Proceedings of the 2018 on Technologies for the Wireless Edge Workshop最新文献

Session details: Topics in Edge Computing 会议详细信息:边缘计算主题

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-10-01 DOI: 10.1145/3284815

N. Karamchandani

引用次数: 0

Employing MEC in the Cloud-RAN: An Experimental Analysis MEC在Cloud-RAN中的应用:实验分析

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-10-01 DOI: 10.1145/3266276.3266281

N. Makris, Virgilios Passas, T. Korakis, L. Tassiulas

引用次数: 9

Caching Policies for D2D-Assisted Content Delivery Systems d2d辅助内容交付系统的缓存策略

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-10-01 DOI: 10.1145/3266276.3266278

A. Mete, Sharayu Moharir

引用次数: 3

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop 2018年无线边缘技术研讨会论文集

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-10-01 DOI: 10.1145/3266276

引用次数: 0

Session details: Caching Networks 会话详细信息:缓存网络

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-10-01 DOI: 10.1145/3284813

Manjunath D.

引用次数: 0

TopK Ordering on Distributed Systems 分布式系统上的TopK排序

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-10-01 DOI: 10.1145/3266276.3266280

Prarthana, N. Karamchandani

引用次数: 1

Care to Share?: An Empirical Analysis of Capacity Enhancement by Sharing at the Edge 想分享吗?:基于边缘共享的产能提升实证分析

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-10-01 DOI: 10.1145/3266276.3266279

Aravindh Raman, Nishanth R. Sastry, N. Mokari, Mostafa Salehi, Tooba Faisal, Andrew Secker, Jigna Chandaria

{"title":"Care to Share?: An Empirical Analysis of Capacity Enhancement by Sharing at the Edge","authors":"Aravindh Raman, Nishanth R. Sastry, N. Mokari, Mostafa Salehi, Tooba Faisal, Andrew Secker, Jigna Chandaria","doi":"10.1145/3266276.3266279","DOIUrl":"https://doi.org/10.1145/3266276.3266279","url":null,"abstract":"The exponential growth in online content consumption is a key concern for designing future generation network architectures. In this paper, we use content access patterns from a large trace of content accesses comprising about half the population of United Kingdom to make the case that a large portion of the backhaul load can be mitigated by content sharing amongst edge devices. We explore various models for edge devices to store and share content amongst each other, ranging from reactive opportunistic sharing to predicting future content access and speculatively placing content on strategic devices prior to request. We analyse the performance of each of these models in terms of content placement and traffic savings, which are constrained by the storage available on edge devices, the performance of the speculation engine and the wireless channel conditions. We formulate and solve at scale an optimisation problem for strategically placing content for sharing within a geographically localised cell to show such an approach can save up to 47% of the traffic generated from a small cell.","PeriodicalId":365026,"journal":{"name":"Proceedings of the 2018 on Technologies for the Wireless Edge Workshop","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114618512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Session details: Mobile Edge Computing 会议详情:移动边缘计算

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-10-01 DOI: 10.1145/3284814

L. Tassiulas

引用次数: 0

Platforms for Advanced Wireless Research: Helping Define a New Edge Computing Paradigm 先进无线研究平台:帮助定义新的边缘计算范式

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-10-01 DOI: 10.1145/3266276.3266283

A. Gosain

{"title":"Platforms for Advanced Wireless Research: Helping Define a New Edge Computing Paradigm","authors":"A. Gosain","doi":"10.1145/3266276.3266283","DOIUrl":"https://doi.org/10.1145/3266276.3266283","url":null,"abstract":"The Platforms for Advanced Wireless Research (PAWR) program [1] aims to enable experimental wireless communications research across devices, communication techniques, networks, systems, and services conceived by the US academic and industrial wireless research community and deployed in partnership with local communities. PAWR seeks to accelerate the wireless innovation ecosystem, thereby enhancing broadband connectivity; enabling the emerging Internet of Things (IoT), edge computing and heterogeneous wireless connectivity technologies. Each research platform conceived under the PAWR program will enable at-scale experimentation by supporting the geographic size, technical diversity, and user density representative of a small city/community. From chipmakers to networking companies to software companies to application developers to vertical technology providers and users, the industry is devoting significant efforts to \"moving past science experiments\" into developing use cases for edge computing technologies. This calls for fundamental rethinking of computing and networking architectures that can disrupt existing business models and reshape industry landscapes. This talk details the edge computing ecosystem developed by the first two platforms; COSMOS [2] and POWDER [3]. We present the system architecture and components from radio clients, transport X-Haul, near edge cloud, and core cloud to rapidly develop and test Use-cases such as IoT Security via Edge AI, Smart City and Machine Vision, AR/VR and Automotive Edge (safety, navigation, automation + infotainment) on PAWR Platforms.","PeriodicalId":365026,"journal":{"name":"Proceedings of the 2018 on Technologies for the Wireless Edge Workshop","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125671450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge 移动边缘多目标资源共享与分配的博弈论方法

Proceedings of the 2018 on Technologies for the Wireless Edge Workshop Pub Date : 2018-08-21 DOI: 10.1145/3266276.3266277

Faheem Zafari, Jian Li, K. Leung, D. Towsley, A. Swami

{"title":"A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge","authors":"Faheem Zafari, Jian Li, K. Leung, D. Towsley, A. Swami","doi":"10.1145/3266276.3266277","DOIUrl":"https://doi.org/10.1145/3266276.3266277","url":null,"abstract":"Mobile edge computing seeks to provide resources to different delay-sensitive applications. However, allocating the limited edge resources to a number of applications is a challenging problem. To alleviate the resource scarcity problem, we propose sharing of resources among multiple edge computing service providers where each service provider has a particular utility to optimize. We model the resource allocation and sharing problem as a multi-objective optimization problem and present a Cooperative Game Theory (CGT) based framework, where each edge service provider first satisfies its native applications and then shares its remaining resources (if available) with users of other providers. Furthermore, we propose an ~O (N) algorithm that provides allocation decisions from the core, hence the obtained allocations are Pareto optimal and the grand coalition of all the service providers is stable. Experimental results show that our proposed resource allocation and sharing framework improves the utility of all the service providers compared with the case where the service providers are working alone (no resource sharing). Our ~O (N) algorithm reduces the time complexity of obtaining a solution from the core by as much as 71.67% when compared with the Shapley value.","PeriodicalId":365026,"journal":{"name":"Proceedings of the 2018 on Technologies for the Wireless Edge Workshop","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121807298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11