distributed system consists of networked computers that provide a coherent system view to its users. distributedcomputing is the use of distributed system to solve complex computational problems. cloud is a distribut...
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ISBN:
(数字)9789811319365
ISBN:
(纸本)9789811319365;9789811319358
distributed system consists of networked computers that provide a coherent system view to its users. distributedcomputing is the use of distributed system to solve complex computational problems. cloud is a distributed environment, having large capacity data centers. It needs parallel processing and task scheduling. MapReduce is programming model for processing this big data. Hadoop is a Java based implementation of MapReduce framework. The task scheduling in MapReduce framework is an optimization problem. This paper describes about some advantages and disadvantages used in different Hadoop MapReduce scheduling algorithms. It also gives the important of performance metrics considered in different scheduling algorithms. This shows that each scheduling algorithms have different performance objectives.
Now a days, cloudcomputing has brought a unbelievable change in companies, organizations, firm and institutions etc. IT industries is advantage with low investment in infrastructure and maintenance with the growth of...
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Considering the impact of distributed power on the net load, the short-term load forecasting model established by SR-LS-SVR from the global perspective of the distribution network. The model parameters are quickly opt...
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Considering the impact of distributed power on the net load, the short-term load forecasting model established by SR-LS-SVR from the global perspective of the distribution network. The model parameters are quickly optimized by fine-grained parallel PSO. The accuracy, robustness and efficiency of the model are verified by the Ausgrid smart grid measurement data.
Today is the age of cloudcomputing Technology in IT Industries. cloudcomputing which is built on the Internet has the most robust architecture of computation. In this work, we have proposed a cloud infrastructure. P...
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ISBN:
(数字)9781728163093
ISBN:
(纸本)9781728163109
Today is the age of cloudcomputing Technology in IT Industries. cloudcomputing which is built on the Internet has the most robust architecture of computation. In this work, we have proposed a cloud infrastructure. P-cloud (Personal cloud) for leasing computing resources appending non-cloud resources such as laptops, PCs, clusters and enterprise servers. Generally, infrastructure resource providers are responsible for providing infrastructure resources, however, the proposed P-cloud deals with personal resources. P-cloud permits a huge number of excess computing resources, on the scale of hundreds of millions, to be leased out to cloud users. By sharing of such resources allows resource owners to earn from idle resources, andcloud users to have a cost-efficient auxiliary to vast cloud service providers. In this work, we mainly focus to develop strategies to make relations between the users and resource owners where the two have opposite goals as well as how to fulfill their requirements mainly user satisfaction and system profit. The proposed system makes a platform between the user group and the resource owner group. Finally, the proposed system is implemented in cloudSim Plus.
The emergence of the Internet of Things introduces new challenges like network congestion or data privacy. However, it also provides opportunities, such as computational resources close to data sources, which can be p...
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ISBN:
(纸本)9783319676364;9783319676357
The emergence of the Internet of Things introduces new challenges like network congestion or data privacy. However, it also provides opportunities, such as computational resources close to data sources, which can be pooled to realize Fogs to run software applications on the edge of the network. To foster this new type of resources, we revisit the concept of mobile agents and evolve them to so-called nomadic applications, which allow addressing vital challenges for the Internet of Things. In this paper, we propose a system design to realize nomadic applications and discuss several challenges that need to be addressed in order to apply them to real-world scenarios.
The proceedings contain 10 papers. The special focus in this conference is on Intelligent, Secure and Dependable Systems in distributed andcloud Environments. The topics include: Analysing data security requirements ...
ISBN:
(纸本)9783030037116
The proceedings contain 10 papers. The special focus in this conference is on Intelligent, Secure and Dependable Systems in distributed andcloud Environments. The topics include: Analysing data security requirements of android mobile banking application;adaptive mobile keystroke dynamic authentication using ensemble classification methods;automating incident classification using sentiment analysis and machine learning;security analysis of an identity-based data aggregation protocol for the smart grid;a more efficient secure fully verifiable delegation scheme for simultaneous group exponentiations;an efficient framework for improved task offloading in edge computing;secure and efficient enhanced sharing of data over cloud using attribute based encryption with hash functions.
In this paper, a novel prognostics and health management system architecture for hydropower plant equipment was proposed based on fog computing and Docker container. We employed the fog node to improve the real-time p...
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In this paper, a novel prognostics and health management system architecture for hydropower plant equipment was proposed based on fog computing and Docker container. We employed the fog node to improve the real-time processing ability of improving the cloud architecture-based prognostics and health management system and overcome the problems of long delay time, network congestion and so on. Then Storm-based stream processing of fog node was present and could calculate the health index in the edge of network. Moreover, the distributed micros-service and Docker container architecture of hydropower plants equipment prognostics and health management was also proposed. Using the micro service architecture proposed in this paper, the hydropower unit can achieve the goal of the business intercommunication and seamless integration of different equipment and different manufacturers. Finally a real application case is given in this paper.
The virtual range can realize the interfacing, integration, and interoperability of test resources in different ranges, which can avoid excessive investment and repeated construction. This paper proposed a new constru...
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The virtual range can realize the interfacing, integration, and interoperability of test resources in different ranges, which can avoid excessive investment and repeated construction. This paper proposed a new construction concept of virtual range based on cloudcomputing. The proposed architecture, which combines the advantages of high performance and high scalability, can overcome the weakness of traditional distributed virtual range. The key technologies of the new architecture are also analyzed in this paper.
cloudcomputing infrastructures have been extensively deployed to support energy computation within built environments. This has ranged from predicting potential energy demand for a building (or a group of buildings),...
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ISBN:
(纸本)9783319676364;9783319676357
cloudcomputing infrastructures have been extensively deployed to support energy computation within built environments. This has ranged from predicting potential energy demand for a building (or a group of buildings), undertaking heat profile/energy distribution simulations, to understanding the impact of climate and weather on building operation. cloudcomputing usage in these scenarios have benefited from resource elasticity, where the number and types of resources can change based on the complexity of the simulation being considered. While there are numerous advantages of using a cloud based energy management system, there are also significant limitations. For instance, many such systems assume that the data has been pre-staged at a cloud platform prior to simulation, and do not take account of data transfer times from the building to the simulation platform. The need for supporting computation at edge resources, which can be hosted within the building itself or shared within a building complex, has become important over recent year. Additionally, network connectivity between the sensing infrastructure within a built environment and a data centre where analysis is to be carried out can be intermittent or may fail. There is therefore also a need to better understand how computation/analysis can be carried out closer to the data capture site to complement analysis that would be undertaken at the data centre. We describe how the Fog computing paradigm can be used to support some of these requirements, extending the capability of a data centre to support energy simulation within built environments.
Fog computing consists in extending cloud services down to the network edge by using resources such as base stations, routers and switches. It presents a dense, heterogeneous and geo-distributed infrastructure which p...
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