Open AccessMEASURING PERFORMANCE OF DATABASE SYSTEMS FOR APPLICATIONS OF IOT
Author(s) -
Samson Paul K,
Ateeq Ahmed H,
Emmanuel Raju A
Publication year - 2020
Publication title -
international journal of engineering technology and management sciences
Language(s) - English
Resource type - Journals
ISSN - 2581-4621
DOI - 10.46647/ijetms.2020.v04i05.009
Subject(s) - computer science , cloud computing , database , internet of things , analytics , flexibility (engineering) , edge computing , server , distributed database , database server , enhanced data rates for gsm evolution , computer network , world wide web , operating system , telecommunications , statistics , mathematics
Choosing the right database platform(s) for IoT solutions is daunting. First, IoT solutions can be distributed across geographical regions. As opposed to a centralized cloud-based solution, more solutions are adopting a combination of fog computing at the edge and cloud computing. As such, your database platforms must offer you the flexibility to process the data at the edge and synchronize between the edge servers and the cloud. Second, depending on your IoT use cases, the capabilities you want in your database could range from real-time data streaming, data filtering and aggregation, near-zero latency read operations, instant analytics, high availability, geo distribution, schema flexibility and so on. This article walks you through the four steps in choosing the right database platforms for your IoT solutions.The amount of data stored in IoT databases increases as the IoT applications extend throughout smart city appliances, industry and agriculture. Contemporary database systems must process huge amounts of sensory and actuator data in real-time or interactively. Facing this first wave of IoT revolution, database vendors struggle day-by-day in order to gain more market share, develop new capabilities and attempt to overcome the disadvantages of previous releases, while providing features for the IoT.