A novel predicted replication strategy in cloud storage

He, L.; Qian, Zhicheng; Shang, Fengjun

doi:10.1007/s11227-018-2647-4

Cited by 16 publications

(12 citation statements)

References 24 publications

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“…In [ 10 , 11 ], a data replication strategy, referred to as RSPC, is proposed where systems are rented for replication and profit and cost calculation at data centers. It is highly challenging to pay for the data replication system rent and ensure economic profit for the cloud providers at the same time, as discussed in that paper.…”

Section: - Review Of the Literaturementioning

confidence: 99%

Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments

2021

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As the amounts of data and use of distributed systems for data storage and processing have increased, reducing the number of replications has turned into a crucial requirement in these systems, which has been addressed by plenty of research. In this paper, an algorithm has been proposed to reduce the number of replications in big data transfer and, eventually to lower the traffic load over the grid by classifying data efficiently and optimally based on the sent data types and using VIKOR as a method of multivariate decision-making for ranking replication sites. Considering different variables, the VIKOR method makes it possible to take all the parameters effective in the assessment of site ranks into account. According to the results and evaluations, the proposed method has exhibited an improvement by about thirty percent in average over the LRU, LFU, BHR, and Without Rep. algorithms. Furthermore, it has improved the existing multivariate methods through different approaches to replication by thirty percent, as it considers effective parameters such as time, the number of replications, and replication site, causing replication to occur when it can make an improvement in terms of access.

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Section: - Review Of the Literaturementioning

confidence: 99%

Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments

2021

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“…Holistically, data selection strategy has a significant role in determining only important files replicated in cloud replication environments [30][31][32][33] . Additionally, as mentioned by 26 , the popularity factors in the data selection strategies greatly influence response time for file downloads.…”

Section: Data Selection Strategiesmentioning

confidence: 99%

Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments

et al. 2021

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Cloud Computing is a mass platform to serve high volume data from multi-devices and numerous technologies. Cloud tenants have a high demand to access their data faster without any disruptions. Therefore, cloud providers are struggling to ensure every individual data is secured and always accessible. Hence, an appropriate replication strategy capable of selecting essential data is required in cloud replication environments as the solution. This paper proposed a Crucial File Selection Strategy (CFSS) to address poor response time in a cloud replication environment. A cloud simulator called CloudSim is used to conduct the necessary experiments, and results are presented to evidence the enhancement on replication performance. The obtained analytical graphs are discussed thoroughly, and apparently, the proposed CFSS algorithm outperformed another existing algorithm with a 10.47% improvement in average response time for multiple jobs per round.

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“…This also ensures that the data is always in synchronization with the original data and with other geo-clouds. As it is unlikely that multiple clouds suffer from outages at the same time, the Inter-cloud replication is very effective in this manner [ 24 , 38 ]. The authors have proposed a 2-tier inter-cloud replication strategy through which they form a crash and outage-tolerant replication within the same cloud and then replicates across multiple clouds.…”

Section: Mechanismsmentioning

confidence: 99%

A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems

Tahir

Chen

Khan

et al. 2020

Sensors

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As the expenses of medical care administrations rise and medical services experts are becoming rare, it is up to medical services organizations and institutes to consider the implementation of medical Health Information Technology (HIT) innovation frameworks. HIT permits health associations to smooth out their considerable cycles and offer types of assistance in a more productive and financially savvy way. With the rise of Cloud Storage Computing (CSC), an enormous number of associations and undertakings have moved their healthcare data sources to distributed storage. As the information can be mentioned whenever universally, the accessibility of information becomes an urgent need. Nonetheless, outages in cloud storage essentially influence the accessibility level. Like the other basic variables of cloud storage (e.g., reliability quality, performance, security, and protection), availability also directly impacts the data in cloud storage for e-Healthcare systems. In this paper, we systematically review cloud storage mechanisms concerning the healthcare environment. Additionally, in this paper, the state-of-the-art cloud storage mechanisms are critically reviewed for e-Healthcare systems based on their characteristics. In short, this paper summarizes existing literature based on cloud storage and its impact on healthcare, and it likewise helps researchers, medical specialists, and organizations with a solid foundation for future studies in the healthcare environment.

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A novel predicted replication strategy in cloud storage

Cited by 16 publications

References 24 publications

Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments

Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments

Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments

A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems

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