“Novel edge computing-inspired approaches and paradigms for mobile IoT applications”

in Special Issue   Posted on November 2, 2017 

Information for the Special Issue

Special Issue Call for Papers:

Guest editors:

Kim-Kwang Raymond Choo, Ph.D., University of Texas at San Antonio, USA, [email protected]


Cristian Mateos Diaz, Ph.D., UNICEN University, Argentina, [email protected]


Alejandro Zunino, Ph.D., UNICEN University, Argentina, [email protected]


Aims & scope

Mobile-oriented cloud architectures and technologies play an important and increasing role in practice due to the widespread adoption of mobile devices. From the industry perspective, the synergy between mobile and cloud technologies has resulted in new cloud provisioning models for supporting mobile application development and deployment, such as Mobile Backend as a Service (MBaaS). MBaaS supports cloud services which are commonly needed by web and mobile systems (e.g., data storage, identity and access management, synchronization and push notifications). From an academic perspective, mobile cloud computing (MCC) is a way of augmenting mobile devices and dealing with the inherent limitations related to remote resources located in the cloud. Specifically, MCC combines advances from mobile computing, cloud computing and wireless/fixed networks so that rich applications, such as speech recognition and augmented reality, can be seamlessly and efficiently “executed” on mobile devices via the actual execution of computations and data processing on remote cloud resources. Techniques materializing this idea include offloading and cyber-foraging.

Fog computing paradigm was introduced around 2012 to provide highly-scalable infrastructures for latency and location-aware MCC applications, where geographical distribution, mobility and SW/HW heterogeneity prevail. While fog computing can be viewed as a special case of MCC, it represents also an evolution of the latter since it includes the ability of augmenting mobile (e.g., laptops, smartphones, tablets and wearables) and wireless devices (e.g., sensors and actuators) with processing/storage resources in their proximity, in terms of network topology. Indeed, several flavors of this idea, including micro-data centers, cloudlets and fog computing itself, follow the edge computing model, by which data/computations are processed using computing resources located at the edge of the network –accessible through wireless protocols– and optionally using remote resources in the cloud.

Motivated not only by the increasing number of mobile devices, but also their ever-growing computing and sensing capabilities, there have been efforts to leverage these devices as destination for offloading computations/data in the context of edge/fog applications. Such a trend has also been referred to as dew computing in the literature. However, current research in the area is still focused on augmenting mobile clients via fixed computing resources (e.g., local servers and computer clusters), so huge unexploited computing and sensing capabilities remain “at the edge”. Therefore, many research opportunities to exploit mobile devices in the context of edge/fog computing arise.


This special issue aims at collecting novel ideas to materialize this new evolutionary step of Edge Computing, i.e. those moving the edge even closer to the application/data source and conceiving mobile devices as having a dual role by which they both exploit nearby and remote fixed resources, and also offer their own resources (e.g., CPU cycles, storage and even sensors) to nearby/external applications and services. Potential topics include, but are not limited to, the ones shown below:

  • Architectures, frameworks, standards and platforms for dew/fog/edge computing
  • Programming models, APIs and toolkits for dew/fog/edge computing and IoT
  • Offloading techniques for compute-intensive and data-intensive IoT applications
  • Middleware for distributed computations and data management in edge computing
  • Resource scheduling and management in edge computing
  • Energy efficiency and energy consumption aspects (middleware-level and application-level)
  • Fault-tolerance and scalability mechanisms
  • Service-orientation and QoS concepts applied to edge computing
  • Context-awareness for IoT applications at the edge
  • Technical solutions to address security and privacy in edge computing environments
  • Novel applications and experiences with edge computing

Literature surveys are also welcome.

Important Dates

  • Submission Deadline: February 1, 2018
  • Feedback to Authors after Initial Screening: April 1, 2018
  • Review Results Notification: June 30, 2018
  • Revised Manuscript Due: July 30, 2018
  • Final Decision Notification: September 30, 2018

Submission Guidelines

Please use the electronic submission system at https://www.evise.com/profile/#/FGCS/login, and select \”SI: EdgeMobileIoT\” when selecting the article type during submission.

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