Abstract

In recent years, the ever-increasing demand for networking resources and energy, fueled by the unprecedented upsurge in Internet traffic, has been a cause for concern for many service providers. Content caching, which serves user requests locally, is deemed to be an enabling technology in addressing the challenges offered by the phenomenal growth in Internet traffic. Conventionally, content caching is considered as a viable solution to alleviate the backhaul pressure. However, recently, many studies have reported energy cost reductions contributed by content caching in cache-equipped networks. The hypothesis is that caching shortens content delivery distance and eventually achieves significant reduction in transmission energy consumption. This has motivated us to conduct this study and in this article, a comprehensive survey of the state-of-the-art green caching techniques is provided. This review paper extensively discusses contributions of the existing studies on green caching. In addition, the study explores different cache-equipped network types, solution methods, and application scenarios. We categorically present that the optimal selection of the caching nodes, smart resource management, popular content selection, and renewable energy integration can substantially improve energy efficiency of the cache-equipped systems. In addition, based on the comprehensive analysis, we also highlight some potential research ideas relevant to green content caching.

Highlights

  • I N recent years, the advancements in smart hand-held devices, IoT applications, on-demand streaming services, and wireless data transfer [1]–[3] have resulted in a phenomenal growth in network traffic demand

  • We provide a detailed survey of the state-of-the-art caching strategies, which have been exploited to investigate the energy aspects of caching

  • We summarize the recent advancements in energy-aware network design and operation, including D2D caching systems, IoT data caching, software defined networking (SDN), and mobile edge computing (MEC) technologies

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Summary

INTRODUCTION

I N recent years, the advancements in smart hand-held devices, IoT applications, on-demand streaming services, and wireless data transfer [1]–[3] have resulted in a phenomenal growth in network traffic demand. This paradigm shift in communication technology is expected to support diverse applications, including online video streaming, smart homes, connected vehicles, smart cities, and machine to machine (M2M) communications [8]–[10] These applications require high data rates, improved quality of experience (QoE), low latency, longer battery lifespan, robust security protections, and optimal bandwidth utilization [2], [11]. Every single content object of the Internet traffic requires efficient processing, transmission, and dissemination resulting in excessive energy consumption. According to the existing studies [43], [44], the smart selection of content delivery paths and the activation of caching nodes based on network traffic demand exhibit considerable improvement in energy efficiency. Some studies [48]–[50] have investigated the trade-off analysis of the caching schemes based on energy consumption and network performance

Section 5: Optimal Content Placement and Resource Management
NOVELTY OF THIS WORK
11 Caching in ICNs
OPTIMAL CONTENT PLACEMENT AND RESOURCE MANAGEMENT
ENERGY-AWARE CACHING RESOURCE MANAGEMENT
GREEN TECHNIQUES COMBINING MOBILE EDGE COMPUTING AND CACHING
ACTIVATION OF CACHING UNITS BASED ON RENEWABLE ENERGY SUPPLY
FUTURE RESEARCH CHALLENGES
ADAPTIVE AND INTELLIGENT MANAGEMENT OF CACHING NODES
GREEN APPROACHES FOR SECURE D2D CACHING
GREEN CACHING FOR 5G APPLICATIONS
Findings
CONCLUSION
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