Computational Simulation in Edge Computing Research with EdgeCloudSim

  • 1-1 ECTS credits
  • Academic year 2024-2025
  • DP00AY85
This course is a field-specific post-graduate course related to edge computing in next-generation computing systems. More information and enrollment in Peppi.

Education information

Implementation date

10.03.2025 - 11.03.2025

Education type

Field-specific studies

Alternativity of education

Optional

Location

Linnanmaa

Enrollment and further information

Education description

Edge computing is a key research area in next-generation computing systems. It offers
a transformative paradigm, enabling low-latency, distributed computing near data
sources. Unlike cloud computing, which centralizes resources, edge computing
operates upon intricate interactions among components, software layers, and hardware
layers distributed over the network. This creates a sophisticated and prolific landscape
of research themes spanning various domains, from IoT to real-time analytics.
Computational simulation experiments dominate the research methodology in this field.
Simulation provides a cost-effective means to evaluate performance, test algorithms,
and study the complex relationships within edge computing systems.
In this course participants will explore:
● The architecture, key characteristics, and applications of edge computing in
next-generation computing systems.
● The role of simulation as a pivotal research method, with an emphasis on
Discrete Event Simulation (DES) and other core concepts.
● An overview of leading edge computing simulators, such as EdgeCloudSim,
iFogSim, and YAFS.
● Practical experimentation with EdgeCloudSim, where participants design,
implement, and analyze simulations to solve real-world edge computing
problems.
By the end of the workshop, participants will gain a comprehensive understanding of
edge computing systems, their research opportunities, and the ability to use simulation
tools effectively to advance their research. This workshop is ideal for researchers
seeking to contribute to this evolving field. Basic knowledge of Java programming is
highly recommended.

Last updated: 4.2.2025