Autonomous Cloud

in Special Issue   Posted on November 2, 2017 

Information for the Special Issue

Submission Deadline: Sun 31 Dec 2017
Journal Impact Factor : 3.997
Journal Name : Future Generation Computer Systems
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

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 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 James
Nottingham Trent University, UK
[email protected]

Professor Amy Trappey
National Tsing Hua University, Taiwan
[email protected]

Dr Yinsheng Li
Fudan University, China
[email protected]

Dr Weiming Shen
National Research Council Canada,
[email protected]

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