2017年10月18日 星期三
【學術活動】Call for Papers, SI: Autonomous Cloud
Call for Papers, SI: Autonomous Cloud
活動網址：
Autonomous Cloud is an exciting area of development and research that utilizes artificial intelligence, machine learning and data analytics to aid in intelligent cloud management and decision making. Such techniques can support automation of operations such as services mapping, scaling, network design, data organization and security management. However the drawback with machine learning is that the learning period can be long. Furthermore the priority of particular performance indicators can vary with changing stakeholder requirements adding more complexity and learning time. . To what extent can the Cloud be self-organising? This special issue brings together high-standard research and review papers that reveal the edge of the art in this important, challenging area.
Areas of interest include but are not limited to:
New models for the distributed cloud infrastructure
Autonomous and distributed cloud management systems
Novel methods for predictive load modelling possibly using application semantics and considering time zones and location
Distributed analytics – considering data and usage patterns across the network and federated Cloud
Load balancing, data balancing and task scheduling in dynamic environments
Services and application mapping considering both Cloud and Cloud edge locations
Intelligent Cloud responses to application and usage behaviours
Application agents that determine best placement for applications
Machine learning for autonomous Cloud
Vertical and horizontal tuning for application areas and application examples
Dynamic network design to meet changing requirements and loading
Cloud security and dynamic security management
We look forward to receiving your excellent papers on any interesting scientific aspect related to Autonomous Cloud.
Submission Guidelines
Authors should prepare their manuscript according to the Guide for Authors available from the online submission page of the Future Generation Computer Systems at https://www.evise.com/evise/jrnl/FGCS. Authors should select “VSI: Autonomous Cloud” when they reach the “Article Type” step in the submission process.
Paper submission due: Dec 31, 2017
Guest Editors
Professor Anne JamesNottingham Trent University, UKanne.james@ntu.ac.uk
Professor Amy TrappeyNational Tsing Hua University, Taiwantrappey@ie.nthu.edu.tw
Dr Yinsheng LiFudan University, Chinaliys@fudan.edu.cn
Dr Weiming ShenNational Research Council Canada,wshen@uwo.ca