Despite the importance of resource allocation issues, there is no systematic, comprehensive and detailed survey on approaches in fog-computing context. In this article, we provide a Systematic Literature Review (SLR) fog environments form classical taxonomy to recognize state-of-the-art mechanisms important topic open issues. The presented categorized into three main fields: centralized allocat...

In this paper we propose a wet lab algorithm for prediction of radiation fog by DNA computing. The concept of DNA computing is essentially exploited for generating the classifier algorithm in the wet lab. The classifier is based on a new concept of similarity based fuzzy reasoning suitable for wet lab implementation. This new concept of similarity based fuzzy reasoning is different from convent...

Despite the remarkable work conducted to improve fog computing applications’ efficiency, task scheduling problem in such an environment is still a big challenge. Optimizing these applications, i.e. critical healthcare smart cities, and transportation urgent save energy, quality of service, reduce carbon emission rate, flow time. As proposed much recent work, dealing with this as single objectiv...

Internet of Things (IoT) aims to bring every object (e.g. smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive amounts of data that can overwhelm storage systems and data analytics applications. Cloud computing offers services at the infrastructure level that can scale to IoT storage and processing requirements. However, there are appli...

Correspondence Harshit Gupta, School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA. Email: [email protected] Summary Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications. C...