TC-CCS: A cooperative caching strategy in mobile transparent computing system

Song, Hong; Wang, Dacheng; Wang, Jianxin; Zhang, Wenhao

doi:10.1109/vcip.2017.8305120

Cited by 2 publications

(1 citation statement)

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“…In SRSM, the core management layer that consists of multi mobile agents can dynamically schedule and account for the resources and services to achieve efficient resource management. To accelerate the loading of resources from the TC server to mobile terminals and reduce the response time of software, Song et al [80] proposed a two-tiers collaborative caching scheme based on local devices. One is the local cache which was used for store personal user data, and the other was a P2P cache, which deposited softwares.…”

Section: ) Resource Virtualization and Management Layermentioning

confidence: 99%

Transparent Computing: Development and Current Status

et al. 2020

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Section: ) Resource Virtualization and Management Layermentioning

confidence: 99%

Transparent Computing: Development and Current Status

et al. 2020

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A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms

et al. 2019

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Sending data to the cloud for analysis was a prominent trend during the past decades, driving cloud computing as a dominant computing paradigm. However, the dramatically increasing number of devices and data traffic in the Internet-of-Things (IoT) era are posing significant burdens on the capacity-limited Internet and uncontrollable service delay. It becomes difficult to meet the delay-sensitive and context-aware service requirements of IoT applications by using cloud computing alone. Facing these challenges, computing paradigms are shifting from the centralized cloud computing to distributed edge computing. Several new computing paradigms, including Transparent Computing, Mobile Edge Computing, Fog Computing, and Cloudlet, have emerged to leverage the distributed resources at network edge to provide timely and context-aware services. By integrating end devices, edge servers, and cloud, they form a hierarchical IoT architecture, i.e., End-Edge-Cloud orchestrated architecture to improve the performance of IoT systems. This article presents a comprehensive survey of these emerging computing paradigms from the perspective of end-edge-cloud orchestration. Specifically, we first introduce and compare the architectures and characteristics of different computing paradigms. Then, a comprehensive survey is presented to discuss state-of-the-art research in terms of computation offloading, caching, security, and privacy. Finally, some potential research directions are envisioned for fostering continuous research efforts.

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TC-CCS: A cooperative caching strategy in mobile transparent computing system

Cited by 2 publications

References 5 publications

Transparent Computing: Development and Current Status

Transparent Computing: Development and Current Status

A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms

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