Abstract
Workload traces play a crucial role in the design and evaluation of storage systems. They are used for evaluating system performance and optimizing aspects such as data access speeds, energy consumption, and load balancing. Most publicly available traces were collected in cloud environments, which limits their ability to represent workloads in user-centric and highly disaggregated settings such as edge systems.In this paper, we present WoW-IO, an open-source object trace generator based on the popular video game 'World of Warcraft'. WoW-IO uses, as input, logs of in-game avatar information from the game's servers. We describe the principles and assumptions used in the design of WoW-IO, how the generated traces can be used to evaluate various aspects of an edge storage-system design, and how the trace format can be extended to reflect additional details and complex usage scenarios.
Original language | English |
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Pages (from-to) | 51-58 |
Number of pages | 8 |
Journal | Proceedings of the IEEE International Conference on Fog and Edge Computing, ICFEC |
Issue number | 2024 |
DOIs | |
State | Published - 2024 |
Event | 8th IEEE International Conference on Fog and Edge Computing, ICFEC 2024 - Philadelphia, United States Duration: 6 May 2024 → 9 May 2024 |
Keywords
- edge computing
- edge workloads
- trace generation
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Hardware and Architecture
- Information Systems and Management