Internet of Everything by Beniamino Di Martino Kuan-Ching Li Laurence T. Yang & Antonio Esposito

Author:Beniamino Di Martino, Kuan-Ching Li, Laurence T. Yang & Antonio Esposito
Language: eng
Format: epub
Publisher: Springer Singapore, Singapore

8.5 Application Management

In order to ensure proper application management in Fog computing, efficient programming platforms are very essential. Besides the scalability and computation offloading facilities also contribute significantly in application management.

Programming platform provides necessary components such as interfaces, libraries, run-time environment, etc. to develop, compile and execute applications. Due to dynamic nature of Fog computing, assurance of proper programming support for large-scale applications is very challenging. In order to overcome this issue, a new programming platform named Mobile Fog [21] has been introduced. Mobile Fog offers simplified abstraction of programming models for developing large-scale application over heterogeneous-distributed devices. In another paper [36], besides coordinating resources during applications execution, a programming platform based on distributed data flow approach has also been designed for application development in Fog computing.

Scaling points to the adaptation capability of applications in retaining their service quality even after proliferation of application users and unpredictable events. Scaling techniques can also be applied in application scheduling and users service access. To support scalable scheduling of data stream applications, architecture of a QoS-aware self adaptive scheduler [26] has been recently proposed in Fog computing. This scheduler can scale applications with the increasing of both users and resources and does not ask for global information about the environment. Moreover, due to self-adaptive capability of the scheduler, automatic reconfiguration of the resources and placement of applications in a distributed fashion become easier. Besides, based on distance, location and QoS requirements of the service accessing entities, an adaptive technique for users service access mode selection has also been proposed in Fog computing [27].

Offloading techniques facilitate resource constrained end devices in sending their computational tasks to some resource-enriched devices for execution. Computational offloading is very common in mobile cloud environment. However, recently, as a part of compatibility enhancement of Fog computing for other networking systems, computation offloading support for mobile applications in Fog computing have been emphasized in several papers. In these papers offloading techniques have been discussed in terms of both distributed computation of mobile applications [35] and resources availability [39].

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