Argus: A Multi-tenancy NoSQL store with workload-aware resource reservation

Zeng, Jiaan; Plale, Beth

doi:10.1016/j.parco.2016.06.003

Cited by 8 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It will be difficult to ensure fine‐grained disk access since concurrent accesses are more expensive for disks. It should be noted that unlike the prior works such Argus and Libra, KeyValueServe does not focus on disk‐I/O cost models or deal with disk or cache reservations and scheduling.…”

Section: Discussionmentioning

confidence: 99%

“…KeyValueServe, unlike MeT, proposes a multiplexed channel reuse–based scheme to improve the throughput along with several design features, without considering node classification and group data assignments. Argus proposes a workload‐aware resource reservation NoSQL store. Argus targets system‐wide fair share like Pisces and uses stochastic hill climbing to find optimal resource reservations with changing workload resource demands.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

KeyValueServe^†: Design and performance analysis of a multi‐tenant data grid as a cloud service

Das

Iyengar

Mueller

2018

Concurrency and Computation

View full text Add to dashboard Cite

Distributed key-value stores have become indispensable for large-scale cluster applications.Many cloud services have deployed in-memory data grids for their enterprise infrastructures and support multi-tenancy services. However, most services do not offer fine-grained multi-tenant resource sharing. To this front, we present KeyValueServe, a low overhead cloud service with features aiding resource management. Results based on Hazelcast, a popular open source data grid, indicate that KeyValueServe can efficiently provide services to tenants without degrading performance. Providing consistent performance to all tenants for fluctuating workloads is still difficult.Performance problems occur at scale with diverse tenant requirements. To address this, the paper provides insights to contention and performance bottlenecks. Through experimental analysis, we uncover scenarios of performance degradation and demonstrate optimized performance via coalescing multiple clients' requests. Our work indicates that a Hazelcast cluster can get congested with multiple concurrent connections when processing client requests, resulting in poor performance. KeyValueServe can reduce the number of parallel connections maintained for client requests, resulting in improved performance.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

KeyValueServe^†: Design and performance analysis of a multi‐tenant data grid as a cloud service

Das

Iyengar

Mueller

2018

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…Two studios proposed their own stores. [72] Equipped it with a resource reservation functionality to prevent performance issues in a multi-tenant environment, specifically with cache and disk space reservation. The one developed in [32] implements a key-cube data model, which supports high-dimensional data, and partitions into regions, improving query performance by reducing search space.…”

Section: Rq-3 What Characteristics Should Nosql Database Management T...mentioning

confidence: 99%

NoSQL Database Modeling and Management: A Systematic Literature Review

Aguilar Vera,

Naal Jácome,

Díaz Mendoza

et al. 2023

Rev. Fac. Ing.

View full text Add to dashboard Cite

The NoSQL databases that emerged this century were created to solve the limitations of relational database systems due to the different types of data that have appeared for information processing. In this paper, we present the results of a secondary study carried out to find and synthesize the research made up to now on modeling processes, characteristics of the used types of data, and management tools for NoSQL Databases. Currently, four types are recognized and classified according to the data model they use: key-value, document-oriented, column-based, and graph-based. With this study, it was possible to identify that the most frequently type of NoSQL database model is that of documents because it offers greater flexibility and versatility compared to the other three models. Although it offers more complex search methods, in terms of data, column and document schemas are the ones that usually describe their characteristics. It was also possible to observe a trend in the use of the column-oriented model and the document-oriented model in the management tools, and, although they all comply with the basic functionalities, the differences lie in the way in which the information is stored and the way they can be accessed.

show abstract

“…However, operational efficiency that needs to be considered is low operational costs. As research conducted by [8], [9], the implementation of multi-tenancy in the cloud with not only structured query language (NoSQL) data storage allowed more effective resource sharing among tenants, therefore lowering the operational costs [10]. Another way to reduce operational costs is by implementing a single database on a multi-tenant software-as-a-service (SaaS) model to serve multiple e-commerce such as online stores [11] and business support [7].…”

Section: Introductionmentioning

confidence: 99%

“…Architectural principles commonly used in cloud computing applications include multi-tenant, multi-user and multi-instance, where these applications allow at one time to serve more than one user with various tasks [19], [20]. Multi-tenant is an architectural principle that can be stated to be relatively new [8]. Unlike multi-users and multi-instances, multi-tenants are able to share one application for several tenants with different locations.…”

Section: Introductionmentioning

confidence: 99%

The multi-tenancy queueing system “QuAntri” for public service mall

et al. 2022

View full text Add to dashboard Cite

In the new-normal era, public services must make various adjustments to keep the community safe during the COVID-19 pandemic. The Public Service Mall is an initiative to put several public services offices in a centralized location. However, it will create a crowd of people who want access to public service. This paper evaluates multi-tenant models with the rapid adaptation of cloud computing technology for all organizations' shapes and sizes, focusing on multi-tenants and multi-services, where each tenant might have multiple services to offer. We also proposed a multi-tenant architecture that can serve queues in several places to prevent the spread of COVID-19 due to the crowd of people in public places. The design of multi-tenants and multi-services applications should consider various aspects such as security, database, data communication, and user interface. We designed and built the "QuAntri'' business logic to simplify the process for multi-services in each tenant. The developed system is expected to improve tenants' performance and reduce the crowd in the public service. We compared our agile method for system development with some of the previous multi-tenant architectures. Our experiments showed that our method overall is better than the referenced model-view-controller (MVC), model-view-presenter (MVP), and model-model-view-presenter (M-MVP).

show abstract

Argus: A Multi-tenancy NoSQL store with workload-aware resource reservation

Cited by 8 publications

References 12 publications

KeyValueServe^†: Design and performance analysis of a multi‐tenant data grid as a cloud service

KeyValueServe^†: Design and performance analysis of a multi‐tenant data grid as a cloud service

NoSQL Database Modeling and Management: A Systematic Literature Review

The multi-tenancy queueing system “QuAntri” for public service mall

Contact Info

Product

Resources

About

Argus: A Multi-tenancy NoSQL store with workload-aware resource reservation

Cited by 8 publications

References 12 publications

KeyValueServe†: Design and performance analysis of a multi‐tenant data grid as a cloud service

KeyValueServe†: Design and performance analysis of a multi‐tenant data grid as a cloud service

NoSQL Database Modeling and Management: A Systematic Literature Review

The multi-tenancy queueing system “QuAntri” for public service mall

Contact Info

Product

Resources

About

KeyValueServe^†: Design and performance analysis of a multi‐tenant data grid as a cloud service

KeyValueServe^†: Design and performance analysis of a multi‐tenant data grid as a cloud service