Applying Autonomics to Create an Intelligent Ubiquitous Environment

1
Applying Autonomics to Create an Intelligent
Ubiquitous Environment Young J. Won, Hyojung
Shin, Yeongrak Choi, YoonSeon Han, John Strassner
Business-Aware Services
Introduction and Motivation

• Ubiquitous Computing
• Integrates information processing into everyday
  activities
• User should not be aware of computing taking
  place
• Ubiquitous Environment
• Everything is networked and communicates, aware
  of your needs, and of the role they play
• Same services at home, at work, in a hotel...

• Customers want Context-Aware Services
• Management Cost Reduction
• Autonomics correlates diverse data, making
  management simpler and more effective
• OPEX reduction through task automation
• CAPEX reduction through re-purposing of
  applications

Context and Tasks
Optimized Service
Semantic Processing
Research Questions

• How is Information Shared and Disseminated?
• How is Context Computed?
• How are Tasks Defined and Assigned?
• Maximize use of systems having special functions
• Bridge gaps between expertise and capabilities
• Addressing new interaction paradigms (e.g.,
  replacing linear with collaborative interfaces)

• Model-Driven Engineering and Management
• FOCALE produces a set of semantic relationships
  that can be used to connect the network data with
  the SLA through inferences from two different
  models.
• FOCALE than translates this to vendor-specific
  commands and reconfigures the device.

Semantic Foundation

• Translation between Different Constituencies
• Fusing Semantic Data into Contextual Knowledge

Conclusions and Future Research

• Ubiquitous Computing is a paradigm shift
• Autonomics manages complexity
• Management must become smarter
• Transform data from diverse data sources to infer
  context
• Make decisions based on fused knowledge
• Dynamically generate code according to context
  anduser needs to deliver business services
• Work on Cognitive Management
• Develop a new knowledge representation that
  better facilitates the fusion of knowledge
• Prototype a new genre of intelligent query
  applications that are based on semantics, not
  syntax
• Develop a new cognition model, inspired by how
  the human brain works, to manage any type of node

• Semantic Search
• A system which understands the syntax and
  semantics of the user's query

References
M. Weiser, Open House, in Review, the web
magazine of the Interactive Telecommunications
Program of New York University, March, 1996 J.
Strassner, D. OSullivan, Knowledge Management
for Context-Aware, Policy-Based Ubiquitous
Computing Systems, Proc. Of the 6th Intl.
Workshop on Managing Ubiquitous Communications
and Services, June 2009, pgs 67-76 A. Wong, P.
Ray, N. Parameswaran, J. Strassner, Ontology
mapping for the inter-operability problem in
network management, Journal on Selected Areas in
Commu-nications, Oct. 2005, Vol. 23, Issue 10,
page(s) 2058- 2068 J. Strassner, N. Agoulmine,
E. Lehtihet, FOCALE A Novel Autonomic
Networking Architecture, ITSSA Journal, Vol. 3,
No. 1, May 2007, pages 64-791