RTRM: A Response Time-Based Replica Management Strategy for Cloud Storage System

Bai, Xiaohu; Jin, Hai; Xiaofei, Liao; Xuanhua, Shi; Shao, Zili

doi:10.1007/978-3-642-38027-3_13

Cited by 30 publications

(34 citation statements)

References 6 publications

(11 reference statements)

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“…GFS [ 42 ], MinCopysets [ 43 ], RFH [ 44 ], MORM [ 45 ], etc. are some of the static replication scheme examples and RTRM [ 46 ], CDRM [ 47 ], CIR [ 48 ], D2RS [ 2 ], etc. are some of the dynamic replication scheme examples that are summarized in [ 3 ].…”

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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Section: Mechanismsmentioning

confidence: 99%

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

Tahir

Chen

Khan

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…In the literature, current efforts on data replication in cloud systems are mainly interested in satisfying the objective of a given level of availability for the tenants [29,33]. On the other hand, satisfying performance objectives has been comparatively a less visited issue with only a handful of studies being particularly interested in improved performance [4,12,37,39]. This may be particularly attributed to the lack of performance guarantees being a de facto part of the SLA until recently [16,28].…”

Section: Data Replication Without Considering Economic Impactmentioning

confidence: 99%

“…In this manner, some strategies argue that frequently accessed data sets will likely stay popular in the future [13] and decide what to replicate according to the mentioned popularity assessment. This is a simple but effective strategy for satisfying performance guarantees as evidenced by RTRM strategy [4]. When accessing popular data is causing a higher-than-desired average response time, these data sets are replicated to resolve the performance issue.…”

Section: Data Replication Without Considering Economic Impactmentioning

confidence: 99%

Ensuring performance and provider profit through data replication in cloud systems

et al. 2017

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Cloud computing is a relatively recent computing paradigm that is often the answer for dealing with large amounts of data. Tenants expect the cloud providers to keep supplying an agreed upon quality of service, while cloud providers aim to increase profits as it is a key ingredient of any economic enterprise. In this paper, we propose a data replication strategy for cloud systems that satisfies the response time objective for executing queries while simultaneously enables the provider to return a profit from each execution. The proposed strategy estimates the response time of the queries and performs data replication in a way that the execution of any particular query is still estimated to be profitable for the provider. We show with simulations that how the proposed strategy fulfills these two criteria.

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“…Dynamic strategies for data replication in cloud environments is proposed by, Bai et al [5] they have used Response Time-Based Replica Management (RTRM) to create a replica for automatically enhancing the number of replicas based on the average response time. The major drawback of this method is low reliability, low load balancing and high replication cost.…”

Section: Related Workmentioning

confidence: 99%

Secure provable data possession scheme with replication support in the cloud using Tweaks

Ali

Ramakrishnan

2017

Cluster Comput

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Cloud computing is an emerging model in which computing facilities are provided as a service and accessed using Internet hence organizations prefer data outsourcing to the cloud servers. Currently, organizations produce a large amount of data and expect increased availability, scalability and security. When data is migrated to cloud, security and availability of the data must be verified since the critical data of the organizations lies outside the data owner premises. To enhance the availability of the data the data owners prefer replicating data to more than one cloud servers. Thus there will be pre-defined SLAs between the cloud service provider (CSP) and the data owners that include payment of fees measured in terms of GB per month for data replication. We need to have a protocol which ensures that the cloud service provider is replicating the data storage based on the pre defined SLAs. In this paper we propose a protocol called "Secure Provable Data Possession scheme with Replication support in the Cloud using Tweaks" that prevents the CSP cheating the data owner by maintaining fewer replicas than the agreed one in the SLAs and also supports dynamic data operations. We illustrate the performance of our scheme with experimental analysis and prove that it performs better than the existing systems.

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RTRM: A Response Time-Based Replica Management Strategy for Cloud Storage System

Cited by 30 publications

References 6 publications

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

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

Ensuring performance and provider profit through data replication in cloud systems

Secure provable data possession scheme with replication support in the cloud using Tweaks

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