A caching mechanism based on data freshness

Takatsuka, Yasunari; Nagao, Hiroya; Yaguchi, Takashi; Hanai, Masahiro; Shudo, Kazuyuki

doi:10.1109/bigcomp.2016.7425940

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…However, there are no details provided about the experiment, the methodology, or the results and it lacks critical analysis and empirical evidence. Freshness Aware Reverse Proxy (FARP) caching scheme is presented in [36]. The scheme is based on data item freshness and access performance.…”

Section: Related Workmentioning

confidence: 99%

Dynamic and Energy Efficient Cache Scheduling Framework for IoMT over ICN

Alourani,

Sardaraz,

Tahir

et al. 2023

Applied Sciences

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The Internet of Medical Things (IoMT) is the network of medical devices, hardware infrastructure, and software applications used to connect the healthcare information technology. Massive traffic growth and user expectations cause challenges in the current exhausting models of IoMT data. To reduce the IoMT traffic, Information Centric Network (ICN) is a suitable technique. ICN uses persistent naming multicast communication that reduces the response time. ICN in IoMT provides a promising feature to reduce the overhead due to the distribution of commonly accessed contents. Some parameters such as energy consumption, communication cost, etc., influence the performance of sensors in the IoMT network. Excessive and unbalanced energy consumption degrades the network performance and lifetime. This article presents a framework called Dynamic Cache Scheme (DCS) that implements energy-efficient cache scheduling in IoMT over ICN to reduce network traffic. The proposed framework establishes a balance between the multi-hop traffic and data item freshness. The technique improves the freshness of data; thus, updated data are provided to the end-users via the effective utilization of caching in IoMT. The proposed framework is tested on important parameters, i.e., cache-hit-ratio, stretch, and content retrieval latency. The results obtained are compared with the state-of-the-art models. Results’ analysis shows that the proposed framework outperforms the compared models in terms of cache-hit-ratio, stretch, and content retrieval latency by 59.42%, 32.66%, and 18.8%, respectively. In the future, it is intended to explore the applicability of DCS in more scenarios and optimize further.

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Section: Related Workmentioning

confidence: 99%

Dynamic and Energy Efficient Cache Scheduling Framework for IoMT over ICN

Alourani,

Sardaraz,

Tahir

et al. 2023

Applied Sciences

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“…Cached content objects at the network nodes gradually become old, and the number of requests for these items decreases sharply [182]. Hence, content freshness plays a 1pivotal role in caching, and cache nodes require timely update to serve currently popular items.…”

Section: Energy-aware Caching Resource Managementmentioning

confidence: 99%

“…However, frequent upgrade causes additional overheads [183]. To accommodate the trade-off between data freshness and network performance, the authors in [182] switched cache status based on the load at the specific node. Banerjee and Biswash [183] considered the associated signal overheads and designed a mechanism to maintain the data freshness of an ICN.…”

Section: Energy-aware Caching Resource Managementmentioning

confidence: 99%

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A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

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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.

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“…Usually data blocks accessed by the user are not uniformly distributed over the set of data blocks outsourced at the server. The Zipf distribution is often used to model a non-uniform access to a database [42][43][44][45]. The Zipf distribution is also known as the 80:20 or 90:10 law.…”

Section: Path Oram Enhancementmentioning

confidence: 99%

Locality Aware Path ORAM: Implementation, Experimentation and Analytical Modeling

Al-Saleh

Belghith

2018

Computers

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In this paper, we propose an advanced implementation of Path ORAM to hide the access pattern to outsourced data into the cloud. This implementation takes advantage of eventual data locality and popularity by introducing a small amount of extra storage at the client side. Two replacement strategies are used to manage this extra storage (cache): the Least Recently Used (LRU) and the Least Frequently Used (LFU). Using the same test bed, conducted experiments clearly show the superiority of the advanced implementation compared to the traditional Path ORAM implementation, even for a small cache size and reduced data locality. We then present a mathematical model that provides closed form solutions when data requests follow a Zipf distribution with non-null parameter. This model is showed to have a small and acceptable relative error and is then well validated by the conducted experimental results.

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A caching mechanism based on data freshness

Cited by 5 publications

References 2 publications

Dynamic and Energy Efficient Cache Scheduling Framework for IoMT over ICN

Dynamic and Energy Efficient Cache Scheduling Framework for IoMT over ICN

A Review on Green Caching Strategies for Next Generation Communication Networks

Locality Aware Path ORAM: Implementation, Experimentation and Analytical Modeling

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