Evaluation Study of a Proposed Hadoop for Data Center Networks Incorporating Optical Circuit Switches

Wang, Xiaoyu; Veeraraghavan, Malathi; Shen, Haiying

doi:10.1364/jocn.10.000c50

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…Wang et al [20] stated that MapReduce is essential for the distributed processing of large-scale applications. Hadoop is used in data-intensive jobs, such as web indexing and data mining because it completes tasks with slow response times.…”

Section: Distributed Processing and Mapreducementioning

confidence: 99%

Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data

Kumar,

Varshney,

Bhatiya

et al. 2023

Big Data Min. Anal.

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We live in an age where everything around us is being created. Data generation rates are so scary, creating pressure to implement costly and straightforward data storage and recovery processes. MapReduce model functionality is used for creating a cluster parallel, distributed algorithm, and large datasets. The MapReduce strategy from Hadoop helps develop a community of non-commercial use to offer a new algorithm for resolving such problems for commercial applications as expected from this working algorithm with insights as a result of disproportionate or discriminatory Hadoop cluster results. Expected results are obtained in the work and the exam conducted under this job; many of them are scheduled to set schedules, match matrices' data positions, clustering before determining to click, and accurate mapping and internal reliability to be closed together to avoid running and execution times. Mapper output and proponents have been implemented, and the map has been used to reduce the function. The execution input key/value pair and output key/value pair have been set. This paper focuses on evaluating this technique for the efficient retrieval of large volumes of data. The technique allows for capabilities to inform a massive database of information, from storage and indexing techniques to the distribution of queries, scalability, and performance in heterogeneous environments. The results show that the proposed work reduces the data processing time by 30%.

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Section: Distributed Processing and Mapreducementioning

confidence: 99%

Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data

Kumar,

Varshney,

Bhatiya

et al. 2023

Big Data Min. Anal.

View full text Add to dashboard Cite

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“…Specifically, to solve the large-scale optimization problem in smart grid operations, the authors of [16] proposed a decomposition algorithm using the MapReduce framework. The model can also be applied to the synchronized harmonics [17] or circuit switches [18] in distribution networks for big data analysis. The application in a smart grid can be used to optimize the control of distribution feeders with smart loads [19].…”

Section: Related Workmentioning

confidence: 99%

Decentralized stochastic programming for optimal vehicle‐to‐grid operation in smart grid with renewable generation

Wang

Liang

Dinavahi

2021

IET Renewable Power Gen

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This paper presents a decentralized stochastic programming operation scheme for a vehicle‐to‐grid system in a smart grid, which includes a series of equipment with random power generation and demands. For households with electric devices, renewable solar power generation, energy storage systems and electric vehicles, we consider utility operating expenses, including power loss and energy consumption cost as the objective function. For customers, we consider the cost of electricity, including battery degradation. To investigate the uncertainty of the devices, a bottom‐up approach is proposed to develop a random device usage model for analyzing customers' uncertain behaviour. Besides, a random renewable power generation model and an electric vehicle random driving model are implemented. The proposed approach is implemented with OpenMP to simulate the decentralized process on a multi‐core CPU while reducing the computational burden. A case study based on the IEEE 33‐bus distribution system with different scenarios is used to evaluate the performance of the proposed approach. The simulation results show that by introducing an optimal household operation schedule, the expense of distribution system utility company can be reduced in which both customers and operators can benefit from the optimization of the system schedules.

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“…Suppose where s (k,I) is the result of the validation of all data Xk Xi is data backup [26]. LFSM system status checking uses shell scripting methods to check the name status of operations as check_service.sh of name service in the proposed method.…”

Section: Unison [Source Directory] Ssh: // [Server Ip Address] /[Destination Directory]mentioning

confidence: 99%

Efficient incremental data backup of unison synchronize approach

Nadee

Somwang

2021

Bulletin EEI

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Data communication and computer networks have enormously grown in every aspect of businesses. Computer networks are being used to offer instantaneous access to information in online libraries around the world. The popularity and importance of data communication has produced a strong demand in all sectors job for people with more computer networking expertise. Companies need workers to plan, use and manage the database system aspects of security. The security policy must apply data stored in a computer system as well as information transfer a network. This paper aimed to define computer data backup policies of the Incremental backup by using Unison synchronization as a file-synchronization tool and load balancing file synchronization management (LFSM) for traffic management. The policy is to be able to perform a full backup only at first as a one time from obtaining a copy of the data. The easiest aspect of value to assess is replacement for restoring the data from changes only and processing the correct information. As a result, the new synchronization technique was able to improve the performance of data backup and computer security system.

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Evaluation Study of a Proposed Hadoop for Data Center Networks Incorporating Optical Circuit Switches

Cited by 6 publications

References 8 publications

Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data

Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data

Decentralized stochastic programming for optimal vehicle‐to‐grid operation in smart grid with renewable generation

Efficient incremental data backup of unison synchronize approach

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