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Resource demands in telco data centers.
Paranou, Dimitra; Pentelas, Angelos; Doukas, George; Chondralis, Konstantinos; Katsiros, Dimitris; Angelou, Evangelos; Anastopoulos, Nikos; Giannopoulos, Giorgos; Papastefanatos, George.
Afiliação
  • Paranou D; Athena Research Center, Information Management Systems Institute, Athens, Greece. dparanou@athenarc.gr.
  • Pentelas A; Intracom SA Telecom Solutions, Athens, Greece.
  • Doukas G; Intracom SA Telecom Solutions, Athens, Greece.
  • Chondralis K; Intracom SA Telecom Solutions, Athens, Greece.
  • Katsiros D; Athena Research Center, Information Management Systems Institute, Athens, Greece.
  • Angelou E; Intracom SA Telecom Solutions, Athens, Greece.
  • Anastopoulos N; Intracom SA Telecom Solutions, Athens, Greece.
  • Giannopoulos G; Athena Research Center, Information Management Systems Institute, Athens, Greece.
  • Papastefanatos G; Athena Research Center, Information Management Systems Institute, Athens, Greece.
Sci Data ; 11(1): 651, 2024 Jun 21.
Article em En | MEDLINE | ID: mdl-38906884
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.

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Grécia

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Grécia