The Load Rebalancing Problem in Distributed File Systems

Chung, Hsueh-Yi; Chang, Che‐Wei; Hsiao, Hung‐Chang; Chao, Yu-Chang

doi:10.1109/cluster.2012.31

Cited by 7 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since this algorithm is not distributed so it creates a performance bottleneck issue for the name node in the HDFS. Hasio et al [1] and Chung et al [8] have presented a distributed approach for load balancing in a distributed file system to minimize the performance bottleneck issue for the name node. They have used CHORD protocol to create an overlay of server nodes.…”

Section: Related Workmentioning

confidence: 99%

Load Balancing of Distributed Servers in Distributed File Systems

Singh

Gupta

et al. 2016

ICT Innovations 2015

View full text Add to dashboard Cite

Abstract. With the rapid growth in technology, there is a huge proliferation of data in cyberspace for its efficient management and minimizing the proliferation issues. Distributed file system plays a crucial role in the management of cloud storage which is distributed among the various servers. Many times some of these servers get overloaded for handling the client requests and others re-main idle. Huge number of client requests on a particular storage server may in-crease the load of the servers and will lead to slow down of that server or dis-card the client requests if not attended timely. This scenario degrades the over-all systems performance and increases the response time. In this paper, we have proposed an approach that balances the load of storage servers and effectively utilizes the server capabilities and resources. From our experimental results and performance comparison of proposed algorithm with least loaded algorithm we can conclude that our approach balances the load, efficiently utilize the server capabilities and leverage the overall system performance.

show abstract

Section: Related Workmentioning

confidence: 99%

Load Balancing of Distributed Servers in Distributed File Systems

Singh

Gupta

et al. 2016

ICT Innovations 2015

View full text Add to dashboard Cite

show abstract

“…In 2012 the load rebalancing problem in cloud DFSs is illustrated by Hsueh-Yi Chung Che-Wei Chang Hung Chang Hsiao, Yu-Change Chao. The file system in cloud shall incorporate decentralized load rebalancing algorithm to eliminate the performance [17]. In May 2013 a fully distributed load rebalancing algorithm is presented to cope with the load imbalance problem by Hung-Chang, Haiying Shen.…”

Section: Literature Surveymentioning

confidence: 99%

“…It is used to balance the workload across servers to improve its availability, performance and scalability. Its purpose is to improve the performance of the distributed system through an appropriate distribution of the application [17]. In a distributed system, it is possible for some computers to be heavily loaded while others are lightly loaded.…”

Section: Load Balancermentioning

confidence: 99%

Design an Efficient Big Data Analytic Architecture for Retrieval of Data Based on Web Server in Cloud Environment

Shah¹,

Annappa²,

Shet³

2014

IJCCSA

View full text Add to dashboard Cite

Cloud has been a computational and storage solution for many data centric organizations. The problem today those organizations are facing from the cloud is in data searching in an efficient manner. A framework is required to distribute the work of searching and fetching from thousands of computers. The data in HDFS is scattered and needs lots of time to retrieve. The major idea is to design a web server in the map phase using the jetty web server which will give a fast and efficient way of searching data in MapReduce paradigm. For real time processing on Hadoop, a searchable mechanism is implemented in HDFS by creating a multilevel index in web server with multi-level index keys and indexing in DataNode. The web server uses to handle traffic throughput. By web clustering technology we can improve the application performance. To keep the work down, the load balancer should automatically be able to distribute load to the newly added nodes in the server.

show abstract

Trust Evaluation and Task Scheduling in Cloud Infrastructure

Gupta

2020

Trust &Amp; Fault in Multi Layered Cloud Computing Architecture

View full text Add to dashboard Cite

The Load Rebalancing Problem in Distributed File Systems

Cited by 7 publications

References 21 publications

Load Balancing of Distributed Servers in Distributed File Systems

Load Balancing of Distributed Servers in Distributed File Systems

Design an Efficient Big Data Analytic Architecture for Retrieval of Data Based on Web Server in Cloud Environment

Trust Evaluation and Task Scheduling in Cloud Infrastructure

Contact Info

Product

Resources

About