Toward a Cloud-Native Telecom Infrastructure: Analysis and Evaluations of Kubernetes Networking

Sekigawa, Shu; Sasaki, Chikara; Tagami, Atsushi

doi:10.1109/gcwkshps56602.2022.10008579

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Kubernetes is also responsible for managing the routing between microservices in the cluster. As our scheduling strategy is based on microservice replicas, we assume that Kubernetes manages the startup communication between replicas and reroutes traffic between the same replicas in case one of them fails, as suggested in [41]. As presented in Figure 2, every microservice runs in a container that is allocated in a pod within a cluster.…”

Section: Key Assumptions Of the Proposed Scheduling Strategymentioning

confidence: 99%

Optimizing Cloud Performance: A Microservice Scheduling Strategy for Enhanced Fault-Tolerance, Reduced Network Traffic, and Lower Latency

Alelyani,

Datta,

Hassan

2024

IEEE Access

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The emergence of microservice architecture has brought significant advancements in software development, offering improved scalability and availability of applications. Cloud computing benefits from microservice architecture by mitigating the risks of single failures and ensuring compliance with service-level agreements. However, using microservice architecture presents two challenges: 1) managing network traffic, which leads to latency and network congestion; and 2) inefficient resource allocation for microservices. Current approaches have limitations in addressing these challenges. To overcome these limitations, we propose a novel scheduling strategy that schedules microservice replicas using a modified particle swarm optimization algorithm to place them on the most suitable physical machine. Additionally, we balance the load across physical machines in the cluster using a simple round-robin algorithm. Furthermore, our scheduling strategy integrates with Kubernetes to tackle resource allocation and deployment challenges. The proposed strategy has been evaluated by simulating two scenarios using Alibaba and Google datasets. The experimental results demonstrate the effectiveness of our strategy in reducing traffic, balancing load, and utilizing CPU and memory efficiently.

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Section: Key Assumptions Of the Proposed Scheduling Strategymentioning

confidence: 99%

Optimizing Cloud Performance: A Microservice Scheduling Strategy for Enhanced Fault-Tolerance, Reduced Network Traffic, and Lower Latency

Alelyani,

Datta,

Hassan

2024

IEEE Access

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“…As evidenced by recent research [12][13][14] , telco operators embrace the agility, scalability, and container orchestration capabilities offered by Kubernetes. The paradigm of cloud-native telco infrastructures was adopted, and a dataset tailored to Kubernetes-based VIMs was devised.…”

Section: Workload Deploymentmentioning

confidence: 99%

Resource demands in telco data centers

Paranou,

Pentelas,

Doukas

et al. 2024

Sci Data

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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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“…Isso amplia ainda mais as oportunidades para a pesquisa e desenvolvimento em redes móveis de próxima geração. Essas implementações abertas associadas a tecnologias nativas da nuvem (cloud-native), como o Docker e Kubernetes, vem sendo gradualmente adotadas pela indústria de telecomunicações [Sekigawa et al 2022]. Elas desempenham um papel primordial na transformação das redes móveis, permitindo a virtualização e orquestração de recursos de rede de forma eficiente e escalável, o que é essencial para a revolução baseada em software que está ocorrendo nas redes móveis.…”

Section: Redes Móveis Programáveisunclassified

Desenvolvendo o Código da Internet do Futuro

Schaeffer-Filho,

Nobre,

Wickboldt

et al. 2023

Escola De Computação PPGC/UFRGS 50 Anos: Transformando Desafios Em Oportunidades Para O Futuro

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Research in computer networks in the 1970s and 1980s led to the emergence of the Internet, a significant technological achievement. It evolved from an academic network for simple text files exchanges into a multimedia platform that transformed global interaction and disrupted various industries. The Internet's success is attributed to robust technologies, but its inflexibility led to its "ossification." Network programmability, allowing software development on network devices, is revitalizing the Internet. This chapter explores this evolution, focusing on virtualization, network programming languages, monitoring, current challenges, and opportunities. ResumoClient check_lock _exist

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Toward a Cloud-Native Telecom Infrastructure: Analysis and Evaluations of Kubernetes Networking

Cited by 5 publications

References 9 publications

Optimizing Cloud Performance: A Microservice Scheduling Strategy for Enhanced Fault-Tolerance, Reduced Network Traffic, and Lower Latency

Optimizing Cloud Performance: A Microservice Scheduling Strategy for Enhanced Fault-Tolerance, Reduced Network Traffic, and Lower Latency

Resource demands in telco data centers

Desenvolvendo o Código da Internet do Futuro

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