Caching Policies for Transient Data

Fatale, Santosh; Prakash, Rudrabhotla Sri; Moharir, Sharayu

doi:10.1109/tcomm.2020.2987899

Cited by 8 publications

(1 citation statement)

References 15 publications

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“…The lifetime-based cooperative caching scheme (LCC) [33] takes into account only the content lifetime and the content request rate, while other essential parameters such as cache size and content size of IoT devices are ignored. A similar approach is followed in [40], providing insights into the content's popularity and residual lifetime (time remaining before the content becomes redundant); however, it disregards the cache size and content size parameters. Another study proposes a deep reinforcement learningbased approach [34] to solve the problem of caching IoT content at the edge without knowing the popularity of IoT content in the future, user request patterns, and other context characteristics based on the content metrics.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

PoSiF: A Transient Content Caching and Replacement Scheme for ICN-IoT

Dhawan,

Mazumdar,

Meena

2023

Wireless Communications and Mobile Computing

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Efficient data management plays a critical role in facilitating smooth communication and optimizing resource utilization within the rapidly growing ecosystem of the internet of things (IoT), which creates vast amounts of content. The emergence of Information-Centric Networking (ICN) has positioned it as a promising paradigm for facilitating IoT applications, as it prioritizes content-centric communication. This inherent characteristic of ICN has the potential to greatly improve the performance of IoT systems through the reduction of latency, conservation of network capacity, and enhancement of scalability. Existing research in this area focuses primarily on the popularity and freshness of the contents. However, they overlook the limited cache size of constraint devices, which should be utilized efficiently. This article presents a popularity, size, and freshness-based (PoSiF) transient content caching, and cache replacement scheme for ICN-enabled IoT devices. For content placement and replacement, the PoSiF scheme aims to enhance cache utilization through these three parameters while addressing the tradeoff between content size and popularity. The PoSiF technique demonstrates a significant enhancement in cache hit rates, with an improvement of 21.6% compared to the existing CCS/CES scheme, while effectively reducing hop ratios by 42.5%. On the other hand, cache replacement observes improved cache hits of 18% over least recently used (LRU) and 7.2% over least frequently used (LFU) while decreasing the average distance by 4.1% and 7.2%, respectively. While the retrieved freshness is 8.12% and 3.2% less than the LRU and LFU schemes, PoSiF compensates by satisfying more queries from cache-based content storage than the alternative methods.

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Section: Background and Literature Reviewmentioning

confidence: 99%

PoSiF: A Transient Content Caching and Replacement Scheme for ICN-IoT

Dhawan,

Mazumdar,

Meena

2023

Wireless Communications and Mobile Computing

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Edge Caching in IoT Smart Environments: Benefits, Challenges, and Research Perspectives Toward 6G

et al. 2022

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Transient Data Caching Based on Maximum Entropy Actor–Critic in Internet-of-Things Networks

Zhang,

Chen,

et al. 2024

Int J Comput Intell Syst

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With the rapid development of the Internet-of-Things (IoT), a massive amount of transient data is transmitted in edge networks. Transient data are highly time-sensitive, such as monitoring data generated by industrial devices. Due to their inefficiency, traditional caching strategies in edge networks are inadequate for handling transient data. Thus, to improve the efficiency of transient data caching, we construct a freshness model of transient data and propose a maximum entropy Actor–Critic-based caching strategy, TD-MEAC-which can improve the freshness of cached data and reduce the long-term caching cost. Simulation results show that the proposed TD-MEAC achieves a higher cache hit rate and maintains a higher average freshness of cached transient data compared with the existing DRL and baseline caching strategies.

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Caching Policies for Transient Data

Cited by 8 publications

References 15 publications

PoSiF: A Transient Content Caching and Replacement Scheme for ICN-IoT

PoSiF: A Transient Content Caching and Replacement Scheme for ICN-IoT

Edge Caching in IoT Smart Environments: Benefits, Challenges, and Research Perspectives Toward 6G

Transient Data Caching Based on Maximum Entropy Actor–Critic in Internet-of-Things Networks

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