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

共 1401 条记录，以下是551-560 订阅

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A comprehensive survey on Task Scheduling for parallel workloads based on Particle Swarm optimisation under cloud environment 2

A comprehensive survey on Task Scheduling for parallel workl...

引用

2nd international conference on computing and Communications Technologies, ICCCT 2017

作者： Valarmathi, R. Sheela, T. Faculty of Computer Science Sathayabama University Chennai Tamilnadu India Department of Information Technology Sri Sairam Engineering College Chennai Tamilnadu India

ISBN: (纸本)9781509062201

cloud computing is a new emerging paradigm that provisions various computing resources to meet the developing computational needs. Scheduling the task poses many difficulties, because the cloud computing resources are complex, dynamic, heterogeneous, distributed in nature. Task Scheduling aims at minimising the makespan and maximising the resource utilisation. This paper gives an elaborate idea about Particle Swarm optimisation (PSO) algorithm and its several variants for task scheduling in cloud environment. PSO produces better results for task Scheduling Problems. This paper gives an insight to the researchers about various aspects of PSO and Task Scheduling. © 2017 IEEE.

关键词： cloud computing

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Application of Fog Architecture Based on Multi-agent Mechanism in CPPS

Application of Fog Architecture Based on Multi-agent Mechani...

引用

IEEE conference on Energy Internet and Energy System Integration (EI2)

作者： Hongru Wang Qi Wang Yaping Li Gang Chen Yi Tang School of Electrical Engineering Southeast University Nanjing China Power Automation Department China Electric Power Research Institute Nanjing China State Grid Jiangsu Electric Power Company Nanjing China

In the cyber-physic power system (CPPS) scenario, an increasing number of new devices, such as large-scale electric meters, embedded controllers and powerful computing devices are introduced into the power system. However, the architecture of present power system limits the seamless integration of the information system and physical systems. In this paper, a decentralized CPPS-fog architecture is proposed to address this issue. The proposed architecture distributes computing, communication storage, and control these services to the edge network along the cloud-to-thing continuum while the latter is commonly used in the smart grid. By applying the new architecture to the power system, the intelligence resources of the power system are effectively allocated to the parts closer to end users. Moreover, the realtime monitoring, on-line simulation, information integration, large-scale distributed control, and information security protection are easily achieved. The feasibility and advantages of the CPPS-fog architecture are demonstrated by the application in an island micro CPPS grid project.

关键词： Computer architecture cloud computing Data centers Task analysis Companies Smart grids

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Secure Data sharing in distributed cloud Environment

Secure Data sharing in Distributed Cloud Environment

引用

international conference on I-SMAC (IoT in Social, Mobile, Analytics and cloud) (I-SMAC)

作者： Priyanka Maharu Salunke Vishal V. Mahale Department of Computer Engineering SITRC Sandip Foundation Nashik Department of Computer Engineering S. I. E. R Agaskhind Nashik

ISBN: (纸本)9781538614433;9781538614426

In this paper we proposed a novel technique to store the data authentically in the cloud. Since because of elastic property from the point of view of storage space cloud is most popular to store data. cloud is inquiring about stores data on it. Therefore, security is must for store data for preserving it from malicious attackers as well as there may be leakage in stored data security. Many times there is necessary condition for hiding the user or data owner identity from cloud. A technique use in this paper shows anonymous authentication for stored data on cloud. This system preserves the identity of the users before storing it on cloud. The main aim of this paper is only valid user have ability to encrypt stored data with help of accessing its control features. The basic idea behind this scenario is to prevent stored data of cloud as well as its creation, modification etc. In this approach, cloud is familiar with access policies of every stored data also several KDCs are used for key management. Expensive operations are carried out easily in decentralized cloud system than centralized cloud system approach. The proposed system is implemented and tested in java with mysql database.

关键词： cloud computing Encryption Access control Authentication Servers Ciphers

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A structure of intelligent grain network information platform based on cloud computing 17

A structure of intelligent grain network information platfor...

引用

2nd international conference on Internet of things, Data and cloud computing (ICC)

作者： He, Jianwei Zhang, Dexian Henan Univ Technol 100 Lianhua St Zhengzhou Peoples R China

ISBN: (纸本)9781450347747

The construction of intelligent grain network is an important part of the national grain protection, and information platform is an important foundation to support the construction of Intelligent Grain Network. In order to make full use of the computing resources, to meet the needs of reliable storage and efficient management of all the information, the information platform structure of intelligent grain network based on cloud computing is proposed. In this paper, the architecture of the platform is presented, and the feasibility, advantages and problems of the new method are analyzed. According to the characteristics of intelligent grain network state monitoring, combined with the Hadoop cloud computing technology, this paper proposes the solution of intelligent grain network monitoring cloud computing platform. Research on cloud computing virtualization, distributed storage and parallel programming model and other issues, can achieve reliable intelligent grain network mass information storage and fast parallel processing.

关键词： cloud computing intelligent grain network virtualization distributed storage parallel processing

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Prioritized job scheduling algorithm using parallelization technique in cloud computing 2

Prioritized job scheduling algorithm using parallelization t...

引用

2nd international conference for Convergence in Technology (I2CT)

作者： Mhatre, Mallika Shree, Pragya Sharma, Sanjay Kumar Banasthali Univ Dept Comp Sci Vanasthali Rajasthan India

ISBN: (纸本)9781509043071

cloud computing is a distributed and parallel computing model in which cloud service providers guarantees to provide services to client by pay-per-use model. Now-a-days, it is possible to share pool of virtualized computer resources, computational equipments, servers and storages in cloud computing environment. Allocating resources to highly prioritized job within estimated time is one of the biggest issues in job scheduling Job should be scheduled properly in order to provide higher throughput of the system and to maintain Quality of Service & Economic Principles of Management policies. To solve such scheduling problem, we have proposed prioritized job scheduling algorithm with parallelization technique. This algorithm mainly focuses on equally prioritized job problem and uses master-slave concept for job scheduling. We had compared and analyzed our algorithm with other priority based algorithm. Results shows that proposed algorithm improves performance and resource utilization of cloud and it reduces execution time period by balancing load across cloud.

关键词： cloud computing job scheduling priority parallelization

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Cyber Physical Sensors System Security: Threats, Vulnerabilities, and Solutions

Cyber Physical Sensors System Security: Threats, Vulnerabili...

引用

IEEE international conference on Smart grid and Smart Cities (ICSGSC)

作者： Areej Essa Tariq Al-Shoura Ahmad Al Nabulsi A. R. Al-Ali Fadi Aloul Department of Computer Science and Engineering American University of Sharjah United Arab Emirates

A Cyber Physical Sensor System (CPSS) consists of a computing platform equipped with wireless access points, sensors, and actuators. In a Cyber Physical System, CPSS constantly collects data from a physical object that is under process and performs local real-time control activities based on the process algorithm. The collected data is then transmitted through the network layer to the enterprise command and control center or to the cloud computing services for further processing and analysis. This paper investigates the CPSS' most common cyber security threats and vulnerabilities and provides countermeasures. Furthermore, the paper addresses how the CPSS are attacked, what are the leading consequences of the attacks, and the possible remedies to prevent them. Detailed case studies are presented to help the readers understand the CPSS threats, vulnerabilities, and possible solutions.

关键词： Servers Sensor systems Humidity Cryptography Intelligent sensors Indexes

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Hybrid PSO for job scheduling to minimize makespan in heterogeneous grids 2

Hybrid PSO for job scheduling to minimize makespan in hetero...

引用

2nd international conference on Communication and Electronics Systems, ICCES 2017

作者： Oshin Bhatt, Mahesh Chandra Department of Computer Science and Engineering Lovely Professional University Phagwara Jalandhar Punjab14411 India

ISBN: (纸本)9781509050130

grid computing federates heterogeneous resources distributed over different geographical domains with the perspective of providing high computational power in the most seamless way. grid environment is a decisive and cost effective intelligent paradigm that facilitates fixing of complex parallel application by co-coordinating resources (storage space, software applications, computers, sensors) and sharing data. Heterogeneity of resources in grid paradigm has faced major scheduling issues. The paper suggests hybridized algorithm for scheduling parallel jobs. The algorithm put together features of Particle swarm optimization, cuckoo search and genetic algorithm to resolve various scheduling issues. © 2017 IEEE.

关键词： Genetic algorithms

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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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Survey of failures and fault tolerance in cloud 2

Survey of failures and fault tolerance in cloud

引用

2nd international conference on computing and Communications Technologies, ICCCT 2017

作者： Prathiba, Soma Sowvarnica, S. Department of Information Technology Sri Sairam Engineering College Chennai India

ISBN: (纸本)9781509062201

cloud computing provides support for hosting client's application. cloud is a distributed platform that provides hardware, software and network resources to both execute consumer's application and also to store and mange user's data. cloud is also used to execute scientific workflow applications that are in general complex in nature when compared to other applications. Since cloud is a distributed platform, it is more prone to errors and failures. In such an environment, avoiding a failure is difficult and identifying the source of failure is also complex. Because of this, fault tolerance mechanisms are implemented on the cloud platform. This ensures that even if there are failures in the environment, critical data of the client is not lost and user's application running on cloud is not affected in any manner. Fault tolerance mechanisms also help in improving the cloud's performance by proving the services to the users as required on demand. In this paper a survey of existing fault tolerance mechanisms for the cloud platform are discussed. This paper also discusses the failures, fault tolerant clustering methods and fault tolerant models that are specific for scientific workflow applications. © 2017 IEEE.

关键词： Surveys

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distributed High Performance computing in OpenStack cloud over SDN Infrastructure 2

Distributed High Performance Computing in OpenStack Cloud ov...

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2nd IEEE international conference on Smart cloud (Smartcloud)

作者： Basnet, Sadhu Ram Chaulagain, Ram Sharan Pandey, Santosh Shakya, Subarna Tribhuvan Univ Inst Engn Dept Elect & Comp Engn Lalitpur Nepal

ISBN: (纸本)9781538636848

cloud computing facilitates end users to allow high performance computing applications by allocating resources on demand. This avoids large capital expenditure for small and medium sized enterprises having limited resources to obtain High Performance computing(HPC). In this paper, we propose a new distributed HPC model in self-built OpenStack public cloud under SDN infrastructure. For partitioning any task in HPC, domain decomposition strategy is used. We analyse different parallel computation topologies and benchmark their performances. The public cloud constructed under OpenStack platform is integrated with Opendaylight SDN controller for network controlling and monitoring. Also, we analyze and compare the performance of the OpenStack cloud with and without proposed distributed HPC system. The result shows that the speed performance of OpenStack cloud under SDN infrastructure is enhanced by implementation of our HPC system based on Hypercube algorithm and Mesh Algorithm.

关键词： HPC OpenStack Public cloud SDN Opendaylight controller Hypercube Algorithm Mesh Algorithm

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