{"id":3849,"date":"2017-04-08T06:51:17","date_gmt":"2017-04-08T01:21:17","guid":{"rendered":"http:\/\/www.allerin.com\/blog\/?p=3849"},"modified":"2017-04-08T00:57:14","modified_gmt":"2017-04-07T19:27:14","slug":"2-high-performing-data-architectures-for-iot","status":"publish","type":"post","link":"https:\/\/www.allerin.com\/blog\/2-high-performing-data-architectures-for-iot\/","title":{"rendered":"2 high performing data architectures for IoT"},"content":{"rendered":"

\"\"<\/a><\/p>\n

Devices that are connected to the Internet, and with each other, are generating volumes of data on a scale never seen before. All this data must be stored somewhere. Service providers are considering changes to their data storage architecture for IoT, as they want to increase their storage capacities without breaking the bank.<\/p>\n

Current Architecture: Redundant and Slow<\/h1>\n

The current data center architecture is built on appliances that come with proprietary and mandatory software. The software is designed for the hardware and vice versa and they come together in a package. This type of configuration is convenient and easy to use. These systems come with redundant copies of expensive components that are used for anticipating and preventing failure caused by reliance on a single point of entry.\u00a0 These redundant extra components result in higher hardware costs, greater energy usage, and additional layers of complexity. Companies implementing IoT systems<\/a> begin to consider how to scale out their data centers and account for costs involved in revamping the traditional architecture skyrocket.<\/p>\n

<\/h6>\n

For overcoming storage related issues, organizations are looking for alternative high performing data storage approaches like the ones mentioned here.<\/p>\n

\"\"<\/a><\/p>\n

Software-Defined Storage Architecture for IoT<\/h1>\n

This type of storage typically takes features that are found in hardware and moves them to the software layer. This eliminates the dependency on server \u201cappliances\u201d as the software is hard-wired into the system. This option for storage helps in providing the scalability and speed that IoT demands.<\/p>\n

<\/h6>\n

Software-defined storage architecture can be installed on any hardware platform, thereby allowing the user to tailor both the hardware and the software according to the company\u2019s needs. The customization feature of this software gives the user greater freedom to allocate his or her budget precisely as needed for the task at hand. It also frees the software from the hardware, allowing administrators to choose inexpensive commodity servers.<\/p>\n

<\/h6>\n

Administrators are also free to consider what their businesses actually need, and select only those components that can enhance their further growth goals. This architecture helps in eliminating the potential bottlenecks consisting of problems such as single-entry-point models. Data in this architecture is handled much faster and more efficiently.<\/p>\n

Responsive Storage Architecture for IoT<\/h1>\n

A responsive architecture leverages data-response processing, as well as the cognitive computing that exists at the network edge. Therefore, this architecture is closer to the sensors and devices that are being monitored and controlled. Furthermore, a responsive architecture is able to bind data directly to rules, policies, and behaviors. This helps in tracking desired behavior back to the devices, for example, self-healing issues that arise in a jet engine in flight. Additionally, such a system helps in providing automated learning of data patterns for automatically augmenting the rules, policies, and behaviors. The resulting benefits are high-performance data processing and direct interactions, which thereby improve the IoT system\u2019s value.<\/p>\n

<\/h6>\n

For yielding higher performing and better designed IoT systems<\/a>,<\/u> organizations are required to implement better storage architecture and investment of time and money in the development process, thereby helping organizations in cost-effectively handling IoT\u2019s increasing demands and complexity.<\/p>\n","protected":false},"excerpt":{"rendered":"

Devices that are connected to the Internet, and with each other, are generating volumes of data on a scale never seen before. All this data must be stored somewhere. 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