Towards Comprehensive Measurement of Consistency Guarantees for Cloud-Hosted Data Storage Services

Bermbach, David; Zhao, Liang; Sakr, Sherif

doi:10.1007/978-3-319-04936-6_3

Cited by 25 publications

(31 citation statements)

References 23 publications

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“…Eventual consistency latency benchmarks for assessing SLA requirements are based on the results for an Amazon Web Service (AWS) deployment reported in Bermbach, Zhao and Sakr [6]: a) MongoDB's results …”

Section: Nosql Data Access Transparencymentioning

confidence: 99%

“…For rollbacks to occur, a primary server must be able to receive a write, but not to replicate it to at least one member of a replica set quorum. If a member is available within the data center, the rollback window is abut 5 ms [6]. If there is a site-wide or regional failure the window is roughly 20 seconds.…”

Section: Transaction Transparencymentioning

confidence: 99%

“…In read-heavy workloads, changing the setting can enable fulfillment of SLA requirements. Latencies of 150 ms are possible for globally separated locations [25], while human perception is roughly 40 ms; a low latency nearest read can reduce access time to 5 ms or less [6].…”

Section: Migration Transparencymentioning

confidence: 99%

See 2 more Smart Citations

A Primer on NoSQL Databases for Enterprise Architects: The CAP Theorem and Transparent Data Access with MongoDB and Cassandra

Marungo

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Abstract-MongoDB and Apache Cassandra are the dominant "Not Only SQL" (NoSQL) database management systems for persisting structured records. Moreover, the pair are respectively in the top-five and top-ten of database management systems generally. Therefore this work seeks to present the two leading systems, along with the underlying principle of the CAP Theorem, in the context of creating transparent data access tiers capable of supporting flexible enterprise architectures.

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Section: Nosql Data Access Transparencymentioning

confidence: 99%

Section: Transaction Transparencymentioning

confidence: 99%

See 1 more Smart Citation

A Primer on NoSQL Databases for Enterprise Architects: The CAP Theorem and Transparent Data Access with MongoDB and Cassandra

Marungo

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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show abstract

“…Cassandra has several different consistency guarantees [76]. The database allows for tunable consistency at both the read and write level, even with near-ACID semantics if consistency level "ALL" is picked.…”

Section: Consistencymentioning

confidence: 99%

Choosing the right NoSQL database for the job: a quality attribute evaluation

Lourenço

Cabral

Carreiro

et al. 2015

Journal of Big Data

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For over forty years, relational databases have been the leading model for data storage, retrieval and management. However, due to increasing needs for scalability and performance, alternative systems have emerged, namely NoSQL technology. The rising interest in NoSQL technology, as well as the growth in the number of use case scenarios, over the last few years resulted in an increasing number of evaluations and comparisons among competing NoSQL technologies. While most research work mostly focuses on performance evaluation using standard benchmarks, it is important to notice that the architecture of real world systems is not only driven by performance requirements, but has to comprehensively include many other quality attribute requirements. Software quality attributes form the basis from which software engineers and architects develop software and make design decisions. Yet, there has been no quality attribute focused survey or classification of NoSQL databases where databases are compared with regards to their suitability for quality attributes common on the design of enterprise systems. To fill this gap, and aid software engineers and architects, in this article, we survey and create a concise and up-to-date comparison of NoSQL engines, identifying their most beneficial use case scenarios from the software engineer point of view and the quality attributes that each of them is most suited to.

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“…The platform exploits cloud computing as an emerging effective technology for broad sharing of hardware resources and computing environments over the Internet [15]. In particular, virtualization is a key technology of the cloud computing paradigm which improves the manageability of hardware resources by flexibly allowing computing resources to be provisioned on demand (in the form of virtual machines) and hiding the complexity of resource sharing details from cloud users [36], [6]. In practice, conducting a fair and apples-to-apples comparison between any competing software implementations requires performing their experiments using exactly the same computing environment [31].…”

Section: Platform Architecture and Implementationmentioning

confidence: 99%

A Cloud-Based Platform for Democratizing and Socializing the Benchmarking Process

Bajaber¹,

Shafaat²,

Batarfi³

et al. 2016

ijacsa

Self Cite

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Abstract-Performances evaluation, benchmarking and reproducibility represent significant aspects for evaluating the practical impact of scientific research outcomes in the Computer Science field. In spite of all the benefits (e.g., increasing visibility, boosting impact, improving the research quality) which can be obtained from conducting comprehensive and extensive experimental evaluations or providing reproducible software artifacts and detailed description of experimental setup, the required effort for achieving these goals remains prohibitive. In this article, we present the design and the implementation details of the Liquid Benchmarking platform as a social and cloud-based platform for democratizing and socializing the software benchmarking processes. Particularly, the platform facilitates the process of sharing the experimental artifacts (computing resources, datasets, software implementations, benchmarking tasks) as services where the end users can easily design, mashup, execute the experiments and visualize the experimental results with zero installation or configuration efforts. Moreover, the social features of the platform enable the users to share and provide feedback on the results of the executed experiments in a form that can guarantee a transparent scientific crediting process. Finally, we present four benchmarking case studies that have been realized via the Liquid Benchmarking platform in the following domains: XML compression techniques, graph indexing and querying techniques, string similarity join algorithms and reverse K nearest neighbors algorithms.

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Towards Comprehensive Measurement of Consistency Guarantees for Cloud-Hosted Data Storage Services

Cited by 25 publications

References 23 publications

A Primer on NoSQL Databases for Enterprise Architects: The CAP Theorem and Transparent Data Access with MongoDB and Cassandra

A Primer on NoSQL Databases for Enterprise Architects: The CAP Theorem and Transparent Data Access with MongoDB and Cassandra

Choosing the right NoSQL database for the job: a quality attribute evaluation

A Cloud-Based Platform for Democratizing and Socializing the Benchmarking Process

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