CLOUD-BASED CAPTURE & CONSOLIDATING
In the third required element of an IoT system, sensor data is transmitted over the Internet to a server that pulls in and captures the message, identifies the source and topic of each component, and stores it in a structured data base. Middleware residing in the cloud server allows inquiries into the data base to retrieve data belonging to a specific sensor, end user, or creative system.
The IOT Architecture group knows there is no single cloud solution that works for every device, so we propose cost-effective designs that work with all major cloud services, or we can design around your custom cloud solution. There’s no cloud capture need that’s too small, large or complicated to take on together.
KEEP YOUR HEAD IN THE CLOUDS
A private cloud is implemented inside the corporate firewall and control by a limited, authorized set of identities, such as an IT department. Private clouds provide more control and security of data, with independent control of the network and its data within the company, rather than a service or platform with recurring third-party costs.
Public cloud describes the standard cloud computing model. A service provider makes resources available to the public over the Internet, such as storage and applications. Often a public cloud is pay-per-usage, providing hardware, bandwidth and application costs, with varying security depending on the provider managing the platform.
Hybrid clouds combine private and public clouds, with external management on the part of a provider and other aspects managed in-house. For companies with applications citing privacy and regulatory demands, a combination may strike the right balance for the efficiency, security and cost concerns, while maintaining the investment in their private infrastructure.
Community clouds share infrastructure between several different organizations with the same concerns. Practical requirements such as regulatory requirements or audits may bring multiple organizations to one cloud, or performance requirements may put businesses on one shared high-speed connection. Community clouds are generally paid for under a tenant structure determined by the provider or individual businesses, in-home or off-site, with or without the use of a common service provider.
Distributed cloud networks permit multiple clients to access distributed applications, stored remotely in a hierarchy so that parallel tasks can be completed or data simultaneously accessed. Distributed cloud computing structures allow an organization to keep sensitive data on-site and enable IoT devices to continue operating in cases when network connections are lost.
This “network of networks” closely mirrors today’s Internet through an interconnected federation of rented-out connectivity resources, with availability based on supply and demand. Providing optional peer-to-peer sharing for clients on the intercloud infrastructure, providers minimize power consumption while maximizing resources and meeting service-level agreements in a balanced architecture, much like an electrical grid. By permitting cloud providers to use resources outside of the intercloud when demand increases, the intercloud in turn rents out its resources when cloud providers need additional space, freeing up their data capability.
The multicloud model is another cloud computing model used to optimize resources and cut cost. For example, purchasing certain resources from one cloud vendor and backup resources from another safeguards against both future price increase or bandwidth changes from one or the other, and potential disasters in the event of system failure at one vendor. The multicloud is essentially insurance and an acknowledgement that a business can’t rely on just one supplier for all moving parts. A multicloud can eliminate monopoly and offer flexible choices in system customization, or just a broader distribution for your data workload.