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:

Special Issue On: International Data Analytics in Organizational Research and Development

Submission Due Date

Guest Editors
Mambo Mupepi, Seidman College, Grand Valley State University
Jaideep Motwani, Seidman College, Grand Valley State University
Aslam Modak, Seidman College, Grand Valley State University

Data Analytics in Organizational Research and Development is an emerging trend. Data analytics is an extension of organizational research methods and techniques applied in the design and implementation of explicit practices necessary in high performance enterprises. Today’s companies compete on what they know the most. This implies creating exploitable databases in tandem with organizational research techniques to create, diffuse, and distribute the practices necessary in the value-creation system to advance efficiency and effectiveness.

The objective of this special issue is to provide an outlet for publishing original research highlighting current issues related to how information technology and organizational research methods can be deployed in organizational development to craft the competitive advantage. We seek to invite papers that address various aspects of data analytics and organizational development techniques and technology from a theoretical, conceptual, or empirical perspective to set the stage for future research direction in progressing successful enterprises.

Both quantitative as well as qualitative studies, information technology and organizational development perspectives will be encouraged.

Recommended Topics
Suitable topics include, but are not limited to, the following:

Assessment and Evaluation Techniques
Behavioral Analytics
Big Data Management
Business Intelligence (BI)
Cloud Computing
Change Management Techniques
Computer Mediated Activities
Content Management System (CMS)
Continuous Learning and Improvement
Data Analytics
Data Centre
Data Cleansing
Data Democratization
Data Mining
Data Modelling
Data Virtualization
Data Visualization
Data Warehousing
Database Management System (DBMS)
Data Mining
Decision Making Theory and Modeling
Decision Science
Decision Support Systems and Crisis Management Systems
Digital Information
Distributed File System
E-Learning & Computing For Education
Enterprise Resource Planning
Epistemic Community
Expert Systems
Fog Computing
Game Theoretic and Information Economic Analysis
Genetic Algorithms and Evolutionary Computing
Global Enterprise Systems
Internet of Things (ToT)
Information Content Security
Information Systems and Sustainability
Job Evaluation Methods
Key Performance Indicator (KPI)
Knowledge Discovery
Knowledge Management
Learning Organization
Object-Oriented Database
Online Analytical Processing (OLAP)
Online Transactional Processing (OLTP)
Open Source Software
Organizational Change
Organizational Development
Organizational Research Methods
Outsourcing versus Insourcing
Performance Management
Predictive Analytics
Radio Frequency Identification (RFID)
Risk Modeling and Financial Computing
Robotics For Intelligent Organizations
Security and Access Control
Self-Organizing and Complex Systems
Structured Query Language (SQL)
Soft Computing In Organizations
Software Engineering and Formal Methods
Structured Query Language (SQL)
Technology Transfer
Value Creation Systems
Software-as-a-Service (SaaS)

Submission Procedure
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

Submission of manuscripts: 31 March, 2017
Notification to authors: 29 April, 2017
Final versions due: 31 May, 2017

Channels and efforts to be used for recruiting submissions for the proposed Special Issue: 1. Grand Valley State University Learning Community
2. National Academy of Management Call for Papers
3. Participants to the Seidman College Management Conference April 2017

Approximate number of final accepted submissions for the proposed Special Issue will be no less than 15 and no more than 20 articles

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper go to:, register to create an account, then follow instructions to upload your paper for the Special Issue, International Journal of Organizational and Collective Intelligence.

All submissions and inquiries should be directed to the attention of:
If you have any queries concerning this special issue, please email the Guest Editor Dr. Mambo Mupepi at

Any inquires about the journal in general can be forward to the Editor-in-Chief, Victor Chang, at