JOURNAL ARTICLE

Multi-Request Data Cache Optimization Strategy in Edge Computing

Abstract

With the rapid growth in the number of mobile devices, more and more data is created and requested by users. By caching the data to the edge server, users can obtain the content they request in a closer place, which reduces the network load and improves the user experience. However, existing articles only focus on a single request of users, while users often request multiple content at one time, which leads to more complex caching scenarios. In this paper, we will study an edge data cache scenario with multiple requests, and design a cost function to optimize the cache results. In this paper, we formulate the data cache problem as a mixed integer programming problem and minimize our cost function. Extensive experiments are conducted on a real-world dataset that contains the locations of edge servers and mobile users, and the results reveal that our approach significantly outperform the baseline approaches.

Keywords:
Computer science Cache Server Cache algorithms Enhanced Data Rates for GSM Evolution Smart Cache Computer network Cache invalidation Mobile edge computing Integer programming Focus (optics) Function (biology) Edge computing Distributed computing CPU cache Algorithm

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
24
Refs
0.12
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems

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