A Review on Cloud and Fog Computing Integration for IoT: Platforms Perspective

Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2018, Vol 4, Issue 14

Abstract

The fourth industrial revolution can connect ecosystems of more than 20 billion devices with an unpredictable gross of the local consumption. Connected devices will produce approximately 44 ZB of raw data by 2020, which provides interesting challenges relatively to privacy, connectivity, and scalability. The Internet of Things (IoT) is earning growing attention that provides the interconnection between the physical and the digital world. Consequently, the physical world needs to be measured and converted into expressible statistics. Cloud for IoT introduces precious application and unique services in several domains. However, fog computing helps in efficient utilization and better performance in case of bandwidth utilization, and low power consumption. This review focuses on the IoT platforms used for fog and cloud computing to serve IoT end-to-end services. In addition, the application of the cloud of thing and fog roles to improve the challenges of the cloud of things are also provided.

Authors and Affiliations

Asrar A. Baktyan, Ammar T. Zahary

Keywords

Related Articles

Driver’s ECG Signal Detection and Transmission by Impulse-Radio-Based Human Body Communication Technology

In this study, we developed a wearable electrocardiogram (ECG) sensor with human body communication (HBC) tech- nology for vital data transmission in a car. The ECG signals were modulated with wideband pulse signals betw...

A Capability – Driven modelling approach applied in smart transportation & management systems for large scale events

Economic growth in Europe has been, strongly associated with urbanization, overwhelming cities with vehicles. This renders mobility inside cities problematic, since it is often associated with large waste of time in traf...

Analysis of Indoor Rowing Motion using Wearable Inertial Sensors

In this exploratory work the motion of rowers is analyzed while rowing on a rowing machine. This is performed using inertial sensors that measure the orientation at several positions on the body. Using these measurements...

A Partial-differential Approximation for Spatial Stochastic Process Algebra

We study a spatial framework for process algebra with ordinary differential equation (ODE) semantics. We consider an explicit mobility model over a 2D lattice where processes may walk to neighbouring regions independentl...

A Search Algorithm Based on K-Weighted Search Tree

Aiming at the issue of low efficiency in Peer-to-Peer (P2P) network system, a search algorithm based on K-weighted search tree is proposed. The k-weighted search tree serving the search is constructed. The nodes are rank...

Download PDF file
  • EP ID EP46615
  • DOI http://dx.doi.org/10.4108/eai.20-12-2018.156084
  • Views 309
  • Downloads 0

How To Cite

Asrar A. Baktyan, Ammar T. Zahary (2018). A Review on Cloud and Fog Computing Integration for IoT: Platforms Perspective. EAI Endorsed Transactions on Internet of Things, 4(14), -. https://europub.co.uk/articles/-A-46615