{"title":"Elastic Channel Utilization Against External Radio Interference on SDN-Enabled Multi-Radio Wireless Backhaul Networks","authors":"Yuzo Taenaka, K. Tsukamoto","doi":"10.1109/CloudNet.2018.8549409","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549409","url":null,"abstract":"This paper tries to avoid a radio interference while effectively utilizing the resource of interfered channel on SDN-based wireless backhaul networks (WBNs). The densification of small cells on wireless networks is required to handle a lot of traffic for the cloud-based ICT services but inevitably needs a WBN to provide network connectivity at every cell. Since most traffic is delayed or dropped once a WBN suffers from a radio interference coming from outside of the WBN, it is general to avoid using the interfered channel or switch a route spatially. Although such countermeasures are effective to avoid an external radio interference, it could be less effective in terms of resource utilization because the interfered channel may still remain resource. From this perspective, we propose a method that estimates the residual resource of interfered channel and uses it as much as possible while avoiding the effect arising from the radio interference. Specifically, our proposed method uses the information about incoming/outgoing traffic to estimate the residual resource and migrate a part of traffic to another channel until the amount of incoming traffic and that of outgoing packets are balanced (i.e., the channel is not a bottleneck anymore). The experimental results showed that our method is able to estimate the residual resource of interfered channel and effectively use it even under external radio interference.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","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":"114969452","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":"TCP Fairness Among Modern TCP Congestion Control Algorithms Including TCP BBR","authors":"Kanon Sasaki, Masato Hanai, Kouto Miyazawa, A. Kobayashi, Naoki Oda, Saneyasu Yamaguchi","doi":"10.1109/CloudNet.2018.8549505","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549505","url":null,"abstract":"For improving communication performance, many fast TCP algorithms, e.g. CUBIC TCP and Compound TCP, have been proposed. These proposals have raised another issue that is performance fairness among TCP congestion control algorithms. Several papers were published for discussing the fairness and some of them revealed their unfairness. In addition, some fairness improving methods based on packet dropping, for example applying CoDel, have been proposed. However, these existing works were based on the existing TCP algorithms, which were loss-based, delay-based, or hybrid type TCP congestion control algorithm. In 2016, another TCP congestion control algorithm, called TCP BBR, was proposed. The algorithm is based on the congestion model by Kleinrock and not loss-based or delay-based. In this paper, we investigate the performance fairness between CUBIC TCP and TCP BBR. We present performance evaluation in conditions wherein connections of TCP BBR and CUBIC TCP are concurrently established. We then demonstrate that the performance fairness between TCP BBR and CUBIC TCP is very low, especially with high latency. In the case of 64 ms RTT, TCP BBR obtained about 45 times of performance of CUBIC TCP. We applied CoDel for improving TCP fairness and evaluated the fairness. Our evaluation showed that it did not work well in case of TCP BBR consumes much bandwidth. On the other hand, it is effective in case of TCP BBR cannot obtain enough throughput.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"36 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":"116644590","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":"Deep Learning-based Application Specific RAN Slicing for Mobile Networks","authors":"P. Du, A. Nakao","doi":"10.1109/CloudNet.2018.8549243","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549243","url":null,"abstract":"Effectively identifying application is desirable for network operators to improve spectrum efficiency and user experience in future mobile networks that are expected to support multiple kinds of applications with different quality of service (QoS) requirements. In this paper, we present a Radio Access Network (RAN) slicing architecture utilizing in-network deep learning to apply application specific radio spectrum scheduling. We use a small number of customized supervising phones to generate training data in real-time and apply deep learning at the packet gateway (P-GW), where we tag the downlink packets with the identified application name and transmit them to eNB for application specific spectrum scheduling. The preliminary experimental results show the feasibility and the efficiency of the proposed application specific RAN slicing.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"102 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":"124775183","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":"A Practical Implementation of In-Band Network Telemetry in Open vSwitch","authors":"Anton Gulenko, Marcel Wallschläger, O. Kao","doi":"10.1109/CloudNet.2018.8549431","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549431","url":null,"abstract":"Virtualized network infrastructures of cloud platforms are becoming increasingly complex and hard to manage and monitor for human administrators. Traditional network monitoring approaches like streaming telemetry or active probes are of limited applicability in highly virtualized environments and introduce unwanted overhead. The recent concept of In-Band Network Telemetry (INT) allows detailed observation of physical and virtual networking components exactly when real user traffic traverses them. This approach eliminates the need for artificial probing packets, allows data collection on the level of individual virtual bridge ports, and supports advanced applications like multipath reconstruction, detection of dead hops, and localization of latency bottlenecks. Our prototypical extension of the de-facto standard virtual switch Open vSwitch shows the low resource overhead of INT in an experimental evaluation.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"35 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":"114192236","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":"An Energy Efficient Non-Live Virtual Machine Migration","authors":"Tumentsatsral Badraa, K. Kinoshita","doi":"10.1109/CloudNet.2018.8549330","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549330","url":null,"abstract":"In recent years, network traffic growth leads to large consumption of energy in data centers. Researchers are looking to find effective solutions for virtual machine (VM) migration to reduce the energy consumption under given quality of service constraints. The most of research considered live VM migration to aim to shorten the average completion time, as that minimizes the power during VM migration. However, existing energy efficient VM migration methods do not consider energy consumption of the network devices during migration. In this paper, we propose to apply time-constrained file transfer method to energy efficient VM migration.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"21 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":"134167028","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}
Karyna Gogunska, C. Barakat, G. Urvoy-Keller, Dino Lopez Pacheco
{"title":"On the Cost of Measuring Traffic in a Virtualized Environment","authors":"Karyna Gogunska, C. Barakat, G. Urvoy-Keller, Dino Lopez Pacheco","doi":"10.1109/CloudNet.2018.8549537","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549537","url":null,"abstract":"The current trend in application development and deployment is to package applications and services within containers or virtual machines. This results in a blend of virtual and physical resources with complex network interconnection schemas mixing virtual and physical switches along with specific protocols to build virtual networks spanning over several servers. While the complexity of this set-up is hidden by private/public cloud management solutions, e.g. OpenStack, this new environment constitutes a challenge when it comes to monitor and debug performance related issues. In this paper, we introduce the problem of measuring traffic in a virtualized environment and focus on one typical scenario, namely virtual machines interconnected with a virtual switch. For this scenario, we assess the cost of continuously measuring the network traffic activity of the machines. Specifically, we seek to estimate the competition that exists to access the physical resources (e.g., CPU) of the physical server between the measurement task and the legacy application activity.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"90 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":"133661751","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}
Koichiro Amemiya, Yuko Akiyama, Kazunari Kobayashi, Yoshio Inoue, Shu Yamamoto, A. Nakao
{"title":"On-Site Evaluation of a Software Cellular Based MEC System with Downlink Slicing Technology","authors":"Koichiro Amemiya, Yuko Akiyama, Kazunari Kobayashi, Yoshio Inoue, Shu Yamamoto, A. Nakao","doi":"10.1109/CloudNet.2018.8549380","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549380","url":null,"abstract":"MEC (MobilelMulti-access Edge Computing) has recently caught much attention for processing data in the vicinity of user equipment (UE) to reduce latency for real-time applications. One of the challenges of MEC is to reduce the cost of deploying computational resources near the cellular base stations. Recently, software implementation of cellular base stations is emerging as it allows colocation of access point functionalities and those of MEC within the same commodity hardware, e.g., using containers, thus facilitates deployment of MEC without incurring much cost. In this paper, we posit that one of the most significant challenges for realizing softwarized base stations with MEC capability is to enable resource isolation among slices, especially isolating low latency slice as the primary concern of MEC is to enable low-latency application. Our contributions are threefold. First, we define the architecture of MEC infrastructure in softwarized cellular network. Second, we measure the actual latency and throughput of on-site MEC in a softwarized cellular network. And at last, we propose a novel slicing method for softwarized base stations to isolate a low latency slice from a broadband one. Our evaluation shows that the proposed method enables reasonable resource isolation, achieving the same minimal latency even with a competing broadband slice as that without any other slice.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"84 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":"133678062","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":"Efficient Content Sharing by Multiple Users with RAID Based Multi-Cloud Storages","authors":"Hiroyuki Sugino, Toshiki Nakano, S. Sugawara","doi":"10.1109/CloudNet.2018.8549497","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549497","url":null,"abstract":"In this paper, we proposed a content sharing method in multi-cloud environment, applying RAID technology and redundancy avoidance scheme, in order to reduce upload and download time. The effectiveness of the proposed method is evaluated by computer simulations, and the simulation result shows that the proposal is effective to almost the same extent or slightly better comparing with a conventional method, from the viewpoints of the consumption of storage capacity, upload and download time.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"1 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":"132434392","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":"Cloud Computing Model for Vehicular Ad hoc Networks","authors":"K. Qureshi, F. Bashir, Saleem Iqbal","doi":"10.1109/CloudNet.2018.8549536","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549536","url":null,"abstract":"Cloud computing has become a significant network access model due to its transparent and ubiquitous sharing environment with a large number of computing resources. Cloud computing services have the potential to improve vehicular network services through its flexible and valuable services. These cloud network services improve the performance of the vehicular application by advance communication, traffic management, standardization and safety systems. In vehicular ad hoc networks, vehicle nodes carry more information by adopting cloud computing services and improve their sensing power, storage capabilities, and onboard computing services. Vehicular cloud computing is one of the emerging solutions to address the vehicular networks communication barriers with new hybrid technologies and remarkable storage features for traffic management and road safety by instantly using vehicular resources. In this paper, we proposed a vehicular cloud computing model for vehicular ad hoc networks. This model provides computational services to vehicle nodes and improves the data communication and network performance. In addition, the paper also discusses the proposed model different services including data aggregation, security, privacy, and resource management. At last, the experimental results indicate the better performance of the proposed model in the network.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"113 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":"134471924","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":"Fog Computing Over Challenged Networks: A Real Case Evaluation","authors":"Gabriele Castellano, Fulvio Risso, Riccardo Loti","doi":"10.1109/CloudNet.2018.8549354","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549354","url":null,"abstract":"Fog computing enables a multitude of resource-constrained end devices (e.g., sensors and actuators) to benefit from the presence of fog nodes in their close vicinity, which can provide the required computing and storage facilities instead of relying on a distant Cloud infrastructure. However, guaranteeing stable communication between end devices and fog nodes is often not trivial. Indeed, in some application scenarios such as mining operations, building sites, precision agriculture, and more, communication occurs over Challenged Networks e.g., because of the absence of a fixed and reliable network infrastructure. This paper analyzes the applicability of Fog Computing in a real Industrial Internet of Things (IIoT) environment, providing an architecture that enables disruption-tolerant communication over Challenged Networks and evaluating the achieved performance on an open-source prototype implementation.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"34 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":"116809198","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}