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Autonomous cloud
resource optimization for
real-time IoT devices
MIRRATM
is a series of real-time task-scheduling algorithms as part
of a middleware that communicates between the device and the
application server as cloud computing resources.
MIRRATM
is a stand-alone controller installed in each virtual
machine (VM) within the cloud environment to optimize computing
and storage resources.
MIRRATM
contains a task scheduler to prioritize critical and
time-sensitive data traffic. It can also predict cloud resource
usage and scale up or down automatically and dynamically.
With the MIRRATM
autonomous system, save time and money by
reducing the amount of IT staff and idle cloud resources.
Get in touch! Amerra Connect is seeking
companies to collaborate on a pilot program.
Internet-connected device companies providing real time
IoT monitoring systems.
Graphic by Daisy Chung
MIRRA
WHATIS MIRRA
WHOSHOULD USE MIRRA
HOWMIRRA WORKS
WHYUSE MIRRA
Interested ?
+ =
Device Load Balancer
Traditional device/cloud setup
MIRRA installed in traditional device/cloud setup
Auto-Scaler
App
Server
MIRRA
App
Server
MIRRA
Database
Replicated
Database
Files
VMlearn
monitor
monitor
App
servers
Unscheduled,
non-critical
Scheduled,
non-critical
Scheduled,
critical
Unscheduled,
critical
App
servers
Status Quo
Method
Type of
Data Processing
Using
MIRRA
Similar to highway lane
management, traffic incidents
result in congestion. Without
priority consideration,
scheduled traffic may miss
deadlines, and critical data
can be delayed.
MIRRA real-time cloud
controller can automatically
scale cloud resource usage.
The unscheduled, critical
real-time data arrives at the
app server without delay.
Device Application
server
MIRRA
Solution?
MIRRA
Internet Manage
IoT market is
set for an
accelerated
growth “The cloud” will have
a difficult time
scaling efficiently.
MIRRA cloud resource
optimization rate:
69%
Based on simulation results in a private
network and the OpenStack cloud.
Need real numbers?
$35,086+
Estimated 8-month
cost savings as a result
of using MIRRA
Companies pay for
unnecessarily idle
cloud resources.
Reduce
IT staff
Reduce
idle resources
Increase
profit margins
By 2019,
an estimation
of more than
30 billion
IoT devices
will be
connected
6 billion
2014
©2015 - Amerra Connect, LP

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Mirra_infographic_with links

  • 1. Autonomous cloud resource optimization for real-time IoT devices MIRRATM is a series of real-time task-scheduling algorithms as part of a middleware that communicates between the device and the application server as cloud computing resources. MIRRATM is a stand-alone controller installed in each virtual machine (VM) within the cloud environment to optimize computing and storage resources. MIRRATM contains a task scheduler to prioritize critical and time-sensitive data traffic. It can also predict cloud resource usage and scale up or down automatically and dynamically. With the MIRRATM autonomous system, save time and money by reducing the amount of IT staff and idle cloud resources. Get in touch! Amerra Connect is seeking companies to collaborate on a pilot program. Internet-connected device companies providing real time IoT monitoring systems. Graphic by Daisy Chung MIRRA WHATIS MIRRA WHOSHOULD USE MIRRA HOWMIRRA WORKS WHYUSE MIRRA Interested ? + = Device Load Balancer Traditional device/cloud setup MIRRA installed in traditional device/cloud setup Auto-Scaler App Server MIRRA App Server MIRRA Database Replicated Database Files VMlearn monitor monitor App servers Unscheduled, non-critical Scheduled, non-critical Scheduled, critical Unscheduled, critical App servers Status Quo Method Type of Data Processing Using MIRRA Similar to highway lane management, traffic incidents result in congestion. Without priority consideration, scheduled traffic may miss deadlines, and critical data can be delayed. MIRRA real-time cloud controller can automatically scale cloud resource usage. The unscheduled, critical real-time data arrives at the app server without delay. Device Application server MIRRA Solution? MIRRA Internet Manage IoT market is set for an accelerated growth “The cloud” will have a difficult time scaling efficiently. MIRRA cloud resource optimization rate: 69% Based on simulation results in a private network and the OpenStack cloud. Need real numbers? $35,086+ Estimated 8-month cost savings as a result of using MIRRA Companies pay for unnecessarily idle cloud resources. Reduce IT staff Reduce idle resources Increase profit margins By 2019, an estimation of more than 30 billion IoT devices will be connected 6 billion 2014 ©2015 - Amerra Connect, LP