An Efficient Pre and Post Processing Skyline Computational Framework using Mapreduce

rao, P.Venkateswara; Hussain, Mohammed Ali

doi:10.35940/ijrte.b3587.078219

IJRTE

2019

DOI: 10.35940/ijrte.b3587.078219

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An Efficient Pre and Post Processing Skyline Computational Framework using Mapreduce

P.Venkateswara rao¹,

Mohammed Ali Hussain²

Abstract: Parallel processing will change the world of computation. Now a day’s parallel processing will take leading role in all processing that are aided with computer system. Skyline query processing is not exceptional. Skyline processing with MapReduce will take lead role in skyline computation. Still Skyline processing with MapReduce do not take full advantage of parallelism due to processing of including unnecessary data. This paper contains our proposed Map Reduce - Pre and Post Filter based Skyline Computation (… Show more

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Providing Consistent State to Distributed Storage System

Krishna

Ragunathan

Kota³

et al. 2021

Computers

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In cloud storage systems, users must be able to shut down the application when not in use and restart it from the last consistent state when required. BlobSeer is a data storage application, specially designed for distributed systems, that was built as an alternative solution for the existing popular open-source storage system-Hadoop Distributed File System (HDFS). In a cloud model, all the components need to stop and restart from a consistent state when the user requires it. One of the limitations of BlobSeer DFS is the possibility of data loss when the system restarts. As such, it is important to provide a consistent start and stop state to BlobSeer components when used in a Cloud environment to prevent any data loss. In this paper, we investigate the possibility of BlobSeer providing a consistent state distributed data storage system with the integration of checkpointing restart functionality. To demonstrate the availability of a consistent state, we set up a cluster with multiple machines and deploy BlobSeer entities with checkpointing functionality on various machines. We consider uncoordinated checkpoint algorithms for their associated benefits over other alternatives while integrating the functionality to various BlobSeer components such as the Version Manager (VM) and the Data Provider. The experimental results show that with the integration of the checkpointing functionality, a consistent state can be ensured for a distributed storage system even when the system restarts, preventing any possible data loss after the system has encountered various system errors and failures.

show abstract

Providing Consistent State to Distributed Storage System

Krishna

Ragunathan

Kota³

et al. 2021

Computers

View full text Add to dashboard Cite

show abstract

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An Efficient Pre and Post Processing Skyline Computational Framework using Mapreduce

Cited by 1 publication

References 11 publications

Providing Consistent State to Distributed Storage System

Providing Consistent State to Distributed Storage System

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