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: Advanced Research in Internet of Things (IoT): Applications, Services, and Implementations

Submission Due Date
2/10/2018

Guest Editors
Hadj Ahmed BOUARARA
GeCoDe Laboratory

Dr. Tahar Moulay
University of Saïda, Saïda, Algeria

Introduction
Few years ago, decisions were made by guesswork or painstakingly constructed models of reality, but nowadays this can be traced based on the data itself. Inetrnet of Things (IoT) is a broadly recognized era over the planet and this is ascribable to the growing enthusiasm of a new concept known as Big Data. This last is a new term which describes the process of collecting and analysing information of different form that is available publicly in enormous volumes. Dan Gardner had written an essay in “The Human Face of Big Data” in which he had depicted the existing information as an “ocean of data” created by recording every single information circulating on the web. Searches on Google, social networks, and sales web sites are sources which feed the ocean. The more they are used, the more the ocean swells. In the light of this remarkable development, the data analysts and computer scientists had focused their interest on this treasure in order to benefit from it in enhancing daily life of individual users and commercial community. Consequently, new powerful and clever algorithms have been developed to analyse these data in order to extract valuable decisions. From that, Big Data can be simply defined as the ability of diving within ocean of data of different forms to extract hidden patterns and IOT represents the exchange of information and data from real-world devices with the Internet where sensing a complex environment, connectivity, scalability, and privacy are the major problems that IoT suffers from since its creation. At this stage, developing approaches and solutions to process those challenges has become a major issue in today's digital world for large research studies and spectaculations.

Objective
This special issue aims at making more researchers in understanding, developing new heuristics, and application of metaheuristics for internet of things and its application, either for classic NP hard problems, or real-life issues.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

• Big Data /Data Science
• Internet of things (IOT)
• Web of objects
• Connected objects
• Metahrusitics
• databases (including NoSQL)
• Privacy preserving
• Data mining in IoT
• Artificial Intelligence (AI) in IoT
• IoT and big data analytic
• IoT platforms and architectures
• Connectivity in IoT
• Security in IoT
• Information retrievak in IoT
• Bioinpiration in IoT applications
• Survey of IoT challanges


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Advanced Research in Internet of Things (IoT): Applications, Services, and Implementations on or before
10 February, 2018
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/publish/contributor-resources/before-you-write/. 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:
Hadj Ahmed BOUARARA Guest Editor International Journal of Organizational and Collective Intelligence (IJOCI) E-mail: bouararaahmed1990@gmail.com