  Edge computing is a novel computing paradigm which extends cloud computing
storage and computation resources at the edge of network and closer to the
end-users in order to tackle the problem of communication latency in
latency-sensitive applications. For the last decades, there have been many
research efforts dedicated to this field. However, there are still many
operational challenges. The dramatic growth in researches, large volume of
published studies, and the attention of researchers in this field in recent
years have made it necessary to conduct a Systematic Mapping Study in this
field. we need a comprehensive guide to enable researchers to do more effective
searches on each scope of edge computing. An important part of the methodology
is to use the appropriate search method using a three-tier strategy. In this
method, we defined some quality criteria to extract search spaces and studies
with the highest quality for reading and analysis. In a separate phase, we
evaluated the extraction process of related studies in terms of accuracy. using
this comprehensive methodology, we select the number of 112 search spaces out
of all 805 ones and by search in these search spaces we select 1440
high-quality studies out of 8725. In our Systematic Mapping Study, 8 research
questions have been designed to achieve goals such as identifying the main
topics, architectures, techniques, and so on in the field of edge computing. We
aim this paper can serve as a guideline for researchers interested in this
field.
