2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)最新文献_第2页

From SMOG to Fog: A security perspective 从烟雾到雾:安全视角

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946408

Ruben Rios, R. Román, J. A. Onieva, Javier López

引用次数: 23

Cloud based intelligent extensible shared context services 基于云的智能可扩展共享上下文服务

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946420

Sufyan Almajali, D. E. D. I. Abou-Tair

引用次数: 3

Resource optimization in fog enabled IoT deployments 支持雾的物联网部署中的资源优化

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946400

Visali Mushunuri, A. Kattepur, H. Rath, Anantha Simha

{"title":"Resource optimization in fog enabled IoT deployments","authors":"Visali Mushunuri, A. Kattepur, H. Rath, Anantha Simha","doi":"10.1109/FMEC.2017.7946400","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946400","url":null,"abstract":"Internet of Things (IoT) devices are typically deployed in resource (energy, computational capacity) constrained environments. Connecting such devices to the cloud is not practical due to variable network behavior as well as high latency overheads. Fog computing refers to a scalable, distributed computing architecture which moves computational tasks closer to Edge devices or smart gateways. As an example of mobile IoT scenarios, in robotic deployments, computationally intensive tasks such as run time mapping may be performed on peer robots or smart gateways. Most of these computational tasks involve running optimization algorithms inside compute nodes at run time and taking rapid decisions based on results. In this paper, we incorporate optimization libraries within the Robot Operating System (ROS) deployed on robotic sensor-actuators. Using the ROS based simulation environment Gazebo, we demonstrate case-study scenarios for runtime optimization. The use of optimized distributed computations are shown to provide significant improvement in latency and battery saving for large computational loads. The possibility to perform run time optimization opens up a wide range of use-cases in mobile IoT deployments.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"16 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":"131154034","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: 19

A service orchestration architecture for Fog-enabled infrastructures 支持fog的基础设施的服务编排体系结构

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946419

Mathias Santos de Brito, S. Hoque, T. Magedanz, Ronald Steinke, A. Willner, Daniel Nehls, Oliver Keil, F. Schreiner

{"title":"A service orchestration architecture for Fog-enabled infrastructures","authors":"Mathias Santos de Brito, S. Hoque, T. Magedanz, Ronald Steinke, A. Willner, Daniel Nehls, Oliver Keil, F. Schreiner","doi":"10.1109/FMEC.2017.7946419","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946419","url":null,"abstract":"The development of Fog Computing technology is crucial to address the challenges to come with the mass adoption of Internet Of Things technology, where the generation of data tends to grow at an unprecedented pace. The technology brings computing power to the surrounds of devices, to offer local processing, filtering, storage and analysis of data and control over actuators. Orchestration is a requirement of Fog Computing technology to deliver services, based on the composition of microservices. It must take into consideration the heterogeneity of the IoT environment and device's capabilities and constraints. This heterogeneity requires a different approach for orchestration, be it regarding infrastructure management, node selection and/or service placement. Orchestrations shall be manually or automatically started through event triggers. Also, the Orchestrator must be flexible enough to work in a centralized or distributed fashion. Orchestration is still a hot topic and can be seen in different areas, especially in the Service Oriented Architectures, hardware virtualization, in the Cloud, and in Network Virtualization Function. However, the architecture of these solutions is not enough to handle Fog Requirements, specially Fog's heterogeneity, and dynamics. In this paper, we propose an architecture for Orchestration for the Fog Computing environment. We developed a prototype to prof some concepts. We discuss in this paper the implementation, and the tools chose, and their roles. We end the paper with a discussion on performance indicators and future direction on the evaluation of non-functional aspects of the Architecture.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"103 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":"116563415","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: 68

Cooperative load balancing scheme for edge computing resources 边缘计算资源协同负载均衡方案

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946414

R. Beraldi, Abderrahmen Mtibaa, H. Alnuweiri

引用次数: 77

Fog Function Virtualization: A flexible solution for IoT applications 雾功能虚拟化:物联网应用的灵活解决方案

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946411

Damian Roca, J. Quiroga, M. Valero, M. Nemirovsky

引用次数: 18

Cloud, fog and edge: Cooperation for the future? 云、雾和边缘:未来的合作?

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946409

Kay Bierzynski, Antonio Escobar, Matthias Eberl

引用次数: 61

Decentralized data offloading for mobile cloud computing based on game theory 基于博弈论的移动云计算分散数据卸载

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-08 DOI: 10.1109/FMEC.2017.7946402

Dongqing Liu, L. Khoukhi, A. Hafid

引用次数: 29

On consumable energy allocation frame-work with SWIPT for remotely located wireless node within internet of things 基于SWIPT的物联网远程无线节点耗电分配框架研究

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-01 DOI: 10.1109/FMEC.2017.7946431

A. ElSabaa, M. Patwary, E. Benkhelifa, A. Zaki, S. El-Khamy

引用次数: 1

Cloudlet solution for digital forensic investigation of multiple cases of multiple devices 针对多设备多案例的数字取证调查的Cloudlet解决方案

2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2017-05-01 DOI: 10.1109/FMEC.2017.7946437

Siyakha N. Mthunzi, E. Benkhelifa, Y. Jararweh, M. Al-Ayyoub

{"title":"Cloudlet solution for digital forensic investigation of multiple cases of multiple devices","authors":"Siyakha N. Mthunzi, E. Benkhelifa, Y. Jararweh, M. Al-Ayyoub","doi":"10.1109/FMEC.2017.7946437","DOIUrl":"https://doi.org/10.1109/FMEC.2017.7946437","url":null,"abstract":"Multiple device ownership exponentially increases the volume and variety of data, with detrimental implications to digital forensic investigations. Several authors have proposed data reduction approaches in attempts to enhance the data acquisition and processing phases of the investigation process. Other works have aimed to take advantage of cloud computing's seemingly unlimited resources to leverage investigations. However, such approaches inadvertently affect the credibility of forensic evidence and its admissibility in a court of law, and degrade the efficiency of forensic processes. In this paper, we propose a novel approach which leverages current processes by focusing on augmenting computational and latency capabilities. To achieve this, we motivate a cloudlet-based digital forensic (DF) approach to complement existing cloud computing systems. Based on their proximity to end-devices and remote DF investigation teams, our proposed solution effectively tackles low latency challenges present with the cloud alternative. In addition, configuring the cloudlet solution as the sole custodian of data counters ensures that investigators remain in control of their data, and hence can maintain a comprehensive evidence trail. Finally, have also proposed a cloudlet-based DF resource optimization approach to facilitate upward and downward scaling of resources to cope with a variety of data sizes, multiple devices, and concurrent multiple cases.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125471432","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: 4