2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)最新文献_第5页

A measurement study on Skype voice and video calls in LTE networks on high speed rails 高速铁路LTE网络下Skype语音和视频通话的测量研究

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-14 DOI: 10.1109/IWQoS.2017.7969110

Li Li, Ke Xu, Dan Wang, Chunyi Peng, Kai Zheng, Haiyang Wang, Rashid Mijumbi, Xiangxiang Wang

{"title":"A measurement study on Skype voice and video calls in LTE networks on high speed rails","authors":"Li Li, Ke Xu, Dan Wang, Chunyi Peng, Kai Zheng, Haiyang Wang, Rashid Mijumbi, Xiangxiang Wang","doi":"10.1109/IWQoS.2017.7969110","DOIUrl":"https://doi.org/10.1109/IWQoS.2017.7969110","url":null,"abstract":"Recent advances in high speed rails (HSRs), coupled with user demands for communication on the move, are propelling the need for acceptable quality of communication services in high speed mobility scenarios. This calls for an evaluation of how well popular voice/video call applications, such as Skype, can perform in such scenarios. This paper presents the first comprehensive measurement study on Skype voice/video calls in LTE networks on HSRs with a peak speed of 310 km/h in China. We collected 50 GB of performance data, covering a total HSR distance of 39,900 km. We study various objective performance metrics (such as RTT, sending rate, call drop rate, etc.), as well as subjective metrics such as quality of experience of the calls. We also evaluate the efficiency of Skype's algorithms regarding the level of utilization of network resources. We observed that the quality of Skype calls degrades significantly on HSRs. Moreover, it was discovered that Skype significantly under-utilizes the network resources, such as available bandwidth. We discovered that the root of these inefficiencies is the poor adaptability of Skype in many aspects, including overlay routing, rate control, state update and call termination. These findings highlight the need to develop more adaptive voice/video call services for high speed mobility scenarios.","PeriodicalId":422861,"journal":{"name":"2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125494350","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: 9

Adaptive radio and transmission power selection for Internet of Things 物联网自适应无线电和发射功率选择

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-14 DOI: 10.1109/IWQoS.2017.7969111

Di Mu, Yunpeng Ge, M. Sha, Steve Paul, N. Ravichandra, Souma Chowdhury

引用次数: 14

A clustering-based approach for Virtual Network Function Mapping and Assigning 基于聚类的虚拟网络功能映射与分配方法

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-14 DOI: 10.1109/IWQoS.2017.7969143

Zenan Wang, Jiao Zhang, Tao Huang, Yun-jie Liu

{"title":"A clustering-based approach for Virtual Network Function Mapping and Assigning","authors":"Zenan Wang, Jiao Zhang, Tao Huang, Yun-jie Liu","doi":"10.1109/IWQoS.2017.7969143","DOIUrl":"https://doi.org/10.1109/IWQoS.2017.7969143","url":null,"abstract":"Network Function Virtualization has attracted attention from both academia and industry as it can help the service provider to obtain agility and flexibility in network service deployment. In general, the enterprises require their flows to pass through a specific sequence of virtual network function (VNF) that varies from service to service. In addition, for each VNF required in the coming service demands, the operator can either launch a new instance for it or assign it to an established instance. This makes the network service deployment tasks even more complicated. In this paper, we first propose a method based on min-K-cut to cluster the VNFs. With clustering results as guidance, we determine whether to launch or reuse the instance to improve utilization rate of the VNF instance. Furthermore, for purpose of decreasing link bandwidth occupation, we aggregate the instances that are deployed with VNFs from the same cluster into the same server or rack. We evaluate our approach considering the average link bandwidth occupied by every accepted demand, the instance utilization rate and the total number of served demands. The simulation shows that our approach reduces link occupation effectively, and, meanwhile, guarantees the VNF instance utilization rate advantageously.","PeriodicalId":422861,"journal":{"name":"2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116649238","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: 7

Failure Inference for shortening traffic Detours 缩短交通绕行的失效推理

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-14 DOI: 10.1109/IWQoS.2017.7969163

Anmin Xu, J. Bi, Baobao Zhang, Shuhe Wang, Jianping Wu

引用次数: 4

MUSA: Wi-Fi AP-assisted video prefetching via Tensor Learning MUSA:基于张量学习的Wi-Fi ap辅助视频预取

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-14 DOI: 10.1109/IWQoS.2017.7969173

Wen Hu, Jiahui Huang, Zhi Wang, Peng Wang, Kun Yi, Yonggang Wen, Kaiyan Chu, Lifeng Sun

{"title":"MUSA: Wi-Fi AP-assisted video prefetching via Tensor Learning","authors":"Wen Hu, Jiahui Huang, Zhi Wang, Peng Wang, Kun Yi, Yonggang Wen, Kaiyan Chu, Lifeng Sun","doi":"10.1109/IWQoS.2017.7969173","DOIUrl":"https://doi.org/10.1109/IWQoS.2017.7969173","url":null,"abstract":"Driven by the exponentially increasing amount of mobile video traffic, caching videos closer to the end users has become an appealing solution to reduce the traffic through the backbone network while improving users' perceived quality-of-experience (e.g., better video quality and reduced service delay). This research interest has been gaining lots of momentums due to the emergence of smart Access Points (APs), which are equipped with large storage space (several GBs). To address the “small population” problem involved in the prefetching at the edge, we propose to prefetch videos to APs ahead of users' requests via tensor learning: We first adopt the weighted tensor model to mine the hidden semantic pattern to characterize both users' preference for different types of videos and the dynamic video popularity over time; Then, based on the resulting low-dimension matrixes generated by the tensor factorization, we adopt an exponential smoothing model to capture the temporal pattern to predict users' propensity to unwatched videos; Finally, based on the predicted video popularity, we proactively replicate videos from the original CDN server to the APs at the edge. Through trace-driven simulations, we show that the proposed prefetching solution can outperform the baseline algorithms: compared with the SVD-based prefetching strategy, our design achieves a better hit ratio (e.g., surpassing about 10%) and accuracy (e.g., surpassing about 15%); compared with the history based strategy, our design also have about 40% (resp. 20%) improvement in terms of hit ratio (resp. accuracy).","PeriodicalId":422861,"journal":{"name":"2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111488","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: 5

Reinforcement learning-based adaptive resource management of differentiated services in geo-distributed data centers 基于强化学习的地理分布式数据中心差异化服务自适应资源管理

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-14 DOI: 10.1109/IWQoS.2017.7969161

Xiaojie Zhou, Kun Wang, Weijia Jia, M. Guo

{"title":"Reinforcement learning-based adaptive resource management of differentiated services in geo-distributed data centers","authors":"Xiaojie Zhou, Kun Wang, Weijia Jia, M. Guo","doi":"10.1109/IWQoS.2017.7969161","DOIUrl":"https://doi.org/10.1109/IWQoS.2017.7969161","url":null,"abstract":"For better service provision and utilization of renewable energy, Internet service providers have already built their data centers in geographically distributed locations. These companies balance quality of service (QoS) revenue and power consumption by migrating virtual machines (VMs) and allocating the resource of servers adaptively. However, existing approaches model the QoS revenue by service-level agreement (SLA) violation, and ignore the network communication cost and immigration time. In this paper, we propose a reinforcement learning-based adaptive resource management algorithm, which aims to get the balance between QoS revenue and power consumption. Our algorithm does not need to assume prior distribution of resource requirements, and is robust in actual workload. It outperforms other existing approaches in three aspects: 1) The QoS revenue is directly modeled by differentiated revenue of different tasks, instead of using SLA violation. 2) For geo-distributed data centers, the time spent on VM migration and network communication cost are taken into consideration. 3) The information storage and random action selection of reinforcement learning algorithms are optimized for rapid decision making. Experiments show that our proposed algorithm is more robust than the existing algorithms. Besides, the power consumption of our algorithm is around 13.3% and 9.6% better than the existing algorithms in non-differentiated and differentiated services.","PeriodicalId":422861,"journal":{"name":"2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126478200","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: 53

Root cause analysis of anomalies of multitier services in public clouds 公有云多层业务异常的根本原因分析

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-01 DOI: 10.1109/IWQoS.2017.7969155

Jianping Weng, Jessie Hui Wang, Jiahai Yang, Yang Yang

{"title":"Root cause analysis of anomalies of multitier services in public clouds","authors":"Jianping Weng, Jessie Hui Wang, Jiahai Yang, Yang Yang","doi":"10.1109/IWQoS.2017.7969155","DOIUrl":"https://doi.org/10.1109/IWQoS.2017.7969155","url":null,"abstract":"Anomalies of multitier services running in cloud platform can be caused by components of the same tenant or performance interference from other tenants. If the performance of a multitier service degrades, we need to find out the root causes precisely to recover the service as soon as possible. In this paper, we argue that cloud providers are in a better position than tenants to solve this problem, and the solution should be non-intrusive to tenants' services or applications. Based on these two considerations, we propose a solution for cloud providers to help tenants to localize root causes of any anomaly. We design a non-intrusive method to capture the dependency relationships of components, which improves the feasibility of root cause localization system. Our solution can find out root causes no matter they are in the same tenant as the anomaly or from other tenants. Our proposed two-step localization algorithm exploits measurement data of both application layer and underlay infrastructure and a random walk procedure to improve its accuracy. Our real-world experiments of a three-tier web application running in a small-scale cloud platform show a 38.9% improvement in mean average precision compared to current methods.","PeriodicalId":422861,"journal":{"name":"2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124290790","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: 30

Which DRM grade could BYOD users employ? A differentiated DRM service between the cloud and mobile devices BYOD用户可以使用哪个级别的DRM ?在云和移动设备之间提供差异化的DRM服务

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-01 DOI: 10.1109/IWQoS.2017.7969124

Jie Zhang, W. Lou

{"title":"Which DRM grade could BYOD users employ? A differentiated DRM service between the cloud and mobile devices","authors":"Jie Zhang, W. Lou","doi":"10.1109/IWQoS.2017.7969124","DOIUrl":"https://doi.org/10.1109/IWQoS.2017.7969124","url":null,"abstract":"The idea of employees leveraging their personal mobile devices for their work (Bring Your Own Device, or BYOD) is becoming increasingly popular in recent years. As BYOD users will use various digital goods (such as cloud services and mobile software) for their work and personal purposes via the same mobile devices, it brings serious security risks into both the cloud and mobile devices. Generally, the BYOD users would employ digital rights management (DRM) to control and manage the execution of digital goods. However, the security requirements for using the digital goods for work and personal tasks are very different, and conventional unified cloud-based DRM services lack the flexibility to satisfy the BYOD users' demands on diversified security levels. In this paper, we regard the security of digital goods as a metric to differentiate the DRM service into multiple grades. We propose a differentiated DRM service to increase the security flexibility of digital goods, which allows BYOD users to choose their preferred DRM grades to maximize their utility. Moreover, the differentiated DRM service can increase the benefit of service providers (SPs) even when the SPs competes with others, and thus, it becomes a dominant strategy for the SPs.","PeriodicalId":422861,"journal":{"name":"2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121872670","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

Fairness-aware dynamic rate control and flow scheduling for network function virtualization 面向网络功能虚拟化的公平感知动态速率控制和流量调度

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-01 DOI: 10.1109/IWQoS.2017.7969123

Sheng Tao, Lin Gu, Deze Zeng, Hai Jin, Kan Hu

引用次数: 7

A study on resource granularity of vEPC optimal resource assignment vEPC优化资源分配的资源粒度研究

2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS) Pub Date : 2017-06-01 DOI: 10.1109/IWQoS.2017.7969176

K. Tanabe, Hiroki Nakayama, Tsunemasa Hayashi, K. Yamaoka

引用次数: 3