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IEEE Vehicular Technology Conference

作者： Kasparick, Martin Gladisch, Alexander Daher, Robil Krohn, Martin Tavangarian, Djamshid Department of Computer Architecture Institute of Computer Science University of Rostock Germany

ISBN: (纸本)9781424483310

Wireless network infrastructures such as Wireless Mesh Networks (WMNs) are increasingly applied for various applications. Increasing complexity concerning configuration, organization, management and maintenance is a major issue in WMNs. Self-X has been recognized as a key feature to address and overcome this complexity problem. Despite the demand on evaluating WMNs in terms of Self-X capabilities, we did not find in literature any evaluation model that can be applied on WMNs. In this paper, we propose a novel model to evaluate the Self-X capabilities of WMNs. In our model, we develop three "performance functions" which include major system properties: autonomy, availability, and Quality of Service (QoS) in general. In addition, we define "acceptance criteria" for those "performance functions" which are necessary to show if the WMN performs acceptably well. The proof of concept shows more practically that combining performance functions and acceptance criteria enable evaluating a WMN concerning Self-X capabilities. © 2011 IEEE.

关键词： Quality of service

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2025年 14784 LNCS卷 v页

作者： Bai, Guangdong Ishikawa, Fuyuki Aït-Ameur, Yamine Papadopoulos, George A. School of Electrical Engineering and Computer Science Faculty of Engineering Architecture and Information Technology University of Queensland BrisbaneQLD Australia Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Chiyoda-ku Japan IRIT University of Toulouse Toulouse France Department of Computer Science University of Cyprus Nicosia Cyprus

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Theoretical Treatment of Target Coverage in Wireless Sensor Networks

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Journal of computer science & Technology 2011年第1期26卷 117-129页

作者：谷雨赵保华计宇生李颉 School of Computer Science University of Science and Technology of China State Key Laboratory of Networking and Switching Technology Information Systems Architecture Science Research Division National Institute of InformaticsTokyoJapan Department of Computer Science University of TsukubaTsukuba Science CityIbarakiJapan

The target coverage is an important yet challenging problem in wireless sensor networks, especially when both coverage and energy constraints should be taken into account. Due to its nonlinear nature, previous studies of this problem have mainly focused on heuristic algorithms; the theoretical bound remains unknown. Moreover, the most popular method used in the previous literature, i.e., discretization of continuous time, has yet to be justified. This paper fills in these gaps with two theoretical results. The first one is a formal justification for the method. We use a simple example to illustrate the procedure of transforming a solution in time domain into a corresponding solution in the pattern domain with the same network lifetime and obtain two key observations. After that, we formally prove these two observations and use them as the basis to justify the method. The second result is an algorithm that can guarantee the network lifetime to be at least （1 - ε） of the optimal network lifetime, where ε can be made arbitrarily small depending on the required precision. The algorithm is based on the column generation （CG） theory, which decomposes the original problem into two sub-problems and iteratively solves them in a way that approaches the optimal solution. Moreover, we developed several constructive approaches to further optimize the algorithm. Numerical results verify the efficiency of our CG-based algorithm.

关键词： target coverage wireless sensor networks time-dependent solution pattern-based solution column generation

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Middleware support for transparent client-side caching

Middleware support for transparent client-side caching

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SC 2002, Workshop on Software Composition Affiliated with ETAPS 2002 (Satellite Event of ETAPS 2002)

作者： Pohl, Christoph Schill, Alexander Dresden University of Technology Institute for System Architecture Chair for Computer Networks Germany

This paper reflects on existing caching concepts in proxies and stubs of component technologies and lines out their advantages and deficiencies. A new concept is introduced that averts proliferation of component stubs on client side while transparently providing efficient caching of attributes that doesn't require any changes to existing code at all. Common object-oriented design facilities and code generation tools are leveraged to support seamless integration of these caching concepts into the development cycle. ©2002 Published by Elsevier science B.V.

关键词： Middleware

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Memory Efficient Two-Pass 3D FFT Algorithm for Intel~ Xeon Phi^(TM) Coprocessor

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Journal of computer science & Technology 2014年第6期29卷 989-1002页

作者：刘益群李焱张云泉张先轶 Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences Department of Computer Science and Technology Tsinghua University CCF ACM IEEE State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences

Equipped with 512-bit wide SIMD inst d large numbers of computing cores, the emerging x86-based Intel（R） Many Integrated Core （MIC） architecture ot only high floating-point performance, but also substantial off-chip memory bandwidth. The 3D FFT （three-di fast Fourier transform） is a widely-studied algorithm; however, the conventional algorithm needs to traverse the three times. In each pass, it computes multiple 1D FFTs along one of three dimensions, giving rise to plenty of rided memory accesses. In this paper, we propose a two-pass 3D FFT algorithm, which mainly aims to reduce of explicit data transfer between the memory and the on-chip cache. The main idea is to split one dimension into ensions, and then combine the transform along each sub-dimension with one of the rest dimensions respectively erence in amount of TLB misses resulting from decomposition along different dimensions is analyzed in detail. el parallelism is leveraged on the many-core system for a high degree of parallelism and better data reuse of loc On top of this, a number of optimization techniques, such as memory padding, loop transformation and vectoriz employed in our implementation to further enhance the performance. We evaluate the algorithm on the Intel（R） PhiTM coprocessor 7110P, and achieve a maximum performance of 136 Gflops with 240 threads in offload mode, which ts the vendor-specific Intel（R）MKL library by a factor of up to 2.22X.

关键词： 3D-FFT memory efficie many-core Many Integrated Core Intel（R） Xeon PhiTM

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Evaluation of grid workflow scheduling techniques in dynamic grid simulation environments 10

Evaluation of grid workflow scheduling techniques in dynamic...

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Proceedings of the 8th International Conference on Frontiers of Information Technology

作者： Rehman, Attiqa Institute of Computer Architecture Faculty of Mathematics and Computer Science University of Hagen Germany

ISBN: (纸本)9781450303422

In this paper, we present a simulation of dynamic grid environments. We consider two types of dynamicity namely: 1) dynamic job arrival and 2) dynamically changing the resource load along with dynamic job arrival. We studied the behaviors of Min-Min, Max-Min, Sufferage and XSufferage algorithms under these dynamic environments. We used GridSim to simulate the dynamic grid. We also described the workflow scheduling problem under a dynamic grid environment. This paper also gives an overview of the previously considered approaches to solve the grid workflow scheduling problem. Copyright © 2010 ACM.

关键词： Scheduling

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Efficient Algorithm for Energy-Aware Virtual Network Embedding

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Tsinghua science and Technology 2016年第4期21卷 407-414页

作者： Shuxian Jia Guiyuan Jiang Peilan He Jigang Wu School of Computer Software Technology Zhejiang University Ningbo 315048 China School of Computer Science and Engineering Nanyang Technological University 639798 Singapore State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

Network virtualization is a promising approach for resource management that allows customized Virtual Networks （VNs） to be multiplexed on a shared physical infrastructure. A key function that network virtualization can provide is Virtual Network Embedding （VNE）, which maps virtual networks requested by users to a shared substrate network maintained by an Internet service provider. Existing research has worked on this, but has primarily focused on maximizing the revenue of the Internet service provider. In this paper, we consider energy-aware virtual network embedding, which aims at minimizing the energy consumption for embedding virtual networks in a substrate network. In our optimization model, we consider energy consumption of both links and nodes. We propose an efficient heuristic to assign virtual nodes to appropriate substrate nodes based on priority, where existing activated nodes have higher priority for hosting newly arrived virtual nodes. In addition, our proposed algorithm can take advantage of activated links for embedding virtual links so as to minimize total energy consumption. The simulation results show that, for all the cases considered, our algorithm can improve upon previous work by an average of 12.6% on acceptance rate, while the consumed energy can be reduced by 12.34% on average.

关键词： virtualization technology virtual network embedding energy efficient optimization algorithm

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A multi-layer approach for cross-technology communication in a pervasive community

A multi-layer approach for cross-technology communication in...

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2009 6th Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, MobiQuitous 2009

作者： Dressier, Enrico Zender, Raphael Lucke, Ulrike Tavangarian, Djamshid Department of Computer Architecture Faculty of Engineering Institute of Computer Science Rostock Germany

ISBN: (纸本)9789639799592

This paper presents a middleware and an application scenario for communication in a pervasive community which is characterized by the use of different network and service technologies. To achieve the required cross-technology communication, we organize devices and applications as members of cells with homogeneous network interfaces, and we combine these cells to a heterogeneous ensemble by a General Purpose Access Point (GPAP). The GPAP enables and organizes a flexible service-based communication between members of different cells. This paper focuses an interconnection between Bluetooth and IP-based networks using service proxying between Bluetooth SDP (Service Discovery Protocol) and Web Services. However, it can be used as a base for service proxying with a variety of other network and SOA technologies. Furthermore, we combine several ensembles by our service-oriented middleware to build a community and enable the communication between devices of different ensembles. Moreover, we look forward to explore and allow seamless roaming for mobile devices as well as their provided services inside the community. For evaluation of our middleware we use cross-technology messaging as an application scenario for a general cross-technology video and audio communication.

关键词： Middleware

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Trainbow: a new trusted virtual machine based platform

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中国高等学校学术文摘·计算机科学 2010年第1期4卷 47-64页

作者： Yuzhong SUN Yongbing HUANG Yunwei GAO Haifeng FANG Ying SONG Lei DU Kai ZHANG Hongyong ZANG Yaqiong LI Yajun YANG Ran AO Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China Graduate University of Chinese Academy of Sciences Beijing 100190China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China Graduate University of Chinese Academy of Sciences Beijing 100190China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China Department of Computer Science and Technology Xi'an Jiaotong University Xi'an 710049China Key Laboratory of Computer System and Architecture Institute of Computing TechnologyChinese Academy of Sciences Beijing 100190China Graduate University of Chinese Academy of Sciences Beijing 100190China

Currently, with the evolution of virtualization technology, cloud computing mode has become more and more popular. However, people still concern the issues of the runtime integrity and data security of cloud computing platform, as well as the service efficiency on such computing platform. At the same time, according to our knowledge, the design theory of the trusted virtual computing environment and its core system software for such network-based computing platform is at the exploratory stage. In this paper, we believe that efficiency and isolation are the two key proprieties of the trusted virtual computing environment. To guarantee these two proprieties, based on the design principle of splitting, customizing, reconstructing, and isolation-based enhancing to the platform, we introduce TRainbow, a novel trusted virtual computing platform developing by our research *** the two creative mechanisms, that is, capacity flowing amongst VMs and VM-based kernel reconstructing, TRainbow provides great improvements (up to 42%) in service performance and isolated reliable computing environment for Internet-oriented, large-scale, concurrent services.

关键词： Computing platform virtual machine capacity service computing trust chain isolation

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ArmorCLIP: A hybrid defense strategy for boosting adversarial robustness in vision-language models

ArmorCLIP: A hybrid defense strategy for boosting adversaria...

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2024 International Conference on computer Application and Information Security, ICCAIS 2024

作者： Li, Yijun Liang, Yuhan Niu, Yumeng Shen, Qianhe Liu, Hangyu Computer Science and Technology Harbin Institute of Technology Guangdong Shenzhen518055 China Faculty of Engineering University of Bristol BristolBS8 1TH United Kingdom Beijing University of Civil Engineering and Architecture Beijing102612 China University of Toronto Mississauga MississaugaL5L 1C6 Canada Xi’an Tieyi ICC Shaanxi Xi’an710054 China

ISBN: (纸本)9781510689312

The robustness of Vision-Language Models (VLMs) such as Contrastive Language-Image Pretraining (CLIP) is critical for their deployment in safety-critical applications like autonomous driving, healthcare diagnostics, and security systems, where accurate interpretation of visual and textual data is essential. However, these models are highly susceptible to adversarial attacks, which can severely compromise their performance and reliability in real-world scenarios. Previous methods have primarily focused on improving robustness through adversarial training and generating adversarial examples using models like FGSM, AutoAttack, and DeepFool. However, these approaches often rely on strong assumptions, such as fixed perturbation norms or predefined attack patterns, and involve high computational complexity, making them challenging to implement in practical settings. In this paper, we propose a novel adversarial training framework that integrates multiple attack strategies and advanced machine learning techniques to significantly enhance the robustness of VLMs against a broad range of adversarial attacks. Experiments conducted on real-world datasets, including CIFAR-10 and CIFAR-100, demonstrate that the proposed method significantly enhances model robustness. The fine-tuned CLIP model achieved an accuracy of 43.5% on adversarially perturbed images, compared to only 4% for the baseline model. The neural network model achieved a high accuracy of 98% in these challenging classification tasks, while the XGBoost model reached a success rate of 85.26% in prediction tasks. © The Authors.

关键词： Adversarial machine learning

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