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检索条件"任意字段=Proceedings of the 22nd International Conference on Distributed Computing and Networking"

共 1646 条记录，以下是121-130 订阅

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BTSAH: Batch Task Scheduling Algorithm Based on Hungarian Algorithm in Cloud computing Environment 22nd

BTSAH: Batch Task Scheduling Algorithm Based on Hungarian Al...

引用

22nd international conference on Hybrid Intelligent Systems, HIS 2022 and the 18th international conference on Information Assurance and Security, IAS 2022

作者： Kamalam, Gobichettipalayam Krishnaswamy Raja, Sandhiya Kanakachalam, Sruthi Kongu Engineering College Tamil Nadu Perundurai India

ISBN: (纸本)9783031274084

Cloud computing is an on-demand computing service that enables the accessibility of information systems resources, notably data management and computational power, without the user being involved directly in direct active administration. Large clouds frequently contain services that are distributed across numerous locations, each of which is a data centre, also known as a cloud centre. The fundamental reason for cloud computing's appeal is the on-demand processing service, which allows users to pay only for what they use. Thus, cloud computing benefits customers in various ways through the internet. Cloud deployment models include SAAS, IAAS and PAAS. A lot of research is being done on IAAS because all consumers want a complete and appropriate allocation of requirements on the cloud. As a result, a major primary objectives of cloud technology is providing excellent remote access to resources so that advantage or profit may be maximised. The proposed methodology Batch Task Scheduling Algorithm based on Hungarian Algorithm (BTSAH) efficient locates a cloud resource that better suits to the constraint of tasks grouped in batches depending on the availability of cloud resource to achieve better utilization of resource, minimum completion time of tasks termed makespan. The proposed approach gains the advantage of Hungarian algorithm in achieving efficient scheduling technique. This paper compares and contrasts simulation analysis of the most popular and extensively used cloud computing scheduling algorithms Min-Min scheduling methodology. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Scheduling algorithms

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Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models 19

Privacy Estimation on Twitter: Modelling the Effect of Laten...

引用

2022 IEEE SmartWorld, 19th IEEE international conference on Ubiquitous Intelligence and computing, 2022 IEEE international conference on Autonomous and Trusted Vehicles conference, 22nd IEEE international conference on Scalable computing and Communications, 2022 IEEE international conference on Digital Twin, 8th IEEE international conference on Privacy computing and 2022 IEEE international conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

作者： Tillmann, Arne Kqiku, Lindrit Reinhardt, Delphine Weisser, Christoph Säfken, Benjamin Kneib, Thomas Georg-August-Universität Göttingen Göttingen Germany Insitute of Computer Science Georg-August-Universität Göttingen Göttingen Germany Clausthal University of Technology Clausthal Germany

ISBN: (纸本)9798350346558

Securing their users' privacy is a central duty of Online Social Networks (OSN), but the complex non-linear effects of social media content on privacy is not well understood. We propose a novel framework that integrates XGBoost, Latent Dirichlet Allocation (LDA) topic models and Generalized Additive Models (GAM) to perform statistical inference about the complex non-linear relationship between the topics and privacy of tweets. First, XGBoost is used to predict the privacy of tweets. Then, the predictions are improved by analyzing the classified tweets with LDA topic models. Finally, we model the nonlinear relationship between topics and privacy with GAMs by using (penalized) splines. Instead of being limited to predictive modeling, our approach enables us to model the non-linear relationship between latent topics and the privacy of tweets. © 2022 IEEE.

关键词： Social networking (online)

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Balancing computing and networking in Autonomous Edge Clouds

Balancing Computing and Networking in Autonomous Edge Clouds

引用

Consumer Communications and networking conference, CCNC IEEE

作者： Shinnosuke Masuda Tsuyoshi Hasegawa Kazuyuki Shudo Kenjiro Cho Kyoto University IIJ

ISBN: (数字)9798331508050

ISBN: (纸本)9798331508067

In the ever-changing environment of edge cloud systems, it is necessary to allocate diverse cloud resources in an efficient manner, at the same time, reducing energy consumption. A simple distributed resource allocation model is proposed in a previous study that utilizes a pseudo cost function of resource load, and it is shown that a convex function allows energy saving by pooling idle edge servers. In this paper, we extend this cost model beyond simple load, and present a method to balance computation and communication by merging multiple constraints into the cost function. We show trade-offs among soft constraints along with energy saving effects by simulation, using specific scenarios with computational and communication constraints. Our simulation results show that the combination of a convex function with a polynomial penalty function works well for balancing energy saving and other soft constraints.

关键词： Computational modeling Simulation Energy conservation Cost function Convex functions Polynomials Resource management Servers Load modeling Edge computing

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Model Checking of Software-Defined networking for Multiple Applications 19

Model Checking of Software-Defined Networking for Multiple A...

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作者： Yao, Jiangyuan Lin, Shengjun Wang, Jiawen Li, Deshun Yang, Qiuling Wang, Changshuai Wang, Xiaobin Hainan University School of Computer Science and Technology Haikou China China Electronics Corporation Hainan Joint Innovation Research Institute Co. Ltd Chengmai China Pk System Technologies Research of Hainan Chengmai China

ISBN: (纸本)9798350346558

With the development of Software-Defined networking (SDN), more and more SDN applications are deployed in the networks. However, different developers will develop applications according to their own wishes, which may cause interference when these applications work together. In many SDN applications studies, although single application passes the verification, it is hard to avoid the interference between different applications. For the research of multi-application interference, the correctness of single application is often not considered. As a consequence, this paper proposes a new model checking method for multiple SDN applications. Not only does it consider the correctness of single application, but also the detection of multi-application interference. Firstly, we propose a new model, Multi-Applications Extended Finite State Machine (MA-EFSM), that can describe the coexistence situation of multiple applications. Then we define the correctness properties for single application and the interference properties for multi-application used in model checking respectively. This method can not only detect the design defects of single application, but also detect the interference between multiple applications. Finally, we propose a test framework based on verification further. It can test multiple SDN applications in a real network environment. © 2022 IEEE.

关键词： Software defined networking

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Keycrux: A New Design of distributed and Convenient Blockchain Digital Wallet 19

Keycrux: A New Design of Distributed and Convenient Blockcha...

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作者： Yu, Yifan Xu, Yunkai Yuan, Jiawei Wu, Changhao Liu, Xiaogguang Su, Ming Nankai University College of Computer Science Cyber Science Tianjin China

ISBN: (纸本)9798350346558

With the wide application of blockchain in all walks of life, the management of blockchain keys has become increasingly important. At present, the key management of blockchain digital wallet mostly relies on mnemonics which are still hard to memorize. In this paper, we propose a new design of blockchain digital wallet. We generate the key into a code which later is separated into n shared images based on our visual secret sharing scheme. The shared images can be further presented in different formats including QR. codes, paper, clothes and audio watermarking, which is convenient for key recovery. Moreover, the wallet updates new shared images each time in hot media ensuring the security. Additionally, we provide a visual secret sharing scheme by combinatorial structures and solving a group of linear equations. Once the visual secret sharing scheme is safe, the wallet is safe without additional initial trust settings, which excels on security and convenience. © 2022 IEEE.

关键词： Blockchain

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distributed Quantum Machine Learning 22nd

Distributed Quantum Machine Learning

引用

22nd international conference on Innovations for Community Services (I4CS)

作者： Neumann, Niels M. P. Wezeman, Robert S. Netherlands Org Appl Sci Res Anna Buerenpl 1 NL-2595 DA The Hague Netherlands

ISBN: (纸本)9783031066672;9783031066689

Quantum computers can solve specific complex tasks for which no reasonable-time classical algorithm is known. Quantum computers do however also offer inherent security of data, as measurements destroy quantum states. Using shared entangled states, multiple parties can collaborate and securely compute quantum algorithms. In this paper we propose an approach for distributed quantum machine learning, which allows multiple parties to securely perform computations, without having to reveal their data. We will consider a distributed adder and a distributed distance-based classifier.

关键词： distributed quantum computing Quantum multi-party computation Quantum machine learning Quantum arithmetic

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A Quantum Approach for Tactical Capacity Management of distributed Electricity Generation 22nd

A Quantum Approach for Tactical Capacity Management of Distr...

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22nd international conference on Innovations for Community Services (I4CS)

作者： Phillipson, Frank Chiscop, Irina TNO The Hague Netherlands Maastricht Univ Maastricht Netherlands

ISBN: (纸本)9783031066672;9783031066689

Matching electricity demand and supply by decentralised generators will be very important in the near future, where more and more electricity has to be produced sustainably. Optimisation problems that address this problem often have quadratic objective functions or constraints, due to the quadratic nature of energy loss. Where classical solvers struggle with quadratic, often integer or binary, optimisation problems, quantum computing (inspired) solvers are well equipped for this kind of problems. In this paper, we present such an optimisation problem and the performance of the quantum annealer in solving this problem, in comparison with classical methods and commercial solvers. We show that the hybrid, quantum-classical, solvers provided by D-Wave can outperform classical solvers despite the small-scale of the available quantum hardware.

关键词： Hybrid quantum computing Smart energy and home control Tactical planning distributed electricity generation

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Secure Conflict-free Replicated Data Types 21

Secure Conflict-free Replicated Data Types

引用

22nd international conference on distributed computing and networking (ICDCN)

作者： Barbosa, Manuel Ferreira, Bernardo Marques, Joao Portela, Bernardo Preguica, Nuno DCC FC UP Porto Portugal INESC TEC Porto Portugal DI FC UL Lisbon Portugal LASIGE Lisbon Portugal DI FCT UNL Lisbon Portugal NOVA LINCS Costa Da Caparica Portugal

ISBN: (纸本)9781450389334

Conflict-free Replicated Data Types (CRDTs) are abstract data types that support developers when designing and reasoning about distributed systems with eventual consistency guarantees. In their core they solve the problem of how to deal with concurrent operations, in a way that is transparent for developers. However in the real world, distributed systems also suffer from other relevant problems, including security and privacy issues and especially when participants can be untrusted. In this paper we present new privacy-preserving CRDT protocols that can be used to help secure distributed cloud-backed applications, including NoSQL geo-replicated databases. Our proposals are based on standard CRDTs, such as sets and counters, augmented with cryptographic mechanisms that allow their operations to be performed on encrypted data. We accompany our proposals with formal security proofs and implement and integrate them in An-tidoteDB, a geo-replicated NoSQL database that leverages CRDTs for its operations. Experimental evaluations based on the Danish Shared Medication Record dataset (FMK) exhibit the tradeoffs that our different proposals make and show that they are ready to be used in practical applications.

关键词： distributed Systems Cloud computing Security

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Learning from Imperfect Demonstrations via Reweighting Confidence 19

Learning from Imperfect Demonstrations via Reweighting Confi...

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作者： Ning, Tao Zhang, Chunhong Hu, Zheng Tang, Xiaosheng Zhuang, Benhui Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China Ministry of Education Beijing University of Posts and Telecommunications Key Laboratory of Universal Wireless Communications Beijing China

ISBN: (纸本)9798350346558

Most imitation learning algorithms assume that the demonstrations come from the optimal policy of the expert, but this assumption is limited to real-world problems, collecting expert data is difficult and expensive and usually collects imperfect demonstrations with varying optimality. Prior works use ranking or confidence to represent optimality information for imperfect demonstrations, which require human-annotated rankings or ground-truth confidence, and these limited settings limit the availability and scale of dataset. Confidence-Aware Imitation Learning (CAIL) proposes a learning framework that combines ranking and confidence but still requires some manually annotated data as a ranking basis. In this paper, we propose Reweight Confidence Adversarial Imitation Learning (RWCAIL), a method to learn the optimality information of imperfect demonstrations via automatically reweighting confidence, which can eliminate the need for manual data annotation by combining CAIL's bi-level optimization model. We conduct experiments in the MuJoCo environment and show that our algorithm performs on par with previous work without requiring manual data annotations. © 2022 IEEE.

关键词： Demonstrations

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Transfer Learning Empowered Resource Allocation for Vehicular Edge computing 22

Transfer Learning Empowered Resource Allocation for Vehicula...

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22nd IEEE international conference on Communication Technology, ICCT 2022

作者： Zhang, Yuhan Zhang, Ke Wu, Fan School of Information and Communication Engineering University of Electronic Science and Technology of China China

ISBN: (纸本)9781665470674

Vehicular edge computing servers as a decentralized network extension to offer distributed and proximity services for computation-intensive vehicular applications. For some complex computing tasks, when they are offloaded from smart vehicles to edge servers, computing environment needs to be established on the servers, which requires extra computing power and brings unprecedented computation delay. To address this problem, we incorporate transfer learning into vehicular edge networks, leveraging existing knowledge and experience of similar edge services to improve the agility of environment construction. Furthermore, we investigate various knowledge transfer scenarios in terms of data source selection and knowledge preprocessing. We propose joint transfer learning and resource scheduling schemes adapted to both multi-source transfer and single-source transfer scenarios, which minimize computation delay while ensuring task computation accuracy constraints. Numerical simulations are conducted to verify the effectiveness of our proposed scheme as compared to benchmark schemes. © 2022 IEEE.

关键词： Knowledge management

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