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Hu et al., 2025 - Google Patents

LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent

Hu et al., 2025

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Document ID
17505416922734697124
Author
Hu K
Xu M
Ye K
Xu C
Publication year
Publication venue
Software: Practice and Experience

External Links

Snippet

Objective The microservices architecture has become a dominant paradigm in cloud computing due to its advantages in development, deployment, modularity, and scalability. Ensuring Quality of Service (QoS) through efficient Service Level Objective (SLO) resource …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F9/5061—Partitioning or combining of resources
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    • H04L41/14—Arrangements for maintenance or administration or management of packet switching networks involving network analysis or design, e.g. simulation, network model or planning

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