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检索条件"任意字段=2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering"

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Fast Send Protocol - minimizing sending time in high-speed bulk data transfers

Fast Send Protocol - minimizing sending time in high-speed b...

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international conference on Digital Information Management (ICDIM)

作者： Christoph Koch Tilmann Rabl Gunther Holbling Harald Kosch Distributed Information Systems University of Passau Passau Germany

Over the last decades Internet traffic has grown dramatically. Besides the number of transfers, data sizes have risen as well. Traditional transfer protocols do not adapt to this evolution. Large-scale computational applications running on expensive parallel computers produce large amounts of data which often have to be transferred to weaker machines at the clients' premises. As parallel computers are frequently charged by the minute, it is indispensable to minimize the transfer time after computation succeeded to keep down costs. Consequently, the economic focus lies on minimizing the time to move away all data from the parallel computer whereas the actual time to arrival remains less (but still) important. This paper describes the design and implementation of a new transfer protocol, the fast send protocol (FSP), which employs striping to intermediate nodes in order to minimize sending time and to utilize the sender's resources to a high extent.

关键词： Concurrent computing Peer to peer computing Network servers Throughput Costs grid computing Time sharing computer systems Wide area networks Transport protocols Bandwidth

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CompuP2P: a light-weight architecture for Internet computing

CompuP2P: a light-weight architecture for Internet computing

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international conference on Broadband Networks (BroadNets)

作者： V. Sekhri R. Gupta A.K. Somani Dependable Computing and Networking Laboratory Department of Electrical and Computer Engineering Iowa State University Ames IA USA

Internet computing is emerging as an important new paradigm in which resource intensive computing is integrated over Internet-scale networks. Over these large networks, different users and organizations share their computing resources, and computations take place in a distributed fashion. In such an environment, a framework is needed in which the resource providers are given incentives to share their resources. CompuP2P is a light weight architecture for enabling Internet computing. It uses peer-to-peer networks for sharing of computing resources. CompuP2P create dynamic markets of network accessible computing resources, such as processing power, memory storage, disk space, etc., in a completely distributed, scalable, and fault-tolerant manner. This paper discusses the system architecture, functionality, and applications of the proposed CompuP2P architecture. We have implemented a Java based prototype, and our results show that the system is light-weight and can provide almost a perfect speedup for applications that contain several independent compute-intensive tasks

关键词： Computer architecture Internet Computer networks Peer to peer computing distributed computing IP networks grid computing Fault tolerance Prototypes Java

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Droop Control of Proportional Resonant controller Fed Hybrid Distrubuted Generator in Low voltage AC Microgrid

Droop Control of Proportional Resonant controller Fed Hybrid...

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international conference on Intelligent computing, Instrumentation and Control Technologies (ICICICT)

作者： T.Narasimha Prasad A.Lakshmi Devi PVP Siddhartha Institute of Technology Kanuru Vijayawada Andhra Pradesh INDIA S.V. University College of Engineering S.V. University Tirupati Andhra Pradesh INDIA

Power flow control is vital in microgrids whether it is AC or DC microgrid. Many Droop control techniques are used to efficiently control the power injected by DGs (distributed generators) in a decentralized manner. Residential low rating microgrids are eventually increasing which are hybrid in nature and need to control the power injected to a grid in grid-connected and to meet power balance in Islanded modes. A modified current based power point tracking is proposed in this paper to improve transient behavior of DC side parameters thus improves DC bus voltage regulation and Proportional resonant control is introduced which is responsible to control the active and reactive power flow simultaneously from inputs given by droop controller. The same reference is used to extend the droop control strategy in a grid-connected case also with necessary modifications.

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CTES based secure approach for authentication and authorization of resource and service in clouds

CTES based secure approach for authentication and authorizat...

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international conference on Computer and Communication Technology (ICCCT)

作者： Sanjeev Kumar Pippal Aruna Kumari Dharmender Singh Kushwaha Department of Computer Science and Engineering MNNIT Allahabad Allahabad Uttar Pradesh India Amar Nath and Shashi Khosla School of Information Technology IIT New Delhi India

cloud services are generally deployed in dedicated machines within Data-center. A cloud using distributed services and voluntary resources to build up its data center, where storage and computational resources of participating individual machines are harnessed non-intrusively, providing security to resources, services and users are primary objectives. Authentication and authorization are keys to any security mechanism. In this paper, we have made an attempt to address the associated concerns through an authentication and authorization model for a cloud computing paradigm. The paper also describes an improvement over traditional Kerberos protocol to authenticate the users and to access the services and resources in cloud, such that offsets certain limitations of Kerberos.

关键词： Servers Authentication Authorization IP networks Cryptography Protocols

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Autonomic management of workflows on hybrid grid-cloud infrastructure 11

Autonomic management of workflows on hybrid Grid-Cloud infra...

引用

international conference on Network and Service Management

作者： Giuseppe Papuzzo Giandomenico Spezzano Institute for High Performance Computing and Networking (ICAR) CNR-National Research Council of Italy Rende Italy

ISBN: (纸本)9783901882449

grids can be considered as dominant platforms for large-scale parallel/distributed computing in science and engineering. clouds allow users to acquire and release resources on-demand. Next generation computing environments will benefit from the combination of grid and cloud paradigms providing frameworks that integrate traditional grid services with on-demand cloud services. Nowadays, workflows are the preferred means for the combination of services into added value service chains representing functional business processes or complex scientific experiments. A promising way to manage effectively services composition in a dynamic and heterogenous environment is to make the workflow management framework able to self-adapt at runtime to changes in its environment and provide an uniform resource access mechanism over grid and cloud infrastructures. Autonomic workflow management systems can support the runtime modification of workflows with the aim of improving their performance and recover from faults determining and provisioning the appropriate mix of grid/cloud services with requested QoS. This paper describes Sunflower an innovative P2P agent-based framework for configuring, enacting, managing and adapting workflows on hybrid grid-cloud infrastructures. To orchestrate grid and cloud services, Sunflower uses a bio-inspired autonomic choreography model and integrates the scheduling algorithm with a provisioning component that can dynamically launch virtual machines in a cloud infrastructure to provide on-demand services in peak-load situations.

关键词： Quality of service Web services Virtual machining Scheduling algorithm Engines Adaptation models Runtime

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A post-prognostics decision framework for cell site using cloud computing and Internet of Things

A post-prognostics decision framework for cell site using Cl...

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international conference on cloud Technologies and Applications (cloudTech)

作者： Safa Meraghni Labib Sadek Terrissa Noureddine Zerhouni Christophe Varnier Soheyb Ayad LINFI Laboratory University of Biskra Biskra Algeria UMR CNRS 6174- UFC / ENSMM / UTBM Institut FEMTO-ST Besancon France

ISBN: (纸本)9781467388955

Maintenance is one of the main factors of production process. The aim of maintenance strategy is not just to repair and maintain equipment in a good condition, but to implement efficient maintenance solutions to ensure the good function while minimizing the cost of maintenance. Predictive maintenance strategy start by collecting data from sensors, analyze this data and predict the malfunction or failure in the system. As a result, with this information, we try to find the optimal solution for maintenance. Prognostics Health Manager (PHM) offers significant benefits for maintenance. It predicts the future behavior of a system as well as its remaining useful life. However when factories have a large number of asset with mobile and stationary equipment in different geographically sites. Making decision and collecting data become difficult to be done. In this study we interested in stationary equipment geographically distributed; and we propose a decision post-prognostics framework to help engineers to take the optimal decision for maintenance operation in order to minimize maintenance cost. In order to enhance the post-prognostics decision, we propose a framework based on Iot technology for real-time sensing to collect data from equipment and cloud computing paradigm for resources management and information processing.

关键词： Computer architecture cloud computing Reliability Lead Microprocessors Maintenance engineering

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A study on the computing Framework of cloud Intelligence Business Platforms

A study on the Computing Framework of Cloud Intelligence Bus...

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2nd international conference on Mechanical, Electronic, Control and Automation engineering (MECAE 2018)

作者： Feiqi Wang Jian Zhang School of Beijing University of Technology

With the development and application of business management information system, businesss own much more production and management softwares. Traditional computer labs can not deploy these application softwares and provide data sharing operations at the same time. In this paper, a cloud intelligence business platform based on the theory of framework and business model of SOA and cloud computing is discussed. A good software support will be achieved by virtue of ideas of hierarchical design of cloud platforms and virtualization technology to extend business hardware resources.

关键词： SOA cloud computing service composition distributed system

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Impacts of High Denisty cloud computing on Data Protection and Security Management for 6G Networking

Impacts of High Denisty Cloud Computing on Data Protection a...

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Disruptive Technologies (ICDT), international conference on

作者： Vinay Mallikarjunaradhya Haritha Yennapusa Ranadeep Reddy Palle K. Suganyadevi Nidhi Gupta Legal Tech Platform Thomson Reuters Toronto Canada Department of Computer Science University of central Missouri Austin Texas USA Department of Computer Science University of Houston Austin Texas USA Department of ECE Sri Eshwar College of Engineering Coimbatore Tamil Nadu India Department of Computer Science and Engineering G.L. Bajaj Institute of Technology and Management Greater Noida India

Data protection and security management in the 6G era is a key challenge due to the emergence of high density cloud computing. The availability of high density cloud computing technologies creates a platform for massive data storage, processing, and analytics capabilities at a scale that has never been seen before. High density cloud computing facilitates the deployment of complex distributed systems consisting of hundreds or thousands of nodes in a single deployment. This can have a significant impact on data protection and security management as it increases the potential threat to the system from malicious actors. To protect data in this environment, organizations must adopt more advanced security practices such as access control, encryption, and defensive layers to protect against malicious actors. The use of encryption can provide a layer of security by making it difficult for outsiders to access information without authorization. Access control can also prevent unauthorized users from accessing certain parts of the system, while defensive layers can help detect and block malicious attacks. The results of this study showed that high density cloud computing can potentially improve the efficiency and performance of data protection and security management in 6G networks.

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A BIO-INSPIRED distributed OBJECT-TRACKING APPROACH IN WIRELESS SENSOR NETWORKS

A BIO-INSPIRED DISTRIBUTED OBJECT-TRACKING APPROACH IN WIREL...

引用

2012 IEEE 2nd international conference on cloud computing and Intelligence Systems

作者： Yanling Jin Yongsheng Ding Kuangrong Hao College of Information Sciences and Technology Donghua University Engineering Research Center of Digitized Textile & Fashion Technology Ministry of EducationDonghua University

Target tracking with the wireless sensor networks (WSN) has been an issue with plenty of potentiality and challenge. The rapid development of the biology has created a new way for extracting natural regulating mechanisms. In this paper, a novel bio-inspired distributed object-tracking approach (BDOA) based on the information circulating principle of the endocrine system of human body is proposed. The decentralized nodes can tune themselves spontaneously by exchanging information among their local neighbors. A probability-based scheme for the information exchange is introduced to guarantee the persistence of tracking towards invading objects and inhibit the status fluctuation of the network. Simulation shows that this decentralized network with the proposed BDOA can work in a stable status without guidance of central commands. For the tracking performance, the proposed BDOA outperforms the other algorithms and the tracking mission against the invading object can be accomplished more efficiently and persistently.

关键词： Artificial endocrine system distributed sensor network Object tracking

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Preserving Patient Privacy in IoT Based Breast Cancer Monitoring System

Preserving Patient Privacy in IoT Based Breast Cancer Monito...

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international conference on Edge computing and Applications (ICECAA)

作者： Meenakshiammal R Bharathi R P. Krishnakumar Dept of CSE AP Rohini College of Engineering & Technology Kanyakumari India Dept of ECE AP University College of Engineering Nagercoil India Dept of CSE AP Amrita College of Engineering Erachakulam India

Disease detection plays a crucial role in providing right treatment to the patients. Currently, the lack of information on cancer prevention and awareness results in high fatality. Breast cancer is the second most deadliest disease across the globe. This type of cancer affects women than men. The proposed model employs an Internet of Things (IoT) based hand held device to predict breast cancer and transmit the heathcare data over the cloud for further medical analysis. The confidentiality of the patient's information is likely to be compromised during transmission. The patient's personal information might be intercepted by an outside party. Hence, the proposed model encrypts sensitive information using a mix of the Triple DES and AES method before sending it to the cloud. To improve the classification performance of MLP and SVM, Particle Swarm Optimization (PSO) is used, and a grid-based search was also used to determine the optimal settings of CNN and ANN models. To put the strategy to test, researchers used the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. The proposed model has achieved 98.5% accuracy in CNN classification and 99.2 % accuracy in ANN classification.

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