DoT(Database for IoT): Requirements and Selection Criteria

Gurav, T. H.; Kudale, Roma A.

doi:10.5120/ijca2017913021

Cited by 2 publications

(1 citation statement)

References 5 publications

(4 reference statements)

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“…To support the connection of these devices, IoT applications are needed to retrieve, store, and process the data that obtained from sensor. The data of IoT have some criteria such as diversity, speed, scale, and volume [1] [2]. The more variety of data obtained, with a large volume, add scale, and fast data processing speed, then the settings and monitoring can be done accurately for various uses.…”

Section: Introductionmentioning

confidence: 99%

Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things

Primananda

Siregar

Atha

2019

JITeCS

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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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Section: Introductionmentioning

confidence: 99%

Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things

Primananda

Siregar

Atha

2019

JITeCS

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Convergence and Interoperability for the Energy Internet: From Ubiquitous Connection to Distributed Automation

Guerrero

et al. 2020

EEE Ind. Electron. Mag.

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To increase the share of distributed renewable energy resources and enable a flexible energy transaction network with customer-engaged production, innovative energy-aware service as well as real-time balancing of supply and demand, Energy Internet is proposed to integrate advanced IoT-based architectures, ICT-based end-to-end digital energy chains, customer-centric energy efficiency programs, energy-aware real-time platforms and intelligent distributed control algorithms. But how can we achieve convergence and interoperability of all these heterogeneous resources from different levels and domains? This article comprehensively discussed how IoT-enabled Micrgrids as controllable units to help achieve energy digitalization from two perspectives: one is vertical convergence from things-based communication to energy-based automation and the other is horizontal interoperability from Home Area Network (HAN) to Wide Area Network (WAN). Finally, the IoT-MGLab at Aalborg University is discussed as a specific instance to show how to establish an IoT-enabled Microgrid based platform for achieving Energy Internet.

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DoT(Database for IoT): Requirements and Selection Criteria

Cited by 2 publications

References 5 publications

Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things

Cloud-based Data Center Design as a Data Storage Infrastructure on Internet of Things

Convergence and Interoperability for the Energy Internet: From Ubiquitous Connection to Distributed Automation

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