|
|
|
|
|
|
||||||
|
|
|
|
|
|
Conference Topic |
1.
Addressing the challenges posed by virtualization
and adaptive environments
1.1.
Pushing the virtualization paradigm “higher up the
stack”, using it as a unifying paradigm on all layers of the stack: not only
virtualize (HW) resources like servers, storage, networks, but also virtualize
“resources” such infrastructure or application services. Web Services can be
viewed as one approach towards virtualization of services. As a result, the
resources needed to deliver a certain service can be picked and chosen at every
layer of the IT stack, and need to adapt.
1.2.
The relationship between Service Management and
Virtualization:
Virtualized resources / services need to expose which
On the other hand, Service management is
a meaningful paradigm for real-time management and historic reporting
in a dynamic, virtualized environment.
1.3.
Application Management in virtualized, adaptive
environments
1.4.
Managing grids
1.5.
Managing convergent infrastructures (IP telephony,
unified communication services)
1.6.
Mobility management
1.7.
Traffic management and QoS
2.
Better linking Business and IT
2.1.
linking management and business processes (Business
Activity Monitoring, Business Impact Management)
2.2.
dynamic resource allocation based on business
priorities
2.3.
management of distributed business processes
2.4.
service management in environments that integrate
external partners, such as customers or suppliers (e.g. in extranets, remote
service management, management of services spanning multiple businesses or
Service Providers)
2.5.
end-to-end Web Services management
2.6.
management of the end-user experience
2.7.
integration of personal applications and
intelligent environments
2.8.
management of nomadic and mobile clients
3.
New
approaches for addressing the management challenges posed by large, complex,
interdependent environments
3.1.
Security management
3.2.
cross-organizational integration and collaboration
of management tools from multiple vendors
3.3.
new usability approaches for dealing with
unprecedented amounts, complexity, and dynamics of management information
3.4.
improved maintenance of complex integrated
management solutions in rapidly changing environments
3.5.
improving management automation: automatic
discovery and instrumentation, automatic baselining, smart problem diagnosis,
auto-correction of problems (“self-healing”)
3.6.
principles of Artificial Intelligence, such as
self-organization and emergence, applied to IT management
|