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共 396 条记录，以下是61-70 订阅

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Security of cloud computing system using object oriented technique

Security of cloud computing system using object oriented tec...

引用

2012 3rd international conference on computing, Communication and Networking Technologies, ICCCNT 2012

作者： Shukla, Shipra Kumar Singh, Rakesh Department of Computer Science and Engineering Kamala Nehru Institute of Technology Sultanpur Sultanpur U.P. India

ISBN: (纸本)9781467356930

Cloud computing is a new emerging technology. It has been coming forth as an alternative computing environment where web-based services allow for different kinds of users to obtain a large variety of resources, such as software and hardware. Cloud computing provides a way to share large amount of distributed resources belonging to different organizations through the internet, So it is prone to several types of security risks. Therefore a systematic methodology and process are indispensable to analyze security requirements. The Security policies should be developed for cloud computing systems at multiple levels to threats, risk and vulnerability. Here we discuss about a high order object oriented techniques and methods for construction of robust security policy to build cloud system more reliable and trustworthy. © 2012 IEEE.

关键词： Cryptography

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rdF Class Collection from distributed LOD 3

RDF Class Collection from Distributed LOD

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3rd international conference on Applied computing and Information technology (ACIT 2015) 2nd international conference on Computational Science and Intelligence (CSI 2015)

作者： Otani, Seiki Fujimoto, Ryoya Toshioka, Kohichi Iwahori, Yuji Chubu Univ Grad Sch Engn Dept Comp Sci 1200 Matsumoto Cho Kasugai Aichi 4878501 Japan

ISBN: (纸本)9781467396424

For information on the internet, by using concepts defined in the format that can be processed by machine, various researches have been made so that a computer understands the Web contents. This is called the Semantic Web, and its practical way has been promoted as Linked Open Data (LOD). When creating an application of interest dataset that was created as an LOD at other places, the URL of a concerned LOD is required to use. However, in order to obtain the URL of the LOD, some work like searching or collecting is required to the application author. Thus we propose to create a system to have or collect the relationship between classes, the class itself and its index into the LOD over all created LOD sites as many as possible. In this article, we present an approach of collecting and sharing the class information created in different place, and the information also is stored as another LOD dataset which can be retrieved by SPARQL.

关键词： LOD Linked Open Data rdF SPARQL Federation

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Improving the deployability of existing Windows-based client/server business information systems using ActiveX 3rd

引用

3rd international conference on distributed computing and internet technology

作者： Chyou, Jonathan Jiin-Tian Cheng, Bill Yu-Fan Natl Chengchi Univ Dept Management Informat Syst 64Sec 2Zhinan Rd Taipei 11605 Taiwan

ISBN: (纸本)9783540683797

Today, increasingly large and complex business information systems (BISs) are being built as client/server (C/S) applications. Unfortunately, for the most common C/S BISs, that is, the Windows-based C/S BISs (WinBISs), client programs must be manually deployed to each end-user machine bringing about a heavy BIS maintenance load. ActiveX, if used properly, is more cost-effective than alternatives in improving the deployment of existing WinBISs. Yet, ActiveX has three shortcomings, namely insecurity, complexity, and bulkiness. The purpose of this paper is to overcome the shortcomings of ActiveX, and then develop an ActiveX-based solution to automate the deployment of existing WinBISs. We first propose a downloadable architecture, which supports the development of automatically-deployed BISs. Then we propose an architecture transformation process, which transforms existing WinBISs into the downloadable architecture. Additionally, we show an example of how to use the downloadable architecture and the architecture transformation process. The example also provides evidence to support the feasibility of such architecture and process.

关键词： ActiveX deployability information system deployment information system architecture information system architecture transformation

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Short Term Nonlinear Load Forecasting Method for distributed Photovoltaic Grid Connection Based on GSA Algorithm 3

Short Term Nonlinear Load Forecasting Method for Distributed...

引用

3rd international conference on Artificial Intelligence, internet of Things and Cloud computing technology, AIoTC 2024

作者： Xu, Pengfei Li, Yan Tang, Mengyuan Tian, Xing Gao, Baohao Economic and Technological Research Institute of State Grid Ningxia Electric Power Co. Ltd. Yinchuan Ningxia750004 China

ISBN: (纸本)9798331530280

In order to cope with the intermittency and uncertainty of photovoltaic power generation and improve the accuracy of short-term load forecasting, a distributed photovoltaic grid connected short-term nonlinear load forecasting method based on Genetic Simulated Annexing Algorithm (GSA) is proposed. The historical data of the distributed photovoltaic grid connected system is used as the analysis basis, and the concept of particle aggregation is introduced to establish a solution space. The global load data is searched in the space, and the original data is substituted into the solution space to achieve load data normalization processing. Design a distributed photovoltaic grid connected short-term nonlinear load forecasting method based on GSA, obtain the global optimal solution, and accurately predict short-term load changes. The experimental results show that this method has significantly improved prediction accuracy and can more accurately predict short-term nonlinear loads. © 2024 IEEE.

关键词： distributed photovoltaic grid connected system Genetic simulated annealing algorithm Load data preprocessing Short term nonlinear load

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A framwork for a university display platform by using cloud computing

A framwork for a university display platform by using cloud ...

引用

3rd international conference on Cyber-Enabled distributed computing and Knowledge Discovery, CyberC 2011

作者： Liu, Zhen-Heng Zhang, Chang-Li Reynolds, Tim Beijing Union University Beijing China Northeast Agriculture University Heilongjiang China Anglia Ruskin University Cambridge United Kingdom

ISBN: (纸本)9780769545578

This paper discusses to use of cloud computing technology to provide a flexible virtual platform for teachers and students in university to display their creative artifacts on the internet. The authors compare two kinds of virtualisation technology and introduce the system architecture for the creative platform. The platform allows teachers and students to display their achievements by using the unified portal. It can be used to improve the creative ability of users and save hardware and software resources in university. © 2011 IEEE.

关键词： Cloud computing

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Multi-agent based railway track management System

Multi-agent based railway track management System

引用

3rd IEEE international Advance computing conference (IACC)

作者： Ghosh, Supriyo Dutta, Animesh Alam, Md Alamgir Natl Inst Technol Dept Informat Technol Durgapur 713209 W Bengal India

ISBN: (纸本)9781467345286

The amalgation of social science and multiagent research can be quite harmonious in the domain of multiagent based simulation providing active interdisciplinary advantages. The pivotal role of MABS is to enable agent modelling for a system reproduced to posses realistic behavior. The challenges present in this paper is to model the manually controlled railway system into a multiagent based coordination system. The real object or entity of the railway system being considered as an agent which has its own computational capabilities. The communication and coordination between respective agents can now be a substitution in the place of manual decisions. Thus the idea can replace the restless job of railway control room personals in a more sophisticated way. The paper finds its aim in 100% collision avoidance as well as optimised system delay in railway traffic thus eliminating manual errors causing disasters by proposing a robust and fully automated model.

关键词： distributed computing Agent Multi-agent technology MAX-SUM Algorithm Railway System Train Management

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Caching Techniques in Edge computing and Challenges 3

Caching Techniques in Edge Computing and Challenges

引用

3rd international conference on Advancement in Electronics and Communication Engineering, AECE 2023

作者： Kumar, Sumit Dash, Yajnaseni Galgotias University Department of Computer Science & Engineering Uttar Pradesh India School of Computer Science Engineering and Technology Bennett University Uttar Pradesh India

ISBN: (纸本)9798350330724

Edge computing, a distributed computing concept, brings data processing and storage closer to endpoints or edge devices. Caching methods are crucial in edge computing environments for optimizing performance and minimizing latency and enable faster response times, efficient bandwidth utilization, and enhanced scalability. Edge computing uses caching techniques strategically based on user behaviour studies and access patterns to boost scalability and reduce network congestion. Caching techniques increase the efficacy and performance of edge computing. The parameters that influence efficacy include cache management strategies, network conditions, application features, and data access patterns. This paper presents a brief overview of the caching technologies utilized in edge computing and their challenges. © 2023 IEEE.

关键词： internet of things

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TransOra: A Transaction-preserving and Transparent distributed Oracle on Permissioned Blockchain For Hybrid Smart Contracts 3

TransOra: A Transaction-preserving and Transparent Distribut...

引用

3rd international conference on computing, Networks and internet of Things, CNIOT 2022

作者： Yang, Tianjian Sun, Qiao Chen, Feng University of Chinese Academy of Sciences Guiyang Academy of Information Technology Chinese Academy of Sciences Institute of Software Beijing China

ISBN: (纸本)9781665469104

Hybrid transaction in blockchain enlarges the application domain of smart contracts by enabling off-chain data access. In support of the hybrid transaction, blockchain oracle is an indispensable middleware responsible for receiving data-request tasks and pushing the result back to chain. Though solutions supporting hybrid transactions do exist, they are less featured or applicable for both contract and application developers. On one hand, the racing-condition among several concurrent hybrid transactions should be manually resolved by contract developers. On the other hand, application developers have to associate each individual task with its parent hybrid transaction in order to obtain the result. In this paper, a novel block-chain oracle platform with a set of simple but unified API for both hybrid and traditional transactions is proposed. Firstly, we design and implement a transactional storage layer and a transaction scheduler for transaction preservation and ordering. Secondly, with the help of an automatic result tracing mechanism, application developers are able to acquire transaction results transparently without awareness of oracles and underlying task execution. Experiments are conducted on one of current prevalent permissioned blockchain platforms, RepChain, and the result shows that all of the system design goals are fulfilled with merely an acceptable loss of performance. © 2022 IEEE.

关键词： Smart contract

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Supply Chain Management Growth With the Adoption of Blockchain technology (BoT) and internet of Things (IoT) 3

Supply Chain Management Growth With the Adoption of Blockcha...

引用

3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Singh, Gaurav Kumar Dadhich, Manish Sir Padampat Singhania University Research Scholar Udaipur India Sir Padampat Singhania University School of Management Udaipur India

ISBN: (纸本)9798350399264

Globalization has posed many threats to managing supply chains and logistic networks. Blockchain technology and internet of Things have outlined budding for answering global Supply Chain Management (SCM) issues. It is a distributed digital ledger platform that renders transparency, traceability, and security. This paper significantly analyzes 140 IT experts of BoT and IoT managers working in supply chain management. Smart PLS is employed, and the proposed model offers improved transparency, efficiency, security, and traceability, enabling faster decision-making, enhanced operational performance, and better collaboration among supply chain participants. As organizations increasingly recognize the benefits of BoT and IoT, we can expect to see widespread adoption and continued innovation in SCM. It is suggested that future study proposals and methods might suggest insights into overcoming supply chain obstacles. © 2023 IEEE.

关键词： internet of things

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An Adaptive Task Scheduling Approach for Cloud computing Using Deep Reinforcement Learning 3

An Adaptive Task Scheduling Approach for Cloud Computing Usi...

引用

3rd international conference on distributed computing and High Performance computing, DCHPC 2024

作者： Amini, Pedram Kalbasi, Amir Amirkabir University of Technology Department of Computer Engineering Tehran Iran

ISBN: (纸本)9798350381580

Today, many important internet services are provided on cloud computing platforms. The ever-increasing expansion of services and user requirements has necessitated the optimal use of resources. Therefore, several algorithms for optimal resource usage have been proposed to increase cloud performance and provide more satisfactory services to internet users. Typically, each algorithm is suitable for a specific environment, and their performance is affected by changes of the execution environment. Meanwhile, the assignment of tasks to resources in cloud computing is a difficult problem that NP-Complete. This paper proposes a novel deep reinforcement learning-based approach for task scheduling in cloud computing environments, aiming to minimize the makespan, which is the total time required to complete all tasks. The proposed approach utilizes a deep Q-learning algorithm to learn the near-optimal task allocation strategies based on the current state of the system. The task scheduling performance of the proposed approach is compared with the Min-Min, Min-Max, FCFS and GA algorithms based on three criteria: makespan, algorithm execution time, and computational complexity. Simulation results demonstrate that the proposed approach results in excellent makespan, while demonstrating very small algorithm execution time. © 2024 IEEE.

关键词： Reinforcement learning

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