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International Conference on Computer Communications and Networks (ICCCN)

作者： Hao Wang Yangming Zhao Haibing Guan Shanghai Key Laboratory of Scalable Computing and Systems SJTU Shanghai P. R. China School of Communication and Information Engineering UESTC Chengdu P. R. China

This paper aims at systematically analyzing the pricing schemes in data center network. The interaction between a monopolistic operator and customers in the network is modeled as Stackelberg game. In this model, both homogeneous- and heterogeneous-customer scenarios are analyzed. In homogeneous customer case, a special scenario is that only a single customer exists in the network. In this scenario, we observe that the Stackelberg equilibrium will lead to a Pareto-inefficient outcome. To address this problem, a two-part pricing scheme is proposed to derive a Pareto efficient outcome and benefit both the operator and customers. When there are an infinite number of homogeneous customers in the network, our analysis shows that customers' selfish action may incur zero utility to them and operator can achieve all the utility by announcing an appropriate price. As to the heterogeneous customer case, we not only analyse how the operator should price the network resources, but also introduce Paris Metro Pricing (PMP) scheme to further increase operator's profit. Since the operator's profit is not a concave function of the resource price, these studies are conducted by simulation.

关键词： Quality of service Pricing Games Lead Equations Analytical models Economics

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Suspend-to-PCM: a new power-aware strategy for operating system's rapid suspend and resume

Suspend-to-PCM: a new power-aware strategy for operating sys...

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2012 International Conference on Emerging Technologies for Information systems, computing, and Management, ICM 2012

作者： Zi, Chenyang Zhang, Chao Lin, Qian Qi, Zhengwei Gao, Shang Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781461470090

Modern data centers provide good performance and many kinds of services accompanying considerable power consumption. Reducing power consumption becomes essential for decreasing the operating costs. Unlike conventional ways, authors propose the novel Suspend-to-PCM hibernation strategy to provide rapid suspending and resuming of the operating system (OS). Characterized by its low access latency and low energy consumption, Phase change memory (PCM) is a kind of non-volatile flash media. Strategy in the paper is to suspend OS from memory to PCM rather than disk, and vice versa for the resuming. Since PCM owns much better property of access speed and power utilization than traditional storage media, the Suspend-to-PCM strategy is able to achieve improved performance of system suspending and low power consumption. © 2013 Springer Science+Business Media New York.

关键词： Electric power utilization

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SAFE: A strategy-proof auction mechanism for multi-radio, multi-channel spectrum allocation

SAFE: A strategy-proof auction mechanism for multi-radio, mu...

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8th International Conference on Wireless Algorithms, systems, and Applications, WASA 2013

作者： Zhu, Ruihao Wu, Fan Chen, Guihai Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University China

ISBN: (纸本)9783642397004

The rapid growth of wireless technology has led to increasing demand for spectrum. In the past, spectrum is statically allocated. As a result, many wireless applications cannot use idle spectrum even though it is left unused by the owner for a long period of time. The low utilization of already scarce spectrum resource requires us to dynamically reallocate the idle spectrum to achieve better spectrum usage. In this paper, we model the problem of spectrum reallocation as a sealed-bid reserve auction, and propose SAFE, which is a Strategy-proof Auction mechanism For multi-radio, multi-channel spEctrum allocation. We prove the strategy-proofness of SAFE theoretically, and evaluate its performance extensively. Evaluation results show that SAFE achieve good performance, in terms of spectrum utilization and buyer satisfaction ratio. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Computers

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An automatical moderating system for FML using hashing regression

An automatical moderating system for FML using hashing regre...

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9th International Conference on Advanced Data Mining and Applications, ADMA 2013

作者： Zhang, Peichao Guo, Minyi Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9783642539169

In this paper we propose a novel machine learning application on a funny story sharing website for automatical moderation of newly submitted posts based on their content and metadata. This is a challenging task due to the limitation of a machine to understand a joke and the fact that the content of each post is quite short. We collect all the posts of the website using a web crawler, and then extract the features of the posts with the help of some natural language processing (NLP) tools. Finally we utilize a regression model based on approximate nearest neighbor (ANN) search to predict the number of votes for a given post to achieve the goal of determining its quality. Hashing techniques are used to address the curse of dimensionality issue and also for its fast query speed and low storage cost. The experiment shows that our system can achieve a satisfactory performance using various hashing methods. © 2013 Springer-Verlag.

关键词： Websites

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Collaborative topic regression with social regularization for tag recommendation

Collaborative topic regression with social regularization fo...

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Wang, Hao Chen, Binyi Li, Wu-Jun Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University China

ISBN: (纸本)9781577356332

Recently, tag recommendation (TR) has become a very hot research topic in data mining and related areas. However, neither co-occurrence based methods which only use the item-tag matrix nor content based methods which only use the item content information can achieve satisfactory performance in real TR applications. Hence, how to effectively combine the item-tag matrix, item content information, and other auxiliary information into the same recommendation framework is the key challenge for TR. In this paper, we first adapt the collaborative topic regression (CTR) model, which has been successfully applied for article recommendation, to combine both item-tag matrix and item content information for TR. Furthermore, by extending CTR we propose a novel hierarchical Bayesian model, called CTR with social regularization (CTR-SR), to seamlessly integrate the item-tag matrix, item content information, and social networks between items into the same principled model. Experiments on real data demonstrate the effectiveness of our proposed models.

关键词： Matrix algebra

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SMASHER: A Strategy-proof coMbinatorial Auction mechaniSm for Heterogeneous channel Redistribution 13

SMASHER: A Strategy-proof coMbinatorial Auction mechaniSm fo...

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14th ACM International Symposium on Mobile Ad Hoc Networking and computing, MobiHoc 2013

作者： Zheng, Zhenzhe Wu, Fan Chen, Guihai Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University China

ISBN: (纸本)9781450321938

Auction is believed to be an effective way to solve or relieve the problem of radio spectrum shortage, by dynamically redistributing idle wireless channels of primary users to secondary users. However, to design a practical channel auction mechanism, we have to consider five challenges, including strategy-proofness, channel spatial reusability, channel heterogeneity, bid diversity, and social welfare maximization. Unfortunately, none of the existing works fully considered the five design challenges. In this paper, we present the first in-depth study on the problem of dynamic channel redistribution by jointly considering the five design challenges, and present SMASHER, which is a Strategy-proof coMbinatorial Auction mechaniSm for Heterogeneous channel Redistribution. Our analyses show that SMASHER achieves both strategy-proofness and approximately efficient social welfare. Copyright 2013 ACM.

关键词： Reusability

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Online egocentric models for citation networks

Online egocentric models for citation networks

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Wang, Hao Li, Wu-Jun Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University China

ISBN: (纸本)9781577356332

With the emergence of large-scale evolving (timevarying) networks, dynamic network analysis (DNA) has become a very hot research topic in recent years. Although a lot of DNA methods have been proposed by researchers from different communities, most of them can only model snapshot data recorded at a very rough temporal granularity. Recently, some models have been proposed for DNA which can be used to model large-scale citation networks at a fine temporal granularity. However, they suffer from a significant decrease of accuracy over time because the learned parameters or node features are static (fixed) during the prediction process for evolving citation networks. In this paper, we propose a novel model, called online egocentric model (OEM), to learn time-varying parameters and node features for evolving citation networks. Experimental results on real-world citation networks show that our OEM can not only prevent the prediction accuracy from decreasing over time but also uncover the evolution of topics in citation networks.

关键词： DNA

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A generic tree-like index framework in the cloud

A generic tree-like index framework in the cloud

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14th International Conference on Web Information systems Engineering, WISE 2013

作者： Yin, Yue Yao, Bin Shen, Yao Guo, Minyi Xu, Changliang Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University China Alibaba Cloud Computing Company China

ISBN: (纸本)9783642412295

In this study, we present a novel tree based index scheme for efficient indexing and serving large datasets in the cloud. It incorporates and extends the functionality of Hadoop to create a fully parallel index system. Our new scheme can be summarized as follows. First, we leverage the MapReduce framework to create an index, then publish the index meta information and write it into a meta table. Second, we use the meta information to help the system adopting an efficient method to handle a given query. Finally, we optimize the system by using cache mechanism. We conduct extensive experiments on the Hadoop cluster to demonstrate the scalability, availability and efficiency of the proposed index framework. © 2013 Springer-Verlag.

关键词： Data warehouses

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Fuzzy clustering with multi-resolution bilateral filtering for medical image segmentation

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International Journal of Fuzzy System Applications 2013年第4期3卷 47-59页

作者： Xiao, Kai Li, Jianli Xiao, Shuangjiu Guan, Haibing Fang, Fang Hassanien, Aboul Ella School of Software Shanghai Jiaotong University Shanghai China Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science Shanghai Jiaotong University Shanghai China Shanghai First People's Hospital Shanghai China Department of Information Technology Cairo University Giza Cairo Egypt

Although fuzzy c-means (FCM) algorithm and some of its variants have been extensively widely used in unsupervised medical image segmentation applications in recent years, they more or less suffer from either noise sensitivity or loss of details, which always is a key point to medical image processing. This paper presents a novel FCM variation method that is suitable for medical image segmentation. The proposed method, typically by incorporating multi-resolution bilateral filter which is combined with wavelet thresholding, provides the following advantages: (1) it is less sensitive to both high- and low-frequency noise and removes spurious blobs and noisy spots, (2) it yields more homogeneous clustering regions, and (3) it preserves detail, thus significantly improving clustering performance. By the use of synthetic and multiple-feature magnetic resonance (MR) image data, the experimental results and quantitative analyses suggest that, compared to other fuzzy clustering algorithms, the proposed method further enhances the robustness to noisy images and capacity of detail preservation. Copyright © 2013, IGI Global.

关键词： Fuzzy clustering

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POVA: Traffic light sensing with probe vehicles

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IEEE Transactions on Parallel and Distributed systems 2013年第7期24卷 1390-1400页

作者： Zhu, Yanmin Liu, Xuemei Li, Minglu Zhang, Qian Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China Shanghai Key Lab of Scalable Computing and Systems Shanghai 200240 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

Traffic light sensing aims to detect the status of traffic lights which is valuable for many applications such as traffic management, traffic light optimization, and real-time vehicle navigation. In this work, we develop a system called POVA for traffic light sensing in large-scale urban areas. The system employs pervasive probe vehicles that just report real-time states of position and speed from time to time. POVA has advantages of wide coverage and low deployment cost. The important observation motivating the design of POVA is that a traffic light has a considerable impact on mobility of vehicles on the road attached to the traffic light. However, the system design faces three unique challenges: 1) Probe reports are by nature discrete while the goal of traffic light sensing is to determine the state of a traffic light at any time;2) there may be a very limited number of probe reports in a given duration for traffic light state estimation;and 3) a traffic light may change its state with a variable interval. To tackle the challenges, we develop a new technique that makes the best use of limited probe reports as well as statistical features of light states. It first estimates the state of a traffic light at the time instant of a report by applying maximum a posterior estimation. Then, we formulate the state estimation of a light at any time into a joint optimization problem that is solved by an efficient heuristic algorithm. We have implemented the system and tested it with a fleet of around 4,000 probe taxis and 2,000 buses in shanghai, China. Trace-driven experimentation and field study show that nearly 60 percent of traffic lights have an estimation error lower than 19 percent if 20,000 probe vehicles would be employed in the urban area of shanghai. We further demonstrate that the estimation error rate is as low as 18 percent even when the number of available reports is merely 1 per minute. © 2012 IEEE.

关键词： State estimation

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