Joint Service Caching and Task Offloading in Multi-Access Edge Computing: A QoE-Based Utility Optimization Approach

Pham, Xuan-Qui; Nguyen, Tien-Dung; Nguyen, VanDung; Huh, Eui‐Nam

doi:10.1109/lcomm.2020.3034668

Cited by 45 publications

(7 citation statements)

References 11 publications

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“…The emerging field of multi-access edge computing (MEC) presents a significant challenge in addressing the issues of combined service caching and task offloading. In response to this, the authors of [11] proposed an optimization-based approach that prioritized the quality of experience (QoE) for users by balancing the service latency and computing resource costs. Additionally, Named Data Networking (NDN) is gaining attention as a secure form of a sign-on protocol for smart homes, positioning it at the forefront of these next-generation internet architectures.…”

Section: Literature Reviewmentioning

confidence: 99%

Future Internet Architectures on an Emerging Scale—A Systematic Review

Mohammed

Ralescu

2023

Future Internet

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Future Internet is a general term that is used to refer to the study of new Internet architectures that emphasize the advancements that are paving the way for the next generation of internet. Today’s internet has become more complicated and arduous to manage due to its increased traffic. This traffic is a result of the transfer of 247 billion emails, the management of more than a billion websites and 735 active top-level domains, the viewing of at least one billion YouTube videos per day (which is the source of main traffic), and the uploading of more than 2.5 billion photos to Facebook every year. The internet was never anticipated to provide quality of service (QoS) support, but one can have a best effort service that provides support for video streams and downloaded media applications. Therefore, the future architecture of the internet becomes crucial. Furthermore, the internet as a service has witnessed many evolving conflicts among its stakeholders, leading to extensive research. This article presents a systematic review of the internet’s evolution and discusses the ongoing research efforts towards new internet architectures, as well as the challenges that are faced in increasing the network’s performance and quality. Moreover, as part of these anticipated future developments, this article draws attention to the Metaverse, which combines the emerging areas of augmented reality, virtual reality, mixed reality, and extended reality, and is considered to be the next frontier for the future internet. This article examines the key role of the blockchain in organizing and advancing the applications and services within the Metaverse. It also discusses the potential benefits and challenges of future internet research. Finally, the article outlines certain directions for future internet research, particularly in the context of utilizing blockchains in the Metaverse.

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Section: Literature Reviewmentioning

confidence: 99%

Future Internet Architectures on an Emerging Scale—A Systematic Review

Mohammed

Ralescu

2023

Future Internet

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“…The technical challenges and development directions of mobile edge cache were analyzed in [11]. In [12], Pham et al stored media data on edge servers to reduce data transmission delay and proposed an algorithm to increase the data hit rate. Wang et al [13] analyzed the current state of research on caching in edge computing and proposed a collaborative strategy for streaming media content in cloud-edge collaborative environment.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Streaming Transmission Optimization Method Based on Three-Dimensional Caching Architecture and Environment Awareness in High-Speed Rail

Guo,

Zhu,

Zhu

et al. 2023

Electronics

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In high-mobility scenarios, a user’s media experience is severely constrained by the difficulty of network channel prediction, the instability of network quality, and other problems caused by the user’s fast movement, frequent base station handovers, the Doppler effect, etc. To this end, this paper proposes a video adaptive transmission architecture based on three-dimensional caching. In the temporal dimension, video data are cached to different base stations, and in the spatial dimension video data are cached to base stations, high-speed trains, and clients, thus constructing a multilevel caching architecture based on spatio-temporal attributes. Then, this paper mathematically models the media stream transmission process and summarizes the optimization problems that need to be solved. To solve the optimization problem, this paper proposes three optimization algorithms, namely, the placement algorithm based on three-dimensional caching, the video content selection algorithm for caching, and the bitrate selection algorithm. Finally, this paper builds a simulation system, which shows that the scheme proposed in this paper is more suitable for high-speed mobile networks, with better and more stable performance.

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“…The maximum range of each D2D link was set as 50 m. There were 1000 different content files available for the MUs, the size of each content file being 10 MB. The maximum delay tolerance of each task was 1 s [51,52]. The latency of fetching content files between the central cloud and BS, the BS and MDs, and the D2D was randomly assigned in the ranges [100, 200] ms, [20,50] ms, and [5,10] ms, respectively [53].…”

Section: Simulation Settingsmentioning

confidence: 99%

DCEC: D2D-Enabled Cost-Aware Cooperative Caching in MEC Networks

Zhang

2023

Electronics

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Various kinds of powerful intelligent mobile devices (MDs) need to access multimedia content anytime and anywhere, which places enormous pressure on mobile wireless networks. Fetching content from remote sources may introduce overly long accessing delays, which will result in a poor quality of experience (QoE). In this article, we considered the advantages of combining mobile/multi-access edge computing (MEC) with device-to-device (D2D) technologies. We propose a D2D-enabled cooperative edge caching (DCEC) architecture to reduce the delay of accessing content. We designed the DCEC caching management scheme through the maximization of a monotone submodular function under matroid constraints. The DCEC scheme includes a proactive cache placement algorithm and a reactive cache replacement algorithm. Thus, we obtained an optimal content caching and content update, which minimized the average delay cost of fetching content files. Finally, simulations compared the DCEC network architecture with the MEC and D2D networks and the DCEC caching management scheme with the least-frequently used and least-recently used scheme. The numerical results verified that the proposed DCEC scheme was effective at improving the cache hit ratio and the average delay cost. Therefore, the users’ QoE was improved.

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Joint Service Caching and Task Offloading in Multi-Access Edge Computing: A QoE-Based Utility Optimization Approach

Cited by 45 publications

References 11 publications

Future Internet Architectures on an Emerging Scale—A Systematic Review

Future Internet Architectures on an Emerging Scale—A Systematic Review

Adaptive Streaming Transmission Optimization Method Based on Three-Dimensional Caching Architecture and Environment Awareness in High-Speed Rail

DCEC: D2D-Enabled Cost-Aware Cooperative Caching in MEC Networks

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