Calls for Papers (special): International Journal of Organizational and Collective Intelligence (IJOCI)

Special Issue On: Collaboration and Coordination of Autonomic Management in Cloud Environments

Submission Due Date

Guest Editors
Mohamed Mohamed (IBM Research Center, USA)
Djamel Belaïd (Telecom SudParis, France)


With the high dynamic and unpredictable behavior of Cloud resources, Autonomic Management is becoming a must-have capability for cloud providers. Autonomic Management is defined by IBM as the ability to manage computing resources automatically and dynamically to respond to the requirements of the business based on SLA. Autonomic Management is usually represented by an autonomic loop. This loop consists on harvesting monitoring data, analyzing them and generating reconfiguration strategies to correct violations (self-healing and self-protecting) or to target a new state of the system (self-configuring and self-optimizing).

However, coupling autonomic management with Cloud computing remains critical and challenging since Cloud systems are composed of heterogeneous resources (physical hosts and virtual machines, connected by different network elements). The introduction of Autonomic Management implies the usage of Autonomic Managers able of managing a set of resources. Their main role is to adapt the associated resources to the dynamic of their environment.

A single Autonomic Manager cannot solve all performance problems just by itself because it has only a local view of the system with some limited authority to change things. Thus, dealing with the large number of nodes in the system is impossible for just one Autonomic Manager. In order to encompass the large-scale nature of Cloud systems, a general consensus has been reached that the supporting Autonomic Computing architecture should be distributed in order to limit bottleneck problems and to ensure the scalability. Therefore, the complexity of managing a large system will entail a number of different Autonomic Managers which must collaborate in order to achieve the overall objectives set for the computing environment and its constituents. However, the relationships between these managers and how they cooperate introduce new challenges that need to be addressed.


The objective of this special issue is to gather different research works targeting collaboration of Autonomic Management loops in order to have a clear view on the targeted challenges and their solutions. We welcome any work targeting one of the wide range aspects of this field.

Recommended Topics
  • The Use, Business and Technical Cases at the intersection between Cloud computing and Autonomic Computing
  • Collaboration models in distributed systems
  • Collaborative decision-making in distributed systems
  • Relationship design in a collaborative autonomic system
  • Sensor, Effector Devices and Mobile Clouds
  • Sensor Analytics in the Cloud
  • Collaboration mechanisms in IoT solutions
  • Collaboration Communication Protocols in distributed systems
  • Newer collaboration applications across real use cases
  • Collaboration of objects in Smart Environments (smart homes, hotels, offices, railway stations, cars, cities, airports, governments, etc.)

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Collaboration and Coordination of Autonomic Management Loops in the Cloud on or before September 30, 2015. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Mohamed Mohamed (IBM Research Center, USA) Email:
Djamel Belaïd (Telecom SudParis, France) Email:
International Journal of Organizational and Collective Intelligence
All manuscript submissions to the special issue should be sent through the online submission system: