QoS-aware data replications and placements for query evaluation of big data analytics

Xia, Qiufen; Liang, Weifa; Xu, Zichuan

doi:10.1109/icc.2017.7997238

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…The recent research targets to provide data availability and maintain the performance of big data on clouds, even in case of disasters. Since the cloud distributes the huge, big data to various nodes either in the same data center or across many data centers on clouds [9,12,13,84].…”

Section: Big Data-oriented Replication Strategiesmentioning

confidence: 99%

“…Some of the latest research in the field of QoS oriented replication for cloud computing are addressed in Reference [12] distributed cloud data placement [9], for cost-based replication, Ref. [94] for edge cloud-based replication, Ref.…”

Section: Related Surveysmentioning

confidence: 99%

“…Big data makes use of cloud-based distributed storage technologies [10,11]. In the computing world, more and more data-intensive applications are being created [12]. In big data, Hadoop's file systems are handled by the Hadoop Distributed File System (HDFS), which also manages the storage resources [13].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Waseem¹,

Din

Alshamrani

et al. 2021

Electronics

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Data replications effectively replicate the same data to various multiple locations to accomplish the objective of zero loss of information in case of failures without any downtown. Dynamic data replication strategies (providing run time location of replicas) in clouds should optimize the key performance indicator parameters, like response time, reliability, availability, scalability, cost, availability, performance, etc. To fulfill these objectives, various state-of-the-art dynamic data replication strategies has been proposed, based on several criteria and reported in the literature along with advantages and disadvantages. This paper provides a quantitative analysis and performance evaluation of target-oriented replication strategies based on target objectives. In this paper, we will try to find out which target objective is most addressed, which are average addressed, and which are least addressed in target-oriented replication strategies. The paper also includes a detailed discussion about the challenges, issues, and future research directions. This comprehensive analysis and performance evaluation based-work will open a new door for researchers in the field of cloud computing and will be helpful for further development of cloud-based dynamic data replication strategies to develop a technique that will address all attributes (Target Objectives) effectively in one replication strategy.

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Section: Big Data-oriented Replication Strategiesmentioning

confidence: 99%

Section: Related Surveysmentioning

confidence: 99%

See 1 more Smart Citation

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Waseem¹,

Din

Alshamrani

et al. 2021

Electronics

View full text Add to dashboard Cite

show abstract

“…The worldwide shared mass data consists of a broad range of ambiguities of data types from various digital platforms [1][2][3][4]. As the data is high in volume, it demands high storage to keep all the data safe.…”

Section: Introductionmentioning

confidence: 99%

Replication Strategy with Comprehensive Data Center Selection Method in燙loud Environments

Fazlina¹,

Latip²,

Ibrahim³

et al. 2023

Computers, Materials &Amp; Continua

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As the amount of data continues to grow rapidly, the variety of data produced by applications is becoming more affluent than ever. Cloud computing is the best technology evolving today to provide multi-services for the mass and variety of data. The cloud computing features are capable of processing, managing, and storing all sorts of data. Although data is stored in many high-end nodes, either in the same data centers or across many data centers in cloud, performance issues are still inevitable. The cloud replication strategy is one of best solutions to address risk of performance degradation in the cloud environment. The real challenge here is developing the right data replication strategy with minimal data movement that guarantees efficient network usage, low fault tolerance, and minimal replication frequency. The key problem discussed in this research is inefficient network usage discovered during selecting a suitable data center to store replica copies induced by inadequate data center selection criteria. Hence, to mitigate the issue, we proposed Replication Strategy with a comprehensive Data Center Selection Method (RS-DCSM), which can determine the appropriate data center to place replicas by considering three key factors: Popularity, space availability, and centrality. The proposed RS-DCSM was simulated using CloudSim and the results proved that data movement between data centers is significantly reduced by 14% reduction in overall replication frequency and 20% decrement in network usage, which outperformed the current replication strategy, known as Dynamic Popularity aware Replication Strategy (DPRS) algorithm.

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Vigorous Replication Strategy With Balanced Quorum for Minimizing the Storage Consumption and Response Time in Cloud Environments

et al. 2021

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QoS-aware data replications and placements for query evaluation of big data analytics

Cited by 4 publications

References 17 publications

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Replication Strategy with Comprehensive Data Center Selection Method in燙loud Environments

Vigorous Replication Strategy With Balanced Quorum for Minimizing the Storage Consumption and Response Time in Cloud Environments

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