Analysis of Compute-Storage Network Fusion Architecture Oriented Towards Service Priority Scheduling

As an innovative technical architecture, compute-storage network fusion has become a research focus by integrating various resources to provide efficient services for service applications. The article focuses on how to reasonably allocate and schedule resources to enhance system performance and efficiency, especially in the face of diverse application scenarios and complex service demands. We propose a compute-storage network fusion architecture oriented towards service priority scheduling, aiming to achieve rapid response and efficient processing of service to meet the needs of different priority service requests. This article discusses the current situation of the rapid increase in data volume and the growing demand for computing, storage, and network resources in the context of the rapid development of information technology.

Authors

Institutions

Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733016
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Compute-Storage Network Fusion Architecture Oriented Towards Service Priority Scheduling

Yaping Cao, Songqi Tian, Ying Sun, Feifei Wang
Distributed and Parallel Computing Systems
article

Analysis of Compute-Storage Network Fusion Architecture Oriented Towards Service Priority Scheduling

Yaping Cao, Songqi Tian, Ying Sun, Feifei Wang
article en

Abstract

As an innovative technical architecture, compute-storage network fusion has become a research focus by integrating various resources to provide efficient services for service applications. The article focuses on how to reasonably allocate and schedule resources to enhance system performance and efficiency, especially in the face of diverse application scenarios and complex service demands. We propose a compute-storage network fusion architecture oriented towards service priority scheduling, aiming to achieve rapid response and efficient processing of service to meet the needs of different priority service requests. This article discusses the current situation of the rapid increase in data volume and the growing demand for computing, storage, and network resources in the context of the rapid development of information technology.

China Telecom (China) (CN), China Telecom (CN)
Openalex Percentile: Top 78%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.