Human-Like Hybrid Caching in Software-Defined Edge Cloud

Hao, Yixue; Li, Miao; Wu, Di; Chen, Min; Hassan, Mohammad Mehedi; Fortino, Giancarlo

doi:10.1109/jiot.2019.2950688

Cited by 8 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mobile users can not only get services from nearby base stations, but also flexibly access the 5G network. Moreover, applying the combination architecture to 5G networks allow network programmers to customize the network behaviour and dynamically manage the network topology, without technologydependent implementation details [183][184][185].…”

Section: G Technologymentioning

confidence: 99%

“…The several technologies mentioned above can be well integrated with combination structures and promote each other. Besides, existing schemes of combination structures have been deployed in various network environments, such as IoV, smart grid, and satellite scenarios [193][194][195][196][197][198][199][200][201][202][203][204][205][206][207][208].…”

Section: Iot Technologymentioning

confidence: 99%

See 1 more Smart Citation

Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Ai,

Zhang,

Zhang

et al. 2023

IET Communications

View full text Add to dashboard Cite

As a promising architecture of next‐generation network, software defined‐information centric network (SD‐ICN) inherits the advantages of software defined network (SDN) and information‐centric network (ICN) to enable flexible and fast content retrieval, especially in the current era of artificial intelligence. However, the existing researches mainly focus on a single respective in this field, which motivates in comprehensively providing a forward‐looking guidance and development direction for scholars and engineers. To this end, the latest developments of SD‐ICN is presented. First, the widely‐accepted concepts and impacts on traditional networks are introduced. Second, the shortcomings of SDN and ICN over conventional networks are respectively analyzed to illustrate the necessity of SD‐ICN. Third, based on extensive analysis and deep deliberation, a methodical taxonomy for existing combination studies is proposed. They are divided into SDN over ICN, ICN over SDN, and mutual immersive pattern. Fourth, the performances of three integration categories are compared and the limitations of related works are highlighted. Fifth, the maturity index from six development indicators are evaluated. Further, the maturity and practicality of these schemes are generalized. Based on the above studies and comparisons, the lessons learned by SDN and ICN developments are concluded. Finally, future research directions and opportunities are discussed for the readers.

show abstract

Section: G Technologymentioning

confidence: 99%

Section: Iot Technologymentioning

confidence: 99%

Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Ai,

Zhang,

Zhang

et al. 2023

IET Communications

View full text Add to dashboard Cite

show abstract

“…One of the first ideas of seamlessly combining resources and services on a pathway from the edge to clouds appeared in 2019 (Hao et al, 2020). The authors compare their ideas to the fluid ecosystem in which services are federated and orchestrated on demand, with provisions for real time reaction to unexpected situations in data processing.…”

Section: Formulating the Problemmentioning

confidence: 99%

Creating Intelligent Computational Edge through Semantic Mediation

Juric,

Ronchieri,

Suh

2023

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

This paper proposes semantic mediation based on reasoning and the first order logic for mediating the best possible configuration of computational edge, relevant for software applications which may benefit for running computations with proximity to their data sources. The mediation considers the context in which these applications exist and exploits the semantic of that context for decision making on where computational elements should reside and which data they should use. The application of semantic mediation could address the initiative to accommodate algorithms from predictive and learning technologies, push AI towards computational edges and potentially contribute towards creating a computing continuum.

show abstract

“…The benefits of introducing caching in the edge networks are obvious but there are still many challenges that should be addressed, including the cache decision and cache replacement policy 15‐20 . First, the cache decision policy should ensure that the cached file will be repeatedly requested for the next period.…”

Section: Introductionmentioning

confidence: 99%

“…The centralized remote server evaluates these actions and feeds back the evaluation results to edge servers for subsequent caching actions optimization. Hao et al 19 proposed a human‐like hybrid caching architecture based on the software‐defined edge cloud and designed a human‐like hybrid caching algorithm. Human‐like hybrid caching architecture considers the content popularity and the fine‐grained user characteristics.…”

Section: Introductionmentioning

confidence: 99%

Value‐aware cache replacement in edge networks for Internet of Things

Peng

Wang

Liang

et al. 2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

With the development of Internet of Things (IoT), massive amounts of data will be brought. By offloading caching from the cloud to the edge, edge caching technology represents a promising solution in the era of IoT to meet the delay requirements of IoT applications. An efficient cache decision and replacement strategy on edge caching devices is a key factor in ensuring the cache hit ratio. The existing cache replacement policies do not comprehensively consider the characteristics of cache files and are likely to result in cache pollution problems. In order to cache data reasonably, to improve the cache hit ratio, and to reduce the user request delay, we propose a concept of file cache value and a file cache value‐aware cache replacement (FCVACR) algorithm of the edge cache system in this article. File cache value is associated with three aspects of cache file: the file size, the file popularity, and the time of requests. The proposed FCVACR algorithm adopts the file cache value method, improves the utilization of edge caching space, and reduces the content transmission delay. Experimental results show that the proposed FCVACR algorithm has a higher cache hit ratio and lower user request delay than the classical cache replacement algorithms.

show abstract

Human-Like Hybrid Caching in Software-Defined Edge Cloud

Cited by 8 publications

References 22 publications

Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Survey on the scheme evaluation, opportunities and challenges of software defined‐information centric network

Creating Intelligent Computational Edge through Semantic Mediation

Value‐aware cache replacement in edge networks for Internet of Things

Contact Info

Product

Resources

About