence and intelligent service systems in cloud system