Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

RMBCC: A Replica Migration-Based Cooperative Caching Scheme for Information-Centric Networks

View through CrossRef
How to maximize the advantages of in-network caching under limited cache space has always been a key issue in information-centric networking (ICN). Replica placement strategies aim to fully utilize cache resources by optimizing the location and quantity distribution of replicas in the network, thereby improving the performance of the cache system. However, existing research primarily focuses on optimizing the placement of replicas along the content delivery path, which cannot avoid the inherent drawback of not being able to leverage off-path cache resources. The proposals for off-path caching cannot effectively solve this problem as they introduce excessive complexity and cooperation costs. In this paper, we address the trade-off between cache resource utilization and cooperation costs by introducing a mechanism complementary to replica placement. Instead of redesigning a new caching strategy from scratch, we propose a proactive cooperative caching mechanism (called RMBCC) that involves an independent replica migration process, through which we proactively relocate replicas evicted from the local cache to neighboring nodes with sufficient cache resources. The cooperation costs are effectively controlled through migration replica filtering, migration distance limitation, as well as hop-by-hop migration request propagation. Extensive simulation experiments show that RMBCC can be efficiently integrated with different on-path caching strategies. Compared with representative caching schemes, RMBCC achieves significant improvements in evaluation metrics such as cache hit ratio and content retrieval time, while only introducing negligible cooperation overhead.
Title: RMBCC: A Replica Migration-Based Cooperative Caching Scheme for Information-Centric Networks
Description:
How to maximize the advantages of in-network caching under limited cache space has always been a key issue in information-centric networking (ICN).
Replica placement strategies aim to fully utilize cache resources by optimizing the location and quantity distribution of replicas in the network, thereby improving the performance of the cache system.
However, existing research primarily focuses on optimizing the placement of replicas along the content delivery path, which cannot avoid the inherent drawback of not being able to leverage off-path cache resources.
The proposals for off-path caching cannot effectively solve this problem as they introduce excessive complexity and cooperation costs.
In this paper, we address the trade-off between cache resource utilization and cooperation costs by introducing a mechanism complementary to replica placement.
Instead of redesigning a new caching strategy from scratch, we propose a proactive cooperative caching mechanism (called RMBCC) that involves an independent replica migration process, through which we proactively relocate replicas evicted from the local cache to neighboring nodes with sufficient cache resources.
The cooperation costs are effectively controlled through migration replica filtering, migration distance limitation, as well as hop-by-hop migration request propagation.
Extensive simulation experiments show that RMBCC can be efficiently integrated with different on-path caching strategies.
Compared with representative caching schemes, RMBCC achieves significant improvements in evaluation metrics such as cache hit ratio and content retrieval time, while only introducing negligible cooperation overhead.

Related Results

Optimized content caching strategies for multi-access edge computing (MEC)-assisted future cellular networks
Optimized content caching strategies for multi-access edge computing (MEC)-assisted future cellular networks
(English) Handling the tsunami of multimedia content is a big challenge for heterogeneous cellular networks. Serving large volumes of content from the central system to end-users,...
Towards Intelligent Zone-Based Content Pre-Caching Approach in VANET for Congestion Control
Towards Intelligent Zone-Based Content Pre-Caching Approach in VANET for Congestion Control
In vehicular ad hoc networks (VANETs), content pre-caching is a significant technology that improves network performance and lowers network response delay. VANET faces network cong...
Rural-Urban Migration
Rural-Urban Migration
Rural-urban migration refers to the movement of people from rural to urban areas. Defining migration is not easy; the same can be said for “rural” and “urban.” All three of these c...
Feminisation of Migration; Historical Aspects, Contemporary Trends and Socio-economic Empowerment of Women
Feminisation of Migration; Historical Aspects, Contemporary Trends and Socio-economic Empowerment of Women
Migration is a multi-faceted experience with social, economic, and personal development opportunities. Gender-specific migration also has different dynamics. This paper explores th...
A Novel Cache Replacement Policy for Web Proxy Caching System Using Web Usage Mining
A Novel Cache Replacement Policy for Web Proxy Caching System Using Web Usage Mining
Network congestion remains one of the main barriers to the continuing success of the internet and Web based services. In this background, proxy caching is one of the most successfu...
Intelligent Caching for Mobile Video Streaming in Vehicular Networks with Deep Reinforcement Learning
Intelligent Caching for Mobile Video Streaming in Vehicular Networks with Deep Reinforcement Learning
Caching-enabled multi-access edge computing (MEC) has attracted wide attention to support future intelligent vehicular networks, especially for delivering high-definition videos in...
Joint caching and sleeping optimisation for D2D‐aided ultra‐dense network
Joint caching and sleeping optimisation for D2D‐aided ultra‐dense network
Device‐to‐device (D2D) communication provides the communication of the users in the vicinity and thereby decreases end‐to‐end delay and power consumption. More importantly, D2D com...
Optimal Video Caching at The Edge of Network by Using Machine Learning
Optimal Video Caching at The Edge of Network by Using Machine Learning
Abstract Efficiently managing network resources in the dynamic field of video-on-demand (VoD) services is a significant challenge. This requires creative methods to optimiz...

Back to Top