Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things
The widespread use of Internet of Things (IoT) has effect in a growing number of hardware devices that can be controlled and monitored using a variety of applications. It affects the amount of data that must be collected to be analyzed and processed according to user requirement. The greater the da...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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University of Brawijaya
2019-10-01
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| Series: | JITeCS (Journal of Information Technology and Computer Science) |
| Online Access: | http://jitecs.ub.ac.id/index.php/jitecs/article/view/100 |
| _version_ | 1797242782988894208 |
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| author | Rakhmadhany Primananda Reza Andria Siregar Mochamad Atha |
| author_facet | Rakhmadhany Primananda Reza Andria Siregar Mochamad Atha |
| author_sort | Rakhmadhany Primananda |
| collection | DOAJ |
| description |
The widespread use of Internet of Things (IoT) has effect in a growing number of hardware devices that can be controlled and monitored using a variety of applications. It affects the amount of data that must be collected to be analyzed and processed according to user requirement. The greater the data collected results in requirement of storage media that has access management and scalability that are effective and efficient. The data collected in cloud-based infrastructure namely Openstack. Implementation in this research by involving two physical device of server as main infrastructure that located in network of Faculty of Computer Science, Brawijaya University Malang which used as controller node and compute node. Controller can adapt to the use of various dashboard and provide a good access management service for users to request and create instances in Openstack. The resulting data center shows good performance based on scalability, access, and performance of data transmission from IoT sensors. The test is done gradually by adding requirement of compute nodes up to 24 VCPU, 48 GB of RAM, and 235 GB of HD storage in registered instances. Access at the data center can be done either from faculty internal network (private) and faculty external network (public) with access time under 100 ms.
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| first_indexed | 2024-04-24T18:44:42Z |
| format | Article |
| id | doaj.art-e9179d542b924265be1d7ae8280bbcf9 |
| institution | Directory Open Access Journal |
| issn | 2540-9433 2540-9824 |
| language | English |
| last_indexed | 2024-04-24T18:44:42Z |
| publishDate | 2019-10-01 |
| publisher | University of Brawijaya |
| record_format | Article |
| series | JITeCS (Journal of Information Technology and Computer Science) |
| spelling | doaj.art-e9179d542b924265be1d7ae8280bbcf92024-03-27T08:12:58ZengUniversity of BrawijayaJITeCS (Journal of Information Technology and Computer Science)2540-94332540-98242019-10-014210.25126/jitecs.20194210073Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of ThingsRakhmadhany Primananda0Reza Andria Siregar1Mochamad Atha2Universitas BrawijayaUniversitas BrawijayaUniversitas Brawijaya The widespread use of Internet of Things (IoT) has effect in a growing number of hardware devices that can be controlled and monitored using a variety of applications. It affects the amount of data that must be collected to be analyzed and processed according to user requirement. The greater the data collected results in requirement of storage media that has access management and scalability that are effective and efficient. The data collected in cloud-based infrastructure namely Openstack. Implementation in this research by involving two physical device of server as main infrastructure that located in network of Faculty of Computer Science, Brawijaya University Malang which used as controller node and compute node. Controller can adapt to the use of various dashboard and provide a good access management service for users to request and create instances in Openstack. The resulting data center shows good performance based on scalability, access, and performance of data transmission from IoT sensors. The test is done gradually by adding requirement of compute nodes up to 24 VCPU, 48 GB of RAM, and 235 GB of HD storage in registered instances. Access at the data center can be done either from faculty internal network (private) and faculty external network (public) with access time under 100 ms. http://jitecs.ub.ac.id/index.php/jitecs/article/view/100 |
| spellingShingle | Rakhmadhany Primananda Reza Andria Siregar Mochamad Atha Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things JITeCS (Journal of Information Technology and Computer Science) |
| title | Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things |
| title_full | Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things |
| title_fullStr | Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things |
| title_full_unstemmed | Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things |
| title_short | Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things |
| title_sort | cloud based data center design as a data storage infrastructure on internet of things |
| url | http://jitecs.ub.ac.id/index.php/jitecs/article/view/100 |
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