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Amazon Elastic Block Store (Amazon EBS) provides persistent block level storage volumes for use with Amazon EC2 instances in the AWS Cloud.
Each Amazon EBS volume is automatically replicated within its Availability Zone to protect you from component failure, offering high availability and durability. Amazon EBS volumes offer the consistent and low-latency performance needed to run your workloads. With Amazon EBS, you can scale your usage up or down within minutes – all while paying a low price for only what you provision.

+ Reliable, secure storage
Each Amazon EBS volume is automatically replicated within its Availability Zone to protect you from component failure. Amazon EBS encryption provides seamless support for data at rest security and data in motion security between EC2 instances and EBS volumes. Amazon’s flexible access control policies allow you to specify who can access which EBS volumes. Access control plus encryption offers a strong defense-in-depth security strategy for your data.

+ Consistent and low-latency performance
Amazon EBS General Purpose (SSD) volumes and Amazon EBS Provisioned IOPS (SSD) volumes deliver low-latency through SSD technology and consistent I/O performance scaled to the needs of your application. Stripe multiple volumes together to achieve even higher I/O performance.

+ Backup, restore, innovate
Backup your data by taking point-in-time snapshots of your Amazon EBS volumes. Boost the agility of your business by using Amazon EBS snapshots to create new EC2 instances.

+ Quickly scale up, easily scale down
Increase or decrease block storage and performance within minutes, enjoying the freedom to adjust as your needs evolve. Commission thousands of volumes simultaneously.

+ Geographic flexibility
Amazon EBS provides the ability to copy snapshots across AWS regions, enabling geographical expansion, data center migration, and disaster recovery.

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  • SUPPLIER
  • Amazon Web Services
    Amazon Web Services has developed the managed cloud platform AWS IoT to let connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.
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  • Process Control & Optimization (PCO)
    Process Control and Optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints.The PCO market is being driven by rising demand for energy efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations.Fundamentally, there are three parameters that can be adjusted to affect optimal performance:- Equipment optimizationThe first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks.- Operating proceduresOperating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual.- Control optimizationIn a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
    Fog Computing
    Fog computing refers to a decentralized computing structure, where resources, including the data and applications, get placed in logical locations between the data source and the cloud; it also is known by the terms ‘fogging’ and ‘fog networking.’The goal of this is to bring basic analytic services to the network edge, improving performance by positioning computing resources closer to where they are needed, thereby reducing the distance that data needs to be transported on the network, improving overall network efficiency and performance. Fog computing can also be deployed for security reasons, as it has the ability to segment bandwidth traffic and introduce additional firewalls to a network for higher security. 
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