Performance Analysis of an Hyperconverged Infrastructure using Docker Containers and GlusterFS

被引：1

作者：

Leite, Rodrigo ^{[1
]}

Solis, Priscila ^{[1
]}

Alchieri, Eduardo ^{[1
]}

机构：

[1] Univ Brasilia UnB, Dept Comp Sci, Appl Comp Masters Program, Brasilia, DF, Brazil

来源：

CLOSER: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE | 2019年

关键词：

Hyperconverged Infrastructures; GlusterFS; Containers; DFS; Cassandra; MongoDB; Docker; Cloud; Storage;

D O I：

10.5220/0007718003390346

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The adoption of hyperconverged infrastructures is a trend in datacenters, because it merges different type of computing and storage resources. Hyperconverged infrastructures use distributed file systems (DFS) to store and replicate data between multiple servers while using computing resources of the same servers to host virtual machines or containers. In this work, the distributed file system GlusterFS and the hypervisor VMware ESXi are used to build an hyperconverged system to host Docker containers, with the goal of evaluate the storage performance of this system compared to traditional approach where data is stored directly on the server's disks. The performance of the container's persistent storage is evaluated using the benchmark tool Yahoo Cloud Service Benchmark (YCSB) against the NoSQL databases Cassandra and MongoDB under differents workloads. The NoSQL database's performance was compared between the hyperconverged system with multiples disk configurations and a traditional system with local storage.

引用

页码：339 / 346

页数：8

共 14 条

[1] Abramov V. E., 2013, 14th Scientific Conference on the "theory and practice of the struggle against parasitic diseases", Moscow, Russia, 21-23 May 2013, P14
[2] GPFS-based implementation of a hyperconverged system for software defined infrastructure
Azagury, A. C.
Haas, R.
Hildebrand, D.
Hunter, S. W.
Neville, T.
Oehme, S.
Shaikh, A.
[J]. IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2014, 58 (2-3)
[3] Bhimani J., 2016, Performance Computing and Communications Conference (IPCCC), 2016 IEEE 35th International, P1, DOI [10.1109/PCCC.2016.7820650, DOI 10.1109/PCCC.2016.7820650]
[4] Cooper NE, 2010, UNDER CONTROL: GOVERNANCE ACROSS THE ENTERPRISE, P143, DOI 10.1007/978-1-4302-1593-6_10
[5] Fattahi T, 2017, 2017 9TH INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE TECHNOLOGY (IKT 2017), P166, DOI 10.1109/IKT.2017.8258635
[6] Isolation in Docker through Layer Encryption
Giannakopoulos, Ioannis
Papazafeiropoulos, Konstantinos
Doka, Katerina
Koziris, Nectarios
[J]. 2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2017), 2017, : 2529 - 2532
[7] Huang J, 2017, PROCEEDINGS OF FAST '17: 15TH USENIX CONFERENCE ON FILE AND STORAGE TECHNOLOGIES, P375
[8] A guideline for data placement in heterogeneous distributed storage systems
Kaneko, Shun
Nakamura, Takaki
Kamei, Hitoshi
Muraoka, Hiroaki
[J]. PROCEEDINGS 2016 5TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS IIAI-AAI 2016, 2016, : 942 - 945
[9] Maximizing the performance of scientific data transfer by optimizing the interface between parallel file systems and advanced research networks
Mills, Nicholas
Feltus, F. Alex
Ligon, Walter B., III
[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 79 : 190 - 198
[10] Performance analysis of open-source distributed file systems for practical large-scale molecular ab initio, density functional theory, and GW plus BSE calculations
Roch, Loic M.
Aleksiev, Tyanko
Murri, Riccardo
Baldridge, Kim K.
[J]. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, 2018, 118 (01)

← 1 2 →