Open AccessPosted Content
Latency Optimization for Resource Allocation in Mobile-Edge Computation Offloading
TLDR
In this article, the authors investigated the latency minimization problem in a multi-user time-division multiple access MEC system with joint communication and computation resource allocation, where three different computation models were studied, i.e., local compression, edge cloud compression, and partial compression offloading.Abstract:
By offloading intensive computation tasks to the edge cloud located at the cellular base stations, mobile-edge computation offloading (MECO) has been regarded as a promising means to accomplish the ambitious millisecond-scale end-to-end latency requirement of the fifth-generation networks. In this paper, we investigate the latency-minimization problem in a multi-user time-division multiple access MECO system with joint communication and computation resource allocation. Three different computation models are studied, i.e., local compression, edge cloud compression, and partial compression offloading. First, closed-form expressions of optimal resource allocation and minimum system delay for both local and edge cloud compression models are derived. Then, for the partial compression offloading model, we formulate a piecewise optimization problem and prove that the optimal data segmentation strategy has a piecewise structure. Based on this result, an optimal joint communication and computation resource allocation algorithm is developed. To gain more insights, we also analyze a specific scenario where communication resource is adequate while computation resource is limited. In this special case, the closed-form solution of the piecewise optimization problem can be derived. Our proposed algorithms are finally verified by numerical results, which show that the novel partial compression offloading model can significantly reduce the end-to-end latency.read more
Citations
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Posted Content
A Survey on Mobile Edge Computing: The Communication Perspective
TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management and recent standardization efforts on MEC are introduced.
Journal ArticleDOI
Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing
TL;DR: In this article, the authors investigated the beneficial role of RISs in MEC systems, where single-antenna devices may opt for offloading a fraction of their computational tasks to the edge computing node via a multi-ANTenna access point with the aid of an RIS.
Journal ArticleDOI
Collaborative Cloud and Edge Computing for Latency Minimization
TL;DR: This work investigates the collaboration between cloud computing and edge computing, where the tasks of mobile devices can be partially processed at the edge node and at the cloud server and obtains the closed-form computation resource allocation strategy by leveraging the convex optimization theory.
Journal ArticleDOI
Partial Offloading Scheduling and Power Allocation for Mobile Edge Computing Systems
TL;DR: This paper investigates the joint problem of partial offloading scheduling and resource allocation for MEC systems with multiple independent tasks, and proposes iterative algorithms for the joint issue of POSP.
Journal ArticleDOI
User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications
TL;DR: A virtual network resource management based on user behavior to further optimize the existing vehicle communications and ensemble learning is implemented in the proposed scheme to predict the user’s voice call duration and traffic usage for supporting user-centric mobile services optimization.
References
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Internet of Things (IoT): A vision, architectural elements, and future directions
TL;DR: In this article, the authors present a cloud centric vision for worldwide implementation of Internet of Things (IoT) and present a Cloud implementation using Aneka, which is based on interaction of private and public Clouds, and conclude their IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
Posted Content
A Survey on Mobile Edge Computing: The Communication Perspective
TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management and recent standardization efforts on MEC are introduced.
Book
Probability with martingales
TL;DR: A branching-process example and an easy strong law: product measure using martingale theory and the central limit theorem are presented.
Journal ArticleDOI
Fog and IoT: An Overview of Research Opportunities
Mung Chiang,Tao Zhang +1 more
TL;DR: This survey paper summarizes the opportunities and challenges of fog, focusing primarily in the networking context of IoT.