Intelligent workload management (IWM) is an emerging paradigm for IT systems management arising from the intersection of dynamic infrastructure, virtualization, identity management, and the discipline of software appliance development.

1. Workload Management
-Lakshmi Pratyusha Kuppa

2. Workload
 A "workload" can be defined as "the total requests
made by users and applications of a system.“
 Can be broke down into sets of self-contained
units.
 Workload is "platform agnostic”.

3. Intelligent Workload
 Understands its security protocols and processing
requirements.
 Recognizes capacity status.
 Carries access controls as well as log
management.
 Fully integrated with the business service
management layer.

4. Why Intelligent Workload ?
 Issues with workload
 Provisioning.
 Security.
 Compliance.
 IW Can effectively manage
 where they run.
 how they run.
 who can access them.

5. Workload Management in CiRBA
 Model New Demand.
 Intelligent Routing.
 Guarantee Resource Availability with Capacity
Reservations.

6. Model New Demand
 By providing workload profiles of similar
applications or transforming from physical to
virtual environments.
 Only Cirba's analytics determine which workloads
can be transformed.

7. Intelligent Routing
 CirBA’s Reservation Console examines the
requirements of a workload.
 Evaluates the suitability of target environments
based on relative cost, occupancy levels,
software licensing requirements, storage
requirements etc.

8. Guarantee Resource Availability.
 CiRBA reserves the capacity for workload.
 If there isn't enough capacity available, CiRBA
determines what action is required to fulfill the
request, such as adding a new host, increasing
memory or CPU.

9. Infrastructure Supply
Optimization
 Optimize Placements to densify Infrastructure.
 Only Cirba can place workloads considering their
patterns, personalities, profiles, and applicable
policies in order to safely maximize density.
 Cirba optimizes virtual and cloud infrastructure by
rebalancing and right-sizing workloads as
conditions change.

10. Why IWP
 Datacenters are evolving rapidly as applications
become more virtualized and dynamic.
 Pressure on IT teams increased to deliver
dependable, cost-effective services to end users.
 Applications and infrastructure environments
become more fluid, complex, and challenging to
operate.
 It is needed to shift to a more policy-based,
automated approach to managing the building,
provisioning, migration, monitoring, measuring,
and securing of corporate workloads.

11. Why IWP
 Intelligent workload management integrates
technologies
 Software appliances for intelligent workload
packaging and deployment.
 Policy-based workload management
 Access/identity management.
 Configuration and performance monitoring,
reporting, and analytics

12. Thank You