2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)最新文献

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2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2022-12-16 DOI: 10.1109/glocom.2004.1378183

引用次数: 0

Next generation marine data networks in an IoT environment 物联网环境下的下一代海洋数据网络

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-06-15 DOI: 10.1109/FMEC.2017.7946407

Rabab Al-Zaidi, J. Woods, Mohammed Q. S. Al-Khalidi, K. Alheeti, K. Mcdonald-Maier

{"title":"Next generation marine data networks in an IoT environment","authors":"Rabab Al-Zaidi, J. Woods, Mohammed Q. S. Al-Khalidi, K. Alheeti, K. Mcdonald-Maier","doi":"10.1109/FMEC.2017.7946407","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946407","url":null,"abstract":"Packet data networks at sea offer the potential for increased safety, connectivity and meteorological data acquisition. Existing solutions including satellite communication are expensive and prohibitive to most small vessels. In this paper, an Internet of Things (IoT) application is proposed as a marine data acquisition and cartography system over Ship Ad-hoc Networks (SANET). Ships are proposed to communicate over Very High Frequency (VHF) which is already available on the majority of ships and are equipped with several sensors such as sea depth, temperature, wind speed and direction, etc. On shore, 5G base station nodes represent sinks for the collected data and are equipped with Mobile Edge Computing (MEC) capabilities for data aggregation and processing. The sensory data is ultimately aggregated at a central cloud on the internet to produce public up to date cartography systems. We discuss the deployment limitations and benefits of the proposed system and investigate it's performance using four different MANET routing protocols which are Ad hoc On-Demand Distance Vector (AODV), Ad hoc On-Demand Multipath Distance Vector (AOMDV), Destination-Sequenced Distance Vector (DSDV) and Dynamic Source Routing (DSR) protocols. Simulation results illustrate the efficiency of the proposed system with packet delivery rates of up to 60 percent at shore base stations.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133697345","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: 20

Towards the optimization of power and bandwidth consumption in mobile-cloud hybrid applications 在移动云混合应用中优化功耗和带宽消耗

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-06-15 DOI: 10.1109/FMEC.2017.7946433

Aamir Akbar, Peter R. Lewis

{"title":"Towards the optimization of power and bandwidth consumption in mobile-cloud hybrid applications","authors":"Aamir Akbar, Peter R. Lewis","doi":"10.1109/FMEC.2017.7946433","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946433","url":null,"abstract":"Mobile devices can now support a wide range of applications, many of which demand high computational power. Backed by the virtually unbounded resources of cloud computing, today's mobile-cloud (MC) computing can meet the demands of even the most computationally and resource intensive applications. However, many existing MC hybrid applications are inefficient in terms of achieving objectives like minimizing battery power consumption and network bandwidth usage, which form a tradeoff. To counter this problem we propose a technique that: 1) measures, at run time, how well the MC application meets these two objectives; and 2) allows arbitrary configurations to be applied to the MC application in order to optimize the efficiency tradeoff. Our experimental evaluation considers two MC hybrid applications. We modularized them first, based on computationally-intensive tasks, and then executed them using a simple MC framework while measuring the power and bandwidth consumption at run-time. Analysis of results shows that efficient configurations of the apps can be obtained in terms of minimizing the two objectives. However, there remain challenges such as scalability and automation of the process, which we discuss.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123991627","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

Multi-level security for the 5G/IoT ubiquitous network 5G/IoT泛在网络的多级安全

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946429

O. Salman, A. Kayssi, A. Chehab, I. Elhajj

引用次数: 10

Location-aware load prediction in Edge Data Centers 边缘数据中心的位置感知负载预测

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946403

Chanh Nguyen Le Tan, C. Klein, E. Elmroth

{"title":"Location-aware load prediction in Edge Data Centers","authors":"Chanh Nguyen Le Tan, C. Klein, E. Elmroth","doi":"10.1109/FMEC.2017.7946403","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946403","url":null,"abstract":"Mobile Edge Cloud (MEC) is a platform complementing traditional centralized clouds, consisting in moving computing and storage capacity closer to users - e.g., as Edge Data Centers (EDC) in base stations - in order to reduce application-level latency and network bandwidth. The bounded coverage radius of base station and limited capacity of each EDC intertwined with user mobility challenge the operator's ability to perform capacity adjustment and planning. To face this challenge, proactive resource provisioning can be performed. The resource usage in each EDC is estimated in advance, which is made available for the decision making to efficiently determine various management actions and ensure that EDCs persistently satisfies the Quality of Service (QoS), while maximizing resource utilization. In this paper, we propose location-aware load prediction. For each EDC, load is not only predicted using its own historical load time series - as done for centralized clouds - but also those of its neighbor EDCs. We employ Vector Autoregression Model (VAR) in which the correlation among adjacent EDCs load time series are exploited. We evaluate our approach using real world mobility traces to simulate load in each EDC and conduct various experiments to evaluate the proposed algorithm. Result shows that our proposed algorithm is able to achieve an average accuracy of up to 93% on EDCs with substantial average load, which slightly improves prediction by 4.3% compared to the state-of-the-art approach. Considering the expected scale of MEC, this translates to substantial cost savings e.g., servers can be shutdown without QoS violation.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115126391","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: 33

Smart Virtual eNB (SVeNB) for 5G mobile communication 5G移动通信的智能虚拟eNB (SVeNB)

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946413

F. Yaseen, N. Alkhalidi, H. Al-Raweshidy

引用次数: 2

A data protection model for fog computing 雾计算的数据保护模型

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946404

T. Dang, D. Hoang

{"title":"A data protection model for fog computing","authors":"T. Dang, D. Hoang","doi":"10.1109/FMEC.2017.7946404","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946404","url":null,"abstract":"Cloud computing has established itself as an alternative IT infrastructure and service model. However, as with all logically centralized resource and service provisioning infrastructures, cloud does not handle well local issues involving a large number of networked elements (IoTs) and it is not responsive enough for many applications that require immediate attention of a local controller. Fog computing preserves many benefits of cloud computing and it is also in a good position to address these local and performance issues because its resources and specific services are virtualized and located at the edge of the customer premise. However, data security is a critical challenge in fog computing especially when fog nodes and their data move frequently in its environment. This paper addresses the data protection and the performance issues by 1) proposing a Region-Based Trust-Aware (RBTA) model for trust translation among fog nodes of regions, 2) introducing a Fog-based Privacy-aware Role Based Access Control (FPRBAC) for access control at fog nodes, and 3) developing a mobility management service to handle changes of users and fog devices' locations. The implementation results demonstrate the feasibility and the efficiency of our proposed framework.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127527286","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: 65

Cognitive Edge Computing based resource allocation framework for Internet of Things 基于认知边缘计算的物联网资源分配框架

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946430

Anas Amjad, Fazle Rabby, S. Sadia, M. Patwary, E. Benkhelifa

{"title":"Cognitive Edge Computing based resource allocation framework for Internet of Things","authors":"Anas Amjad, Fazle Rabby, S. Sadia, M. Patwary, E. Benkhelifa","doi":"10.1109/FMEC.2017.7946430","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946430","url":null,"abstract":"Due to the inherent property of the processing resource request from mobile active or passive devices as part of internet of things (IoT), processing capacity as well as latency become major optimization criteria. To achieve overall optimized uses of cloud resources - having dynamic tracking, monitoring as well as orchestration framework is one of the key challenges to overcome. In the same context, enhanced uses of computing devices at distributed location is predicted to facilitate the success of IoT; subsequently the success of fifth generation (5G) of Wireless technologies. This opens enormous potential to integrate the unused resources of such distributed computed devices within the conventional cloudlet or cloud federation. However, this requires an efficient micro-level distributed computing resource tracking, monitoring and orchestration; where resources are distributed in geo-location as well as the availability of unused resources are time variant in nature. In this paper, we have proposed a cognitive edge-computing based framework solution for these requirements in order to achieve an efficient use of these distributed resources. This provides the end-user with a dynamic soft extension of computing facilities of cloudlet and cloud federation, as well as a revenue generation avenue to end-user. The simulation results show that such extension can be an exponential function of the number of local processing platforms agreed to participate in the proposed cognitive resource sharing.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134086696","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: 24

Fog computing through public-resource computing and storage 雾计算通过公共资源计算和存储

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946412

S. A. Monsalve, Félix García Carballeira, A. Calderón

{"title":"Fog computing through public-resource computing and storage","authors":"S. A. Monsalve, Félix García Carballeira, A. Calderón","doi":"10.1109/FMEC.2017.7946412","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946412","url":null,"abstract":"Fog computing is a model in which data and processing are concentrated on devices at the edge of the network, rather than almost entirely in the cloud. This new paradigm tries to solve the latency and bandwidth issues that the current cloud systems have to deal with, and also addresses the scalability problems caused by the exponential growth of the number of smart devices due to the success of the Internet of Things. In this paper we introduce the idea of using public-resource computing and storage techniques in order to process part of the workload of the current cloud systems so as to avoid saturating the cloud. This idea proposes the use of devices working as participants, which form a data center between the cloud service providers and the end-clients. A participant can be any type of device, from a traditional PC (Personal Computer), to a smartphone or tablet or even a smart TV. We have evaluated two different case studies by simulating the use of participating nodes in video-transfer applications. The results of the simulations demonstrate that public-resource computing and storage can be used to solve the latency and bandwidth issues that affect the current cloud systems. Therefore, our results represent a feasible solution for applications that process or store public data.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128035383","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: 28

Edge computing for interactive media and video streaming 用于交互式媒体和视频流的边缘计算

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946410

Kashif Bilal, A. Erbad

{"title":"Edge computing for interactive media and video streaming","authors":"Kashif Bilal, A. Erbad","doi":"10.1109/FMEC.2017.7946410","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946410","url":null,"abstract":"Video streaming and computer games are among the most popular and highest bandwidth consuming media in the Internet. Video contents consume around 70% of the total bandwidth usage in the Internet today. Advancements in media generation tools, high processing power, and high speed connectivity have enabled generation of live, interactive, multi-view media generation. Cognitive assisted and online multi-player gaming have unlocked new horizons for gaming experience. However, such interactive gaming, and multi-view and 360-degree view videos, are currently limited by delay intolerance and excessive bandwidth usage. Edge computing is the name of a set of new technologies, such as cloudlets, micro data centers, fog, and mobile edge computing. It aims to provide storage and computational resources near to user at the network edge, to minimize latency and response time. Edge computing is foreseen as a significant enabler of Internet of Every Thing (IoET) era by extending the cloud services and resources at the end of the network to deliver very low latency and real-time communication. It can provide significant services to video and gaming applications and enable new stream of interactive multimedia era. In this paper, we highlight some of the potentials and prospects of edge computing for interactive media, and present some preliminary works in the area. We shed light on how edge computing can be used to tackle various challenges faced by todays interactive media application. We also present the benefits of using edge computing to save cost, bandwidth, and energy in multimedia applications, video streaming, and transcoding.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130069998","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: 76