… problem, especially, when designing decision engines. These perspectives should be …
designing and evaluation of decision engines in Fog computing environments and accordingly …

… computing data centers. This paper proposes a policy-based management of resources in
fog computing, expanding the current fog computing … , the policy decision engine analyzes the …

… with our fog-engine to easily … the fog computing model could improve the response
time by 20% for the game users. While realization of fog computing is in the early stage, fog-engine …

… fog computing differentiate it from cloud, Fog Computing is used for real time interactions but
cannot totally replace cloud computing … the fog system is placed locally near to the end user. …

… fog computing and machine learning as keywords to search for journal articles and conference
proceedings on the Google Scholar search engine. … in fog computing environments were …

… of cloud computing, edge computing and fog computing in recent years. Due to the vast and
diverse nature of research and development efforts in the area of fog computing, providing a …

… We define Fog computing as a distributed computing paradigm that … Fog computing essentially
involves components of an … , that is, in smart gateways, routers, or dedicated fog devices. …

… , which are like the engine under the hood. In this article, fog computing and a collection of
… fulfill the real-time analytics requirements in fog where the data stream mining model should …

… This section will classify and review resource-provisioning mechanisms in the edge/fog
computing paradigms for selected papers by the form of a classification that will be proposed …

… -based fog computing frameworks for … fog computing layers to perform latency- sensitive
analysis with low latency. The main goal of this research is to use this multi-layer fog computing …