Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …

Integrating user ends (UEs), edge servers (ESs), and the cloud into end-edge-cloud
computing (EECC) can enhance the utilization of resources and improve quality of …

Multi-objective evolutionary algorithm (MOEA) has become a common and effective method
to solve real-world multi-objective optimization problems. However, in some practical …

The rapid development of artificial intelligence (AI) and edge computing technology has
promoted the rapid growth of the number of data centers, but also caused large energy …

The computing resources are supplied by cloud computing on basis of cloud user
requirements demand. Using virtualization and distributed computing, the resource …

Collaborative cloud-edge-end computing is a promising solution to support computation-
intensive and latency-sensitive tasks by utilizing rich computing resources of cloud …

Deciding the correct extent of resources needed to run the various cloud services is always
a challenge. Often in such dynamic environments, there is a tremendous need for accurate …

The service resource allocation strategy optimization problem has always been a hot issue
in mobile edge computing (MEC). In this article, we formulate the problem as a long-term …

With the rapid development of mobile devices, limited edge computing resources, and
separate cloud computing systems is difficult to meet the different needs of different …

In fault tolerance for parallel and distributed systems, message logging protocols have
played a prominent role in the last three decades. Such protocols enable local rollback to …