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2018 IEEE 7th International Conference on Cloud Networking (CloudNet)最新文献

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Dynamic Power Consumption Prediction and Optimization of Data Center by Using Deep Learning and Computational Fluid Dynamics 基于深度学习和计算流体动力学的数据中心动态功耗预测与优化
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549256
H. Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka
{"title":"Dynamic Power Consumption Prediction and Optimization of Data Center by Using Deep Learning and Computational Fluid Dynamics","authors":"H. Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda, Morito Matsuoka","doi":"10.1109/CloudNet.2018.8549256","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549256","url":null,"abstract":"Simply by using computational fluid dynamics (CFD) and a power consumption model incorporating each piece of equipment including servers and air conditioners, we built a power consumption simulator to predict the total power consumption of a data center that can have any device configuration, without having to learn the entire data center in advance. The error of the power consumption model built by this deep learning method was at most 8%. An algorithm with a data center optimizer (DCO) that incorporates the power consumption simulator found the optimum operation parameters of the air conditioners and optimum workload allocation that minimizes the total power consumption. In an actual implementation, the total power consumption fell within 1 second by 8% from the initial state with a uniform workload allocation. The DCO constructed in this research exhibited potential as a practical dynamic optimal task allocation management system for data centers of any size and make up and is applicable not only to dynamic migration within the data center but also to migration between data centers located at different sites.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"2015 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":"134102445","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
Intra-Node Resource Isolation for SFC with SR-IOV 基于SR-IOV的SFC节点内资源隔离
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549547
Simon Bauer, Daniel Raumer, Paul Emmerich, G. Carle
{"title":"Intra-Node Resource Isolation for SFC with SR-IOV","authors":"Simon Bauer, Daniel Raumer, Paul Emmerich, G. Carle","doi":"10.1109/CloudNet.2018.8549547","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549547","url":null,"abstract":"Single Root I/O Virtualization (SR-IOV) is intended to provide simultaneous native access to network interface cards (NIC) from multiple virtual machines or applications. For this, SR-IOV offloads packet switching from software to hardware. We use SR-IOV outside its original purpose and establish a chaining infrastructure between virtual Service Functions. Thus, resources to provide chaining are isolated by the NIC. We compare Service Function Chains based on SR-IOV to fully software-based Service Function Chains and survey how shifting workload from the CPU to the NIC affects performance. Furthermore, we analyze the impact of virtual PCIe functions, which are required for the use of SR-IOV, on performance. Our study provides a detailed performance evaluation of Service Function Chains implemented with Open vSwitch and DPDK. The performance evaluation is based on comparative measurements on commodity hardware including profiling of the CPU and PCIe bus. We model the resource constraints of both implementation approaches to specify performance bottlenecks and to determine a scenario's maximum throughput,","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"30 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113980986","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: 2
Optimization Model for Backup Resource Allocation in Middleboxes 中间件备份资源分配优化模型
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549318
Fujun He, Takehiro Sato, E. Oki
{"title":"Optimization Model for Backup Resource Allocation in Middleboxes","authors":"Fujun He, Takehiro Sato, E. Oki","doi":"10.1109/CloudNet.2018.8549318","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549318","url":null,"abstract":"Network function virtualization paradigm enables us to implement network functions provided in middleboxes as software which runs on commodity servers. This paper proposes a backup resource allocation model for middleboxes with considering failure probabilities of network functions and backup servers. Multiple backup servers, each of which is allowed to protect several functions, can be assigned to protect one function. When a function fails, one of the corresponding servers providing protection is required to recover it, if the function is protected by any server. We aim to find an assignment of servers to functions where the unavailability of the function that is in the worst case is minimized. We formulate the backup resource allocation problem as a mixed integer linear programming problem. We prove that the backup resource allocation problem is NP-complete by showing that the partition problem is reducible to it. A heuristic algorithm is introduced to solve the same optimization problem. We analyze the computational time complexity of the heuristic algorithm as a polynomial. We show the comparison results obtained by the heuristic algorithm and by solving the mixed integer linear programming problem in terms of deviation and computational time. The results reveal that the heuristic algorithm needs about 10•5 times computational time, compared to that of solving the mixed integer linear programming problem, to obtain a solution, where the worst unavailability over all the functions is about 1.6 times of the optimal value in average in our examined scenarios.","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":"128068071","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
Vehicle Control System for Cooperative Driving Coordinated Multi -Layered Edge Servers 协同驾驶多层边缘服务器车辆控制系统
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549396
Kengo Sasaki, S. Makido, A. Nakao
{"title":"Vehicle Control System for Cooperative Driving Coordinated Multi -Layered Edge Servers","authors":"Kengo Sasaki, S. Makido, A. Nakao","doi":"10.1109/CloudNet.2018.8549396","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549396","url":null,"abstract":"Cooperative driving, where multiple vehicles are remotely and automatically operated and controlled through low-latency communication, has caught much attention recently. To achieve cooperative driving systems, cloud-based and/or Mo-bile/Multi Access Edge Computing (MEC)-based vehicle control systems have been proposed. They have a trade-off between the feedback latency in terms of controlling and capacity defined as the number of vehicles for which the cloud or edge-server can accommodate sensor information via the network. To take advantage of both systems, we have proposed a vehicle control system corrdinated an Upper Edge Server (UpES) that has a large capacity and a Lower Edge Server (LoES) that executes remote control with low latency. The previous system, however, does not consider autonomous control by the vehicle. When burst packet loss occurs, the previous system collapses. Furthermore, the previous system cannot be sufficiently evaluated using actual latency information in the real world. In this paper, we propose the coordination of the previous system and autonomous control. By considering autonomous control, the proposed system achieves a more flexible deployment of edge servers than the previous system. To evaluate the proposed system, we simulate the control time ratio between autonomous and remote control using the measured latency between various cloud services and carriers. From the simulation, we show the following. Multi-layered edge servers are required for cooperative driving systems. Our proposed system can solve the trade-off among the capacity, number of required edge servers, and control time ratio.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"117 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":"116110360","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
The Joint Effect of MMT AL- FEC and Error Concealment on Video Streaming QoE MMT AL- FEC和错误隐藏对视频流QoE的联合影响
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549311
Toshiro Nunome
{"title":"The Joint Effect of MMT AL- FEC and Error Concealment on Video Streaming QoE","authors":"Toshiro Nunome","doi":"10.1109/CloudNet.2018.8549311","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549311","url":null,"abstract":"This paper deals with MMT (MPEG Media Transport), which is an application-level protocol for video transmission. We assess subjective QoE (Quality of Experience) and objective application-level QoS of video IP transmission with error concealment mechanisms of H.264/AVC and application-level forward error correction (AL-FEC) of MMT. In the experiment, we employ two contents, two types of the number of slices per picture frame, and two types of the total bitrate of video and its FEC code. We experiment with several load conditions. We then compare FEC schemes with three code rate values and no FEC scheme. From the assessment results, we show that the appropriate code rate for QoE enhancement depends on not only network conditions but also contents.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"9 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":"125447935","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
Virtual Network Function Placement Model for Service Chaining to Relax Visit Order and Routing Constraints 放宽访问顺序和路由限制的服务链虚拟网络功能安置模型
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549553
Naoki Hyodo, Takehiro Sato, R. Shinkuma, E. Oki
{"title":"Virtual Network Function Placement Model for Service Chaining to Relax Visit Order and Routing Constraints","authors":"Naoki Hyodo, Takehiro Sato, R. Shinkuma, E. Oki","doi":"10.1109/CloudNet.2018.8549553","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549553","url":null,"abstract":"Service chaining creates a desired service by the sequential concatenation of Virtual Network Functions (VNF). Relaxing the visit order constraints of requested VNFs and allowing the creation of loops in service chaining paths enable a reduction in the number of VNFs placed on the network. However, the problem of applying both techniques at the same time has never been studied. This paper proposes a VNF placement model that minimizes the costs associated with VNF placement and link utilization while supporting partially-ordered VNFs and service chaining paths with loops. We formulate the VNF placement model as an integer linear programming problem. Simulations quantitatively show that the proposed model reduces the cost compared to the conventional model.","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":"129734801","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
Peer-Assisted Content Delivery Network by Vehicular Micro Clouds 基于车载微云的对等辅助内容分发网络
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549196
Lewis Tseng, James DeAntonis, Takamasa Higuchi, O. Altintas
{"title":"Peer-Assisted Content Delivery Network by Vehicular Micro Clouds","authors":"Lewis Tseng, James DeAntonis, Takamasa Higuchi, O. Altintas","doi":"10.1109/CloudNet.2018.8549196","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549196","url":null,"abstract":"The demand on various forms of contents is rapidly increasing, even outgrowing the expansion of traditional Content Delivery Networks (CDNs). To address the issue, we propose a novel concept of vehicle-assisted CDNs, where a cluster of connected vehicles (i.e., vehicular micro clouds) serves as virtual content delivery servers. Our system provides guaranteed availability (in terms of mean time between failures) and optimizes the data storage workload of each vehicular micro cloud, which affects the content delivery performance.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"9 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":"127860389","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: 6
Cost Efficient VNF Placement with Optimization Problem for Security-Aware Virtual Networks 具有安全意识的虚拟网络中具有成本效益的VNF布局优化问题
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549271
Dhanu Dwiardhika, T. Tachibana
{"title":"Cost Efficient VNF Placement with Optimization Problem for Security-Aware Virtual Networks","authors":"Dhanu Dwiardhika, T. Tachibana","doi":"10.1109/CloudNet.2018.8549271","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549271","url":null,"abstract":"In this paper, we propose cost efficient VNF placement with optimization problem for embedding security-aware virtual networks. In this method, some VNFs are placed in order to increase the security level of virtual networks. Moreover, virtual networks are embedded and VNFs are placed with cost optimization. We evaluate the performance of the proposed method with simulation. In numerical examples, we show that virtual networks can be embedded based on security level with less resources by using the proposed method.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"125 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120835180","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: 6
Towards Autonomic Mobile Network Operators 走向自主移动网络运营商
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549552
F. Granelli, R. Bassoli
{"title":"Towards Autonomic Mobile Network Operators","authors":"F. Granelli, R. Bassoli","doi":"10.1109/CloudNet.2018.8549552","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549552","url":null,"abstract":"The vision of future fifth generation networks includes an entire ecosystem mainly composed by several different access technologies, virtualization and cloud/edge computing paradigms. Side by side, it also includes full deployment of machine learning for proactive network management and diagnosis. All those elements of such a complex system are used to host the huge variety of verticals the mobile network will have to support. These premises have enforced the idea that fifth generation will be the last one, while future modifications will just represent software/hardware upgrades of that complex ecosystem. This article envisions the realisation of autonomic mobile network operators as the main element, which will significantly change the intrinsic nature of networks, network operators and humans' role in mobile networks, to establish the actual change to a future generation. After presenting architecture and logical-functional structure of such autonomic operators, the paper shows a possible effective model of that future generation as autonomic multi-agent multi-layer system.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"10 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":"120966541","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: 0
Research on High-Fidelity Router Emulation Technologies Based on Cloud Platform 基于云平台的高保真路由器仿真技术研究
2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549512
Xiaofeng Wang, Mengdong Zhai, Guangjie Zhang
{"title":"Research on High-Fidelity Router Emulation Technologies Based on Cloud Platform","authors":"Xiaofeng Wang, Mengdong Zhai, Guangjie Zhang","doi":"10.1109/CloudNet.2018.8549512","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549512","url":null,"abstract":"A cloud platform that incorporates virtualization technologies, and SDN technologies has the advantages of strong scalability and a high fidelity of host node emulation. However, this type of cloud platform is not designed specifically for network emulation, and the shortcoming of low fidelity remains in router emulation. For this reason, based on the cloud platform, this paper combines virtualization technology with router software technology, proposes a programmable router emulation method that supports multiple routing protocols, and designs a highly realistic congestion control strategy emulation scheme. Experiments show that the proposed router emulation scheme can support the emulation of multiple routing protocols while maintaining high fidelity in virtual router congestion control.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"48 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":"123727806","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
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