2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)最新文献

{"title":"A Software Architecture to enable Self-Organizing, Collaborative IoT Ressource Networks","authors":"T. Lewandowski, Dominic Henze, M. Sauer, J. Nickles, B. Bruegge","doi":"10.1109/FMEC49853.2020.9144772","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144772","url":null,"abstract":"Since recent years, the industrial world is facing a significant change from components and systems that are designed and configured for one well-analyzed scenario using well-established technologies to a demand for highly dynamic systems that continuously introduce the latest technologies and are capable of handling ever-changing use case environments. Thus, there is a need for new approaches on how to design and setup such systems. One of these approaches is Collaborative IoT, which focuses on researching the necessary designs, infrastructure, and technology to build ecosystems of loosely coupled, autonomous systems that interact in an ad-hoc fashion and establish service compositions and new distributed applications on demand. This paper presents a software architecture design for Industrial IoT systems to approach these targets as well as a reference implementation showing the feasibility of the architectural design in a Collaborative IoT smart factory scenario. The developed AiB architecture enables heterogeneous IoT systems to form task execution ecosystems that dynamically address new incoming tasks by creating service compositions across participating devices, which were not defined during design time.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133529941","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}

{"title":"Handover Scheme for 5G Communications on High Speed Trains","authors":"Rasha El Banna, H. Elattar, M. Aboul-Dahab","doi":"10.1109/FMEC49853.2020.9144880","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144880","url":null,"abstract":"In recent years, High-Speed Trains (HST) have been operating in many countries at a speed of 360 km/h or more. Nowadays, more high-speed trains are being deployed rapidly worldwide. Train passengers are extensively transferring data via mobile devices. It is necessary to assure the quality of experience for the users. Due to the high speed of the HST, handover (HO) takes place too frequently. The handover failures increase with the higher moving speed. This is one of the crucial problems facing communication systems in the high-speed environment, especially for real-time services. Thus, achieving seamless mobile connectivity on HST is a major challenge. A lot of research work was done to overcome the too frequent handover problem as well as the high probability of HO failure caused by the high speed of the train. However, further work is still needed. In this paper, we propose a multi Radio-Access-Technology (multi-RAT) hybrid handover 5G scheme to overcome this problem. It utilizes vertical and horizontal handovers simultaneously in a heterogeneous multi-RAT network. We integrate the dual-link scheme using two antennas mounted at the front and rear sides of the train. The 5G tier is implemented to achieve higher data rates and larger bandwidth. This wide bandwidth is a fundamental requirement for delivering multi-Gbps backhaul connectivity to hundreds of user equipment UEs on board. The system is designed such that the network would recognize the users who frequently visit the cell, defined as “user-friendly” for this cell. In high-speed trains, the trajectory and future position of trains are easily predictable. Keeping the records and tracking the movement information of the “user-friendly” will aid in selecting predefined HO locations where the HO criterion is met omitting the time to trigger (TTT) which causes a delay and Radio link failure. The results obtained indicate that the proposed method successfully overcame the previously mentioned problems. It decreased the probability of HO failure to a negligible value. Hence, preserving seamless connectivity in the high-speed environment.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116168833","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}

{"title":"Resource Allocation in Fog Computing: A Systematic Mapping Study","authors":"Imen Ben Lahmar, Khouloud Boukadi","doi":"10.1109/FMEC49853.2020.9144705","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144705","url":null,"abstract":"The Cloud computing has already proven its worth to manage the computational-intensive tasks of IoT applications. Despite its popularity, Cloud is not recommended for latency-critical applications due to the high latency added by network connections to datacenters and excessive dataflow that may congest the network. Towards this challenge, Fog computing was introduced to extend the computational capabilities of the Cloud computing and to improve the quality of service (QoS) of such latency-critical applications. Compared to Cloud datacenters, the Fog devices are highly dynamic and heterogeneous. One of the key challenging in running IoT application in Fog environment, is the resource allocation issue. This paper aims to review recent work related to resource allocation in Fog environment by applying a systematic mapping study methodology for a comprehensive overview on what has been investigated on resource allocation and what are the open issues to be addressed in the future.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124812798","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}

{"title":"HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems","authors":"A. Alwan, M. Ciupala, A. Baravalle, P. Falcarin","doi":"10.1109/FMEC49853.2020.9144751","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144751","url":null,"abstract":"Smart cities rely on large-scale heterogeneous distributed systems known as Cyber-Physical Systems (CPS). Information systems based on CPS typically analyse a massive amount of data collected from various data sources that operate under noisy and dynamic conditions. How to determine the quality and reliability of such data is an open research problem that concerns the overall system safety, reliability and security. Our research goal is to tackle the challenge of real-time data quality assessment for large-scale CPS applications with a hybrid anomaly detection system. In this paper we describe the architecture of HADES, our Hybrid Anomaly DEtection System for sensors data monitoring, storage, processing, analysis, and management. Such data will be filtered with correlation-based outlier detection techniques, and then processed by predictive analytics for anomaly detection.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116225384","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}

{"title":"EasyCloud: a Rule based Toolkit for Multi-platform Cloud/Edge Service Management","authors":"C. Anglano, M. Canonico, Marco Guazzone","doi":"10.1109/FMEC49853.2020.9144821","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144821","url":null,"abstract":"In order to satisfy the demand for collective and collaborative use of the various Cloud/Edge computing platforms available, the Cloud/Edge interoperability is necessary. Unfortunately, due to the specific solutions provided by the major Cloud/Edge providers, right now it is difficult to fully exploit different Clouds/Edges concurrently. In this paper, we aim to fill this gap by proposing EasyCloud, an easy and effective toolkit and user interface able to not only interact with multiple and different Cloud/Edge platforms at the same time but also to provide a rule-based engine where the user can specify what to do in real-time when the workload of the services running on the Clouds/Edges becomes underutilized (e.g., switch-off the service to save money) or overutilized (e.g., switch-on new computational resources to overcome the increased workload). EasyCloud is currently used by researchers, educators, and students with success and its source code is publicly available.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"33 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114025485","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}

{"title":"Leveraging Context-awareness to Better Support the IoT Cloud-Edge Continuum","authors":"Liliana Carvalho, D. M. A. Silva, Rute C. Sofia","doi":"10.1109/FMEC49853.2020.9144760","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144760","url":null,"abstract":"Novel Internet of Things (IoT) requirements derived from a broader interconnection of heterogeneous devices have pushed the horizons of Cloud computing and are giving rise to a wider decentralisation of applications and data centers. An answer to the underlying network concerns, such as the need to lower the resulting latency due to heavy computation needs, or safety aspects, gave rise to Edge/Fog computing, where IoT functionality can be also supported closer to data sources. While it is today feasible to perform some IoT functionality on the Edge, the orchestration of operations between Edge and Cloud requires an automated support, where context-awareness plays a key role in assisting the network in deciding when and where to store data and to perform computation. This work is focused on the application of context-awareness to support a smoother operation of the Edge to Cloud operation, aiming at lowering latency, in particular when real-time or close-to-real-time data exchange is present.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"91 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129905921","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}