Edge computing is proposed as a technical enabler for meeting emerging network
technologies (such as 5G and Industrial Internet of Things), stringent application …

Fog computing is a distributed paradigm that provides computational resources in the users'
vicinity. Fog orchestration is a set of functionalities that coordinate the dynamic infrastructure …

Fog computing (FC) can be considered as a computing paradigm which performs Internet of
Things (IoT) applications at the edge of the network. Recently, there is a great growth of data …

The workload predictor has attracted attention as a key component of the proactive service
operation management framework. However, the request and resource workloads of cloud …

The rapid proliferation and progress of Wireless Sensor Networks (WSN) and Internet of
Things (IoT) has conducted to the formation of a gigantic amount of data and a growing need …

In order to improve the accuracy and efficiency of the clustering mining algorithm, this paper
focuses on the clustering mining algorithm for large data. Firstly, the traditional clustering …

Electricity theft can be considered as a Nontechnical Loss (NTL) in smart grids, which is very
harmful to the power system. Electricity Theft Detection (ETD) is a procedure to detect …

Firstly, this paper introduces the types of clustering algorithm, and introduces the classical K-
means algorithm and canopy algorithm in detail. Then, combining the map reduce …

With the emergence of internet-based devices, the traditional industrial control system (ICS)
networks have evolved to co-exist with the conventional IT and internet enabled IoT …

Recently, containers have become the primary deployment form for cloud applications.
Predicting container workload accurately is critical to ensure the quality of service (QoS) and …