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
9/30/2015

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

Introduction

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.



Objective

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 http://www.igi-global.com/journals/guidelines-for-submission.aspx. 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: mmohamed@us.ibm.com
Djamel Belaïd (Telecom SudParis, France) Email: djamel.belaid@telecom-sudparis.eu
International Journal of Organizational and Collective Intelligence
All manuscript submissions to the special issue should be sent through the online submission system: http://www.igi-global.com/authorseditors/titlesubmission/newproject.aspx

Special Issue On: The Swarm Intelligence

Submission Due Date
10/31/2017

Guest Editors
Mohamed Amine Boudia
Laboratoire Gestion des Connaissances et des Données Complexes

Reda Mohamed HAMOU
Laboratoire Gestion des Connaissances et des Données Complexes


Introduction
Swarm intelligence is an important concept in artificial intelligence and computer science with emergent properties. The essential idea of swarm intelligence algorithms is to employ many simple agents applying almost no rule which in turn leads to an emergent global behavior. In this paper, we will introduce some of the most famous bio-mimicry algorithms and discuss their applications as well as metaheuristics inspired from the collective behaviors of nature. Swarm Intelligence (SI) can therefore be defined as a relatively new branch of Artificial Intelligence that is used to model the collective behaviour of social swarms in nature, such as ant colonies, honey bees, and bird flocks. Although these agents (insects or swarm individuals) are relatively unsophisticated with limited capabilities on their own, they are interacting together with certain behavioural patterns to cooperatively achieve tasks necessary for their survival.

The swarm intelligence, it has attracted the attentions of many researchers and has shown great success on real real-life problems and applications in which the use of swarm-based optimization algorithms has been successfully made in the literature, but not providing readers with an extensive survey on swarm intelligence applications.


Objective
The missions of this special issue of IJOCI aim at making more researchers understand the principles of Swarm Intelligence in several fields of computer science.

Recommended Topics
  • Swarm Intelligence algorithm
  • Swarm Intelligence for clustering
  • Swarm Intelligence for Information Retrieval
  • Swarm Intelligence for Information Extraction
  • Swarm Intelligence for optimization problem
  • Combination of Swarm Intelligence with other bio-inspired algorithm
  • Swarm Intelligence for automatic summarisation
  • Swarm Intelligence for detection and filtering of spam
  • Swarm Intelligence for Hacking, cyber-terrorism, and intrusion detection
  • Swarm Intelligence for cryptography.
  • Swarm Intelligence for Security and Privacy Preserving problem.
  • Application of Swarm Intelligence for Cloud Computing and big data.
  • Application of Swarm Intelligence for Web Sementic and ontology
  • Application of Swarm Intelligence for graph theory
  • Application of Swarm Intelligence for communication and Network


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on the Swarm Intelligence on or before October 31, 2017. 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 http://www.igiglobal.com/journals/guidelines-for-submission.aspx. 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 Amine Boudia
Guest Editor
International Journal of Organizational and Collective Intelligence (IJOCI)
E-mail: mamiamounti@yahoo.fr

OR

Reda Mohamed HAMOU
Guest Editor
International Journal of Organizational and Collective Intelligence (IJOCI)
E-mail: hamoureda@yahoo.fr