Resource demands in telco data centers

TL;DR

This paper introduces a comprehensive dataset of telco data center workloads to improve resource management and operational efficiency.

Contribution

The paper presents a novel dataset capturing application demand patterns in telco data centers to support better resource management.

Findings

The dataset enables strategic network configuration and data center sizing.

It supports proactive decision-making and reduces operational costs in telco data centers.

Abstract

Telecommunication (telco) cloud services have emerged as crucial components in the modern digital landscape, offering extensive capabilities for data management, connectivity, and service provision. However, research on telco clouds lacks comprehensive data on the characteristics of production workloads, which is fundamental for designing effective resource management systems, such as workload schedulers and power management mechanisms. To this end, this paper addresses a substantial gap in telco cloud research by creating a comprehensive dataset that encapsulates crucial information regarding the pattern demands of applications within telco data centers. In addition, the proposed dataset contributes to the field by enabling strategic network configuration, optimizing data center sizing, facilitating proactive decision-making for data center operations, but its applicability extends beyond these cases. These examples illustrate the practical value of the dataset in enhancing efficiency, reducing operational costs, and ensuring optimal performance within telecommunication data centers.

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