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Resource demands in telco data centers
Dimitra Paranou1, Angelos Pentelas2, George Doukas2
1Athena Research Center, Information Management Systems Institute, Athens, Greece. dparanou@athenarc.gr.
Scientific Data
|June 21, 2024
Summary
This study introduces a comprehensive dataset for telecommunication (telco) cloud workloads, addressing a critical research gap. The dataset aids in optimizing telco data center operations and resource management for improved efficiency and performance.
Area of Science:
- Cloud Computing
- Telecommunication Systems
- Data Center Operations
Background:
- Telecommunication (telco) cloud services are vital for modern digital infrastructure, yet lack detailed production workload data.
- Effective resource management in telco clouds requires understanding workload characteristics for systems like schedulers and power management.
Purpose of the Study:
- To address the gap in telco cloud research by creating a comprehensive dataset of production workload patterns.
- To provide data enabling strategic network configuration and data center optimization.
Main Methods:
- Development of a comprehensive dataset capturing application demand patterns in telco data centers.
- Analysis of workload characteristics to inform resource management strategies.
Main Results:
- A novel dataset detailing telco cloud production workload patterns.
- Demonstrated applicability for network configuration, data center sizing, and operational decision-making.
Conclusions:
- The created dataset is crucial for advancing telco cloud research and development.
- The dataset facilitates enhanced efficiency, cost reduction, and optimal performance in telecommunication data centers.
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