Improving Dynamic Scaling Performance of Cassandra

Yamaguchi, Saneyasu; Morimitsu, Yuki

doi:10.1587/transinf.2016dap0009

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…This comprehensive study is valuable and useful for using and improving Cassandra. We have proposed a method to improve Cassandra performance in an aspect of improving disk I/O [17]. We studied the file access frequency of Cassandra and found a large difference in access frequency per byte.…”

Section: Cassandra Performance Improvementmentioning

confidence: 99%

Deeply Programmable Application Switch for Performance Improvement of KVS in Data Center

ITO,

KANAYA,

NAKAO

et al. 2024

IEICE Trans. Inf. & Syst.

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The concepts of programmable switches and softwaredefined networking (SDN) give developers flexible and deep control over the behavior of switches. We expect these concepts to dramatically improve the functionality of switches. In this paper, we focus on the concept of Deeply Programmable Networks (DPN), where data planes are programmable, and application switches based on DPN. We then propose a method to improve the performance of a key-value store (KVS) through an application switch. First, we explain the DPN and application switches. The DPN is a network that makes not only control planes but also data planes programmable. An application switch is a switch that implements some functions of network applications, such as database management system (DBMS). Second, we propose a method to improve the performance of Cassandra, one of the most popular key-value based DBMS, by implementing a caching function in a switch in a dedicated network such as a data center. The proposed method is expected to be effective even though it is a simple and traditional way because it is in the data path and the center of the network application. Third, we implement a switch with the caching function, which monitors the accessed data described in packets (Ethernet frames) and dynamically replaces the cached data in the switch, and then show that the proposed caching switch can significantly improve the KVS transaction performance with this implementation. In the case of our evaluation, our method improved the KVS transaction throughput by up to 47%.

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Section: Cassandra Performance Improvementmentioning

confidence: 99%

Deeply Programmable Application Switch for Performance Improvement of KVS in Data Center

ITO,

KANAYA,

NAKAO

et al. 2024

IEICE Trans. Inf. & Syst.

Self Cite

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“…The values of both keys and values can be either a regular set of characters or a complex compound object. Databases using key-value pairs provide a high degree of parallelism and horizontal scaling that is often not possible with other database models [10]. The features of the "key-value" DBMS include:…”

Section: Key-value-pair Datastoragementioning

confidence: 99%

Using a DBMS based on various data models in solving problems of cartography and geoinformatics

Kolesnikov

Кикин

2021

E3S Web Conf.

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An increasing number of database management systems are expanding their functionality to work with various types of spatial data. This is true for both relational and NoSQL data models. The article describes the main features of those data models for which the functions of storing and processing spatial data are implemented. A comparative analysis of the performance of typical spatial queries for database management systems based on various data models, including multi-model ones, is carried out. The dataset on which the comparison is performed is presented in the form of three blocks of OpenStreetMap vector data for the territory of the Novosibirsk region. Based on the results of the study, recommendations are made on the use of certain data models, depending on the available data and the tasks to be solved.

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