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Location-based and Time-aware Service Recommendation in Mobile Edge computing

INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING 2021年第5期49卷 715-731页

作者： Yu, Mengshan Fan, Guisheng Yu, Huiqun Chen, Liang East China Univ Sci & Technol Dept Comp Sci & Engn Shanghai Peoples R China Shanghai Key Lab Comp Software Evaluating & Testi Shanghai Peoples R China

With the rapid development of Internet of Things, mobile edge computing which provides physical resources closer to end users has gained considerable popularity in academic and industrial field. As the number of edge server increases, accessing effective edge services fast is an urgent problem to be solved. In this paper, we mainly focus on the cold-start problem for service recommendation based on location of users and services. Address this conundrum, we propose a service recommendation method based on collaborative filtering (CF) and location, by comprehensively considering the characteristic of services at the edge, mobility and demands of users at different time periods. In detail, we synthesize the service characteristics of each dimension in different time slices through multidimensional weighting method at first. Then We further introduce the idea of Inverse CF Rec to the traditional CF and predict the lost quality of service (QoS) to solve the problem of sparse data. Finally, a recommendation algorithm based on predicted QoS and user geographic location is proposed to recommend appropriate services to users. The experimental results show that our multidimensional inverse similarity recommendation algorithm based on time-aware collaborative filtering (MDITCF) outperforms Inverse CF Rec in terms of the accuracy of recommendation.

关键词： QoS Mobile edge computing Recommendation Time-aware Location

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Research on software Quality Evaluation for Application of Smart City 4

Research on Software Quality Evaluation for Application of S...

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4th International Conference on computer Science and Network Technology (ICCSNT)

作者： Liu, Zhenyu Cai, Lizhi Hu, Yun Shanghai Key Lab Comp Software Evaluating & Testi Shanghai Peoples R China

ISBN: (纸本)9781467381734

The smart city is developed to accessible wider range of interests in difference application. Our focus is quality evaluation on software application of smart city. The paper proposes an evaluation system for smart city, which focus on data, interface and corresponding applications. The specific quality model and related technology are proposed to various quality characters. The evaluator is not only to recognize the quality of application for smart city, but also to define the character to some extent. The quality evaluation has to support the typical software application and prove practicable by studying the specific cases.

关键词： smart city quality evaluation application quality

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A Novel Automated software Test Technology with Cloud Technology 11

A Novel Automated Software Test Technology with Cloud Techno...

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IEEE Int Conf on Ubiquitous Intelligence and computing (UIC) / 11th IEEE Int Conf on Autonomic and Trusted computing (ATC) / 14th IEEE Int Conf on Scalable computing and Communications (ScalCom)

作者： Liu, Zhenyu Chen, Mingang Cai, Lizhi Shanghai Key Lab Comp Software Evaluating & Testi Shanghai Peoples R China

ISBN: (纸本)9781479976461

This paper studies the software test with automated test tool under cloud environment. The automated software test technology could speed up the test efficiency and less down the work of test engineers. On the cloud technology, the automated test tool should make some modification to adapt for cloud. The paper proposes the test integrated technology with automated test tool on cloud-based environment. This technology connects cloud-based environment and the automated test tool. The fully test procedure also are proposed to support test design, script develop and script execute. The cloud technology is used to test some applications with the automated test tool and archive the expected outcome.

关键词： software test automated test test tool cloud computing

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Application Parallel Test with Parameter of High Performance computer

Application Parallel Test with Parameter of High Performance...

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14th IEEE International Conference on High Performance computing and Communications (HPCC) / IEEE 9th International Conference on Embedded software and Systems (ICESS)

作者： Liu, Zhenyu Cai, Lizhi Hu, Yun Shanghai Key Lab Comp Software Evaluating & Testi Shanghai Peoples R China

ISBN: (纸本)9780769547497

This paper studies the test and evaluation methods for parallel application in high-performance computers. The parallel performance of specific application could be attributed to its multiple application parameters. The basic test methods are proposed for application evaluation. The test results are analyzed to achieve application performance further. Finally, performance results are analyzed through parameter evaluation in parallel application performance testing.

关键词： Performance Test High Performace computer Test Evaluation

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Contract-Based Resource Sharing for Time Effective Task Scheduling in Fog-Cloud Environment

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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2020年第2期17卷 1040-1053页

作者： Sun, Huaiying Yu, Huiqun Fan, Guisheng East China Univ Sci & Technol Dept Comp Sci & Engn Shanghai 200237 Peoples R China Shanghai Key Lab Comp Software Evaluating & Testi Shanghai 201112 Peoples R China

Fog computing as an extension of the cloud based infrastructure, provides a better computing platform than cloud computing for mobile computing, Internet of Things, etc. One of the problems is how to make full use of the resources of the fog so that more requests of applications can be executed on the edge, reducing the pressure on the network and ensuring the time requirement of tasks. The high mobility of fog nodes also has a great impact on the task completion time and user satisfaction. Thus, a general IoT-Fog-Cloud computing architecture with a contract-based resource sharing mechanism is proposed in this paper. The contract establishment problem of resource sharing mechanism among fog clusters is modeled as a sealed-bid bilateral auction in order to take full advantage of the fog resources and ensure that more tasks could be executed on the fog. Then, we propose a scheduling method based on functional domain construction to mitigate the influence of mobility of fog nodes. It includes the selection of critical fog nodes and the construction of fog function domains based on spectral clustering. The selection of critical fog nodes is used to find the best fog nodes in each fog cluster with respect to the betweenness centrality, computing performance and communication delay to the IoT nodes. The critical nodes are responsible for building the functional domains of the remaining fog nodes in each fog cluster. Functional domain construction is used to determine the set of fog nodes contained in the corresponding functional domain. Finally, through extensive simulation experiments, the performance difference between the proposed method and the other four methods in terms of average service time, average utilization of fog nodes, success rate of tasks, average WLAN delay and the average cost of successful tasks are evaluated. Results show that our method generally outperforms the other four methods in these metrics.

关键词： Cloud computing Task analysis Resource management Edge computing computational modeling Delays Energy consumption IoT-fog-cloud time requirement resource sharing mobility contract establishment

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Learned Optimizer for Online Approximate Query Processing in Data Exploration

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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2024年第8期36卷 3977-3991页

作者： Liu, Liyuan Zhang, Hanbing Jing, Yinan He, Zhenying Zhang, Kai Wang, X. Sean Fudan Univ Sch Comp Sci Shanghai 200438 Peoples R China Fudan Univ Shanghai Key Lab Data Sci Shanghai 200438 Peoples R China Shanghai Key Lab Comp Software Evaluating & Testin Shanghai 200235 Peoples R China

In the interactive data exploration, approximate query processing (AQP) can be used to quickly return query results at the cost of accuracy. For online AQP, the sampler can be treated as an operator in the query plan. During the query optimization for AQP, heuristic rules are usually used to guide the sampler push-down. However, due to the complexity and changes of data distribution, the heuristic rule-based optimization methods cannot meet the users' query accuracy requirements. In this article, we propose a learning-based query optimization method for online AQP. We first introduce the weak equivalence concept and propose a series of push-down rules to guide the sampler push-down during the query optimization. Then, to enable more queries to meet the users' query accuracy requirements, we propose a deep learning model to further optimize the query plan. By using this model during each push-down process of the sampler, we try to avoid the negative effect of inappropriate sampler push-down on query accuracy, especially when there is an inconsistency between the underlying and intermediate data distribution. Extensive experiments show that the method proposed in this paper can outperform the state-of-the-art online sampling-based AQP method by 1.2X-7.9X in query accuracy.

关键词： Query processing Predictive models Deep learning Adaptation models Data models Sparks Optimization Approximate query processing (AQP) interactive data exploration sampling query optimization

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Modeling and quantitatively predicting software security based on stochastic Petri nets

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MATHEMATICAL AND compUTER MODELLING 2012年第1-2期55卷 102-112页

作者： Yang, Nianhua Yu, Huiqun Qian, Zhilin Sun, Hua E China Univ Sci & Technol Dept Comp Sci & Engn Shanghai 200237 Peoples R China Shanghai Key Lab Comp Software Evaluating & Testi Shanghai 201112 Peoples R China

To quantitatively predict software security in the design phase, hierarchical software security modeling and evaluation methods are proposed based on Stochastic Petri Nets (SPNs). Hierarchical methods mitigate the state-space explosion problem in SPNs. An isomorphic Markov Chain (MC) is obtained from the component SPN model. The security prediction value is calculated based on the probability distribution of the MC in the steady state. A sensitivity analysis method is proposed through evaluating the derivative of the security evaluation prediction equation. It provides a means to identify and trace back to the critical components for security enhancing. Security prediction and sensitivity analysis in the design phase provide the possibility to investigate and compare different solutions to the target system before realization. A case study shows the applicability and feasibility of our method. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Model Quantify software security Sensitivity analysis Hierarchical Stochastic Petri net

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Modeling UML sequence diagrams using extended Petri nets

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TELECOMMUNICATION SYSTEMS 2012年第2-3期51卷 147-158页

作者： Yang, Nianhua Yu, Huiqun Sun, Hua Qian, Zhilin E China Univ Sci & Technol Dept Comp Sci & Engn Shanghai 200237 Peoples R China Shanghai Key Lab Comp Software Evaluating & Testi Shanghai 201112 Peoples R China

Unified modeling language (UML) sequence diagrams combined with the UML profile for modeling and analysis of real-time and embedded (MARTE) systems are used to represent systems' requirements. To enhance formal analysis abilities, sequence diagrams annotated with MARTE stereotypes are mapped into timed colored Petri nets with inhibitor arcs (TCPNIA). The mapping rules for the fragments of sequence diagrams and MARTE stereotypes are proposed respectively. They are proposed both in graphical and formal forms. The soundness of mapping rules is analyzed. The data related issues are handled through colored properties in TCPNIA models, guard functions and operational functions. A mapping rule for state invariant is proposed based on data related information. Through state invariant, complicated control relations can be expressed. Formal definitions for morphing and substitution in TCPNIA models are given. They provide modular and hierarchical modeling methods for TCPINA models. To show the applicability and feasibility of our method, an application example in vehicular ad hoc networks (VANETs) domain is studied.

关键词： UML Sequence diagram MARTE Mapping rule Petri net

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Research and Practice on Performance Test of Call Center Platform System 3

Research and Practice on Performance Test of Call Center Pla...

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3rd Annual International Conference on Information System and Artificial Intelligence (ISAI)

作者： Song, Wei Du, Chunye Zhang, Chunliu Shanghai Key Lab Comp Software Evaluating & Testi 1588 Lianhang Rd Shanghai Peoples R China

Call center is more and more closely linked with people's daily life. This paper analyzes the three major problems of call center service (cask effect, avalanche effect, cumulative effect), introduces the call center platform performance testing strategy, and uses the Sprint and SilkPerformer testing tools to test the call center platform. The experimental results show that, through the implementation of performance testing, can predict the processing ability of the call center system in real environment, the system will advance the problems exposed, positioning help problem solution.

关键词： Ability testing

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Video Synopsis Based on Attention Mechanism and Local Transparent Processing

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IEEE ACCESS 2020年 8卷 92603-92614页

作者： Chen, Shengbo Liu, Xianrui Huang, Yiyong Zhou, Congcong Miao, Huaikou Shanghai Univ Sch Comp Engn & Sci Shanghai 200444 Peoples R China Shanghai Key Lab Comp Software Testing & Evaluati Shanghai 201112 Peoples R China

The increased number of video cameras makes an explosive growth in the amount of captured video, especially the increase of millions of surveillance cameras that operate 24 hours a day. Since video browsing and retrieval is time consuming, while video synopsis is one of the most effective ways for browsing and indexing such video that enables the review of hours of video in just minutes. How to generate the video synopsis and preserve the essential activities in the original video is still a costly and labor-intensive and time-intensive work. This paper proposes an approach to generating video synopsis with complete foreground and clearer trajectory of moving objects. Firstly, the one-stage CNN-based object detecting has been employed in object extraction and classification. Then, combining integrating the attention-RetinaNet with Local Transparency-Handling Collision (LTHC) algorithm is given out which results in the trajectory combination optimization and makes the trajectory of the moving object more clearly. Finally, the experiments show that the useful video information is fully retained in the result video, the detection accuracy is improved by 4.87% and the compression ratio reaches 4.94, but the reduction of detection time is not obvious.

关键词： Object detection Feature extraction Task analysis Trajectory Detectors Optimization methods Video synopsis attention mechanism transparency processing deep learning

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