A review on green caching strategies for next generation communication networks

© 2020 IEEE. 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

On The Energy Consumption Computation in Content Delivery Networks

Data distribution via Content Delivery Networks (CDNs) is one of the most significant energy consuming sectors in the ICT area. A CDN system can be abstracted as a primary server housing the entire data set and several surrogate servers, each one caching a portion of the whole data set. We propose a new model to compute the total energy consumption of CDNs. The model is based on a hierarchical Internet representation, and includes the energy consumption needed to keep servers synchronized. We analyze the effect of synchronization and network topology on the total energy consumption of CDNs. Results reveal that increasing the number of surrogate servers reduces the transmission delay. However, this does not necessarily lead to a reduction of the total energy consumption. Furthermore, the effect of network topology and various caching strategies is described. Results show that CDN energy consumption strongly depends on the ratio between the number of content requests and content modifications, and considering a hierarchical network topology highlights slightly different energy consumption trends with respect to those of classical “flat” network representation

On The Energy Consumption Computation in Content Delivery Networks

Data distribution via Content Delivery Networks (CDNs) is one of the most significant energy consuming sectors in the ICT area. A CDN system can be abstracted as a primary server housing the entire data set and several surrogate servers, each one caching a portion of the whole data set. We propose a new model to compute the total energy consumption of CDNs. The model is based on a hierarchical Internet representation, and includes the energy consumption needed to keep servers synchronized. We analyze the effect of synchronization and network topology on the total energy consumption of CDNs. Results reveal that increasing the number of surrogate servers reduces the transmission delay. However, this does not necessarily lead to a reduction of the total energy consumption. Furthermore, the effect of network topology and various caching strategies is described. Results show that CDN energy consumption strongly depends on the ratio between the number of content requests and content modifications, and considering a hierarchical network topology highlights slightly different energy consumption trends with respect to those of classical "flat" network representation