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作者： Liao, Xiaofei Zheng, Long Zhang, Binsheng Zhang, Yu Jin, Hai Shi, Xuanhua Lin, Yi Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China College of Computer Science and Technology Civil Aviation University of China Tianjin300300 China

Fault tolerance in parallel computing becomes increasingly important with a significant rise in high-performance computing systems. Coordinated checkpointing and message logging protocols are commonly used fault tolerance mechanisms for message-passing applications. However, these mechanisms are insufficient because of their severe drawbacks. Hierarchical rollback-recovery protocols, combining coordinated checkpointing with message logging, are a better solution. However, such protocols may not obtain the appropriate efficiency because the communication pattern in different stages of applications may vary at runtime. In an effort to improve the efficiency of hierarchical rollback-recovery protocols, we propose a dynamic cluster strategy to adapt to the runtime variation of communication pattern by using a prediction scheme. Finally, the efficiency and scalability of the dynamic cluster strategy are evaluated using 2 static process partition algorithms on the High-Performance Linpack benchmark. © 2017 John Wiley & Sons, Ltd.

关键词： Message passing

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ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction 37

ES-Mask: Evolutionary Strip Mask for Explaining Time Series ...

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37th AAAI Conference on Artificial Intelligence, AAAI 2023

作者： Sun, Yifei Song, Cheng Lu, Feng Li, Wei Jin, Hai Zomaya, Albert Y. National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Centre for Distributed and High Performance Computing School of Computer Science University of Sydney Australia

ISBN: (纸本)9781577358800

Machine learning models are increasingly used in time series prediction with promising results. The model explanation of time series prediction falls behind the model development and makes less sense to users in understanding model decisions. This paper proposes ES-Mask, a post-hoc and model-agnostic evolutionary strip mask-based saliency approach for time series applications. ES-Mask designs the mask consisting of strips with the same salient value in consecutive time steps to produce binary and sustained feature importance scores over time for easy understanding and interpretation of time series. ES-Mask uses an evolutionary algorithm to search for the optimal mask by manipulating strips in rounds, thus is agnostic to models by involving no internal model states in the search. The initial experiments on MIMIC-III data set show that ES-Mask outperforms state-of-the-art methods. Copyright © 2023, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Time series

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A High-efficient inter-domain data transferring system for virtual machines 09

A High-efficient inter-domain data transferring system for v...

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3rd International Conference on Ubiquitous Information Management and Communication, ICUIMC'09

作者： Li, Dingding Jin, Hai Shao, Yingzhe Liao, Xiaofei Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781605584058

Virtual machine (VM) technologies are becoming more and more important among industrial and academic institutions with the decreasing cost of computer hardware. It can offer a lot of benefits including performance isolation, server consolidation, and live migration. However, the development of virtualization technology is preferred to application isolation as yet, thus the performance overheads of communicate between virtual machines which are resident on the same physical machine are relatively high. In network-intensive applications, such as Internet servers, are consolidated in a physical machine using VM technology, the inter-domain shared memory communication mechanisms is necessary. In other words, nearly all the virtual machine monitors are not very efficient in I/O performance to meet these applications' requirements. As a result, some scholars resort to inter-domain shared memory mechanisms to improve data transferring performance, but some of these solutions only provide one-way tunnel for domains to communicate with each other, and others are not network-bypass, which use the existing AF-INET protocol family, and incur unnecessary overhead brought by TCP/IP stack. In this paper, we present an inter-domain data transferring system, called IDTS, with dual-way tunnels and fully network-bypass features in Xen virtual machine environment. The design of IDTS is different from virtual network scheme in that IDTS uses static circular memory buffer shared between domains instead of the Xen page-flipping mechanism. In order to enable dual-way communication, IDTS provides two shared memory tunnels for co-resident domains to communicate with each other. Our evaluation demonstrates that IDTS can reduce inter-domain round trip latency by nearly a factor of 4, and increase bandwidth by approximately 5 times, and also keep high scalability, compared with traditional TCP/IP approach. Copyright 2009 ACM.

关键词： Virtual machine

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Yarqs: Yet another range queries schema in DHT based P2P network

Yarqs: Yet another range queries schema in DHT based P2P net...

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IEEE 9th International Conference on Computer and Information technology, CIT 2009

作者： Zhang, Hao Jin, Hai Zhang, Qin Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780769538365

Range query in DHT based P2P network is a hot topic in recent researches. The hashing function in DHT protocols makes the data hard to keep their original order relationship. Hence range queries for such networks become difficult. This paper presents the design of Yarqs - a new schema to achieve range queries in DHT based P2P networks. By using the inherent characteristics of DHT based networks, Yarqs catches the data pass the nodes and organizes them as a cache network. The range queries are deployed over the cache network. Yarqs does not change the design of the DHT overlay and builds the architecture for range queries by using the historical DHT queries data. Yarqs supports inherent load balancing. We also study the performance of Yarqs in evaluation section. The experiments to check the influences of different parameters of Yarqs are deployed and analyzed. © 2009 IEEE.

关键词： Peer to peer networks

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A Multi-Dimensional Assessment Model and Its Application in E-learning Courses of Computer Science 20

A Multi-Dimensional Assessment Model and Its Application in ...

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21st Annual Conference of the Special Interest Group in Information technology Education, SIGITE 2020

作者： Luo, Jiwen Lu, Feng Wang, Tao Key Lab. of Parallel and Distributed Computing College of Computer National University of Defense Technology Changsha China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781450370455

Computer science is a practical discipline. It is always a great challenge to evaluate students' computer practice using computer-aided means for large scale students. We always need to address problems such as suspected plagiarism and deviation of the overall difficulty factor. In this paper, a multi-dimensional assessment model is designed for CS courses based on the detailed practice processing data in an E-learning system. The model comprehensively evaluates the students' learning process and results in three aspects of correctness, originality, and quality detection. Besides, the teacher can easily participate in the assessment according to their needs. The correctness is an essential requirement, and the originality is based on the clustering results of students' behaviors after clone detection to curb homework plagiarism. SonarQube is used to detect code quality and put forward higher requirements for codes. Manual participation intelligence has improved the flexibility and applicability of the model to a certain extent. We applied this model on the EduCoder online education platform and carried out a comprehensive analysis of 485 students in the Parallel Programming Principles and Practice Class of Huazhong University of Science and technology. Experiment results confirm the distinction, rationality, and fairness of the model in assessing student performance. It not only gives students a credible, comprehensive score in large-scale online practical programming courses but also gives teachers and students corresponding suggestions based on the evaluation results. Furthermore, the model can be extended to other online education platforms. © 2020 ACM.

关键词： Students

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Autonomous Agent Based Intrusion Detection in Virtual computing Environment

Autonomous Agent Based Intrusion Detection in Virtual Comput...

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2010 IEEE International Conference Conferenhce on Wireless Communications,Networking and Information Security(2010 IEEE 无线通信、网络技术与信息安全国际会议 WCNIS)

作者： Feng Zhao Alex K. Ohoussou Deqing Zou Hai Jin Guofu Xiang Ge Cheng Cluster and Grid Computing Lab Services Computing Technology and System Lab Huazhong University of S Cluster and Grid Computing Lab Services Computing Technology and System Lab Huazhong University of S

One of the motivations for virtualization technology is the desire to develop new services to enhance system security without trusting both the applications and the operating systems. An intrusion detection system is an example of such service that can help to isolate users from malicious attacks. In this paper, we propose hybrid-based intrusion detection architecture in virtual computing environment to detect and isolate harmful behaviors by real-time monitoring and alarming. In contrast to monolithic intrusion detection system, we introduce autonomous agents, acting independently of each other, to monitor the system. The agents are deployed in virtual machines to analyze actions occurring on the network and inside the hosts to determine whether they are potential security violations or not. Our architecture is implemented based on Xen, and the detection management center is deployed in a secure virtual machine.

关键词： intrusion detection autonomous agent virtual computing environment

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An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy 22nd

An Efficient Graph Accelerator with Distributed On-Chip Mem...

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22nd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2022

作者： Zheng, Ran Jiang, Yingxin Wang, Yibo Su, Yongbo Zheng, Long Yao, Pengcheng Liao, Xiaofei Jin, Hai National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Zhejiang Lab Hangzhou311121 China

ISBN: (纸本)9783031226762

Graph processing has evolved and expanded swiftly with artificial intelligence and big data technology. High-Bandwidth Memory (HBM), which delivers terabyte-level memory bandwidth, has opened up new development possibilities for FPGA-based graph accelerators. However, despite the tremendous expansion of underlying hardware capabilities, existing graph accelerators have not benefited too much. In this paper, we observe that the uniformed on-chip memory hierarchy is the key to the low scalability of existing graph accelerators. We present a novel graph accelerator with a distributed on-chip memory hierarchy called GraphS. The on-chip memory of GraphS is divided into numerous tiny blocks, each of which is assigned to only one Processing Element (PE). Different PEs are connected through a scalable network-on-chip (NoC). For realistic graphs with power-law properties, a degree-aware preprocessing method is designed to balance the workload among different PEs. Our results with various graph algorithms demonstrate that GraphS can outperform state-of-the-art ForeGraph by up to 21.84 ×. © 2023, Springer Nature Switzerland AG.

关键词： Network-on-chip

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A novel VO-based access control model for grid*

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3rd International Conference on grid and Cooperative computing, GCC2004

作者： Qiang, Weizhong Jin, Hai Shi, Xuanhua Zou, Deqing Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)3540235647

As an important aspect of grid security, access control model gets more and more attention. Entities in virtual organizations (VOs) must establish a dynamic, secure and cooperative trust mechanism. This paper analyses the cross-organization, dynamic, cooperative and multilevel characteristics of access control problem in grid, and proposes a novel VO-based access control framework. The multilevel access control model is introduced for multilevel requirements and delegation concept is also introduced for permission delegation across organizations. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Access control models

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The theory of triangle Type-2 Fuzzy Sets

The theory of triangle Type-2 Fuzzy Sets

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IEEE 9th International Conference on Computer and Information technology, CIT 2009

作者： Lv, Zehua Jin, Hai Yuan, Pingpeng Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780769538365

Interval Type-2 Fuzzy Set is the most popular kind of Type-2 Fuzzy Set, its characteristic is that all the secondary membership functions equal to 1. Though Interval Type-2 Fuzzy Sets can reduce the calculation complexity than other Type-2 Fuzzy Sets, it loses much fuzzy information simultaneously. In order to solve this problem we propose a novel theory of Triangle Type-2 Fuzzy Sets, the formulas for union, intersection and complement of Triangle Type-2 Fuzzy Sets are derived and proven in detail. In addition, the relationship and the conversion between Triangle Type-2 Fuzzy Sets and Interval Type-2 Fuzzy Sets are discussed. © 2009 IEEE.

关键词： Membership functions

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Differentially Private Deep Learning with Iterative Gradient Descent Optimization

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ACM/IMS Transactions on Data Science 2021年第4期2卷 1–27页

作者： Ding, Xiaofeng Chen, Lin Zhou, Pan Jiang, Wenbin Jin, Hai National Engineering Research Center for Big Data Technology and System Lab Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China

Deep learning has achieved great success in various areas and its success is closely linked to the availability of massive data. But in general, a large dataset could include sensitive data and therefore the model should have the capability to avoid privacy leakage. To achieve this aim, many works apply the famous privacy framework named differential privacy into deep learning to preserve privacy. In this article, we propose a novel perturbed iterative gradient descent optimization (PIGDO) algorithm and prove that this algorithm satisfies the differential privacy. Besides, we propose a modified moments accountant (MMA) method to conduct the privacy analysis and obtain a tighter bound of privacy loss compared with the original moments accountant method. A number of experiments demonstrate that our optimization algorithm can not only improve the model accuracy and training speed, but also achieve better privacy guarantees over the state-of-the-art algorithm while reaching the equivalent accuracy. We provide codes for all of our experiments in https://***/CGCL-codes/***. © 2022 Association for computing Machinery.

关键词： Large dataset

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