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Towards Autonomic Mobile Device Management selfdiagnostics of the mobile device

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Upgrade part(s) of the software on the mobile device, or install brand new software packages ... Autonomic managers are arranged in hierarchical fashion ... – PowerPoint PPT presentation

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Title: Towards Autonomic Mobile Device Management selfdiagnostics of the mobile device


1
Towards Autonomic Mobile Device Management (
self-diagnostics of the mobile device )
EECE702A Mobile Internet (Fall, 2006) 1st
presentation
Oct. 10. 2006 Joon-Myung Kang, and Byung-Chul
Park Distributed Processing Network Management
Lab. Dept. of Computer Science and
Engineering POSTECH, Korea eliot,
fates_at_postech.ac.kr
2
Presentation Outline
  • Introduction
  • Related Work
  • Terminal Management in 4G Networks
  • Mobile Device Management
  • Mobile Device Diagnostics
  • Autonomic Computing
  • Conclusion

3
Introduction1
  • Heterogeneous network environment

What should be defined for supporting the
heterogeneous network on Mobile Device?
4
Introduction2
  • Future Mobile Network and Device

Camera
DMB
MP3
M-banking
WLAN, LAN
Cam
Navigation
GPRS/UMTS cdma2000
PAN Bluetooth
DSL, Cable TV
access operator
corporation
ISP
ASP
5
Introduction3
  • Motivation
  • Network heterogeneity
  • Network and service convergence
  • Complex configuration
  • Multiple interfaced device
  • Mobile devices and service High technology,
    High performance, various and so on
  • For end-users, DIFFICULT TO USE!!! ? Management
    of complex device is required
  • Goal
  • To provide flexible and scalable mobile device
    management mechanism for reconfigurable systems
    using the autonomic computing concept to make
    end-users to use their mobile devices and
    services easily

6
Terminal Management in 4G Network
4G Operation Management System From Prof.
James Won-Ki Hongs paper 1
7
Mobile Device Management1
  • Definition
  • A tool to alleviate operators and end-users
    problems and consequently improve product and
    service perceived qualityand end-user
    satisfaction on using mobile devices
  • Problem
  • Device usability characteristics
  • Increased terminal complexities
  • Increased numbers of mobile devices
  • Increased stratification of the value-chain
  • Early adoption
  • Goal
  • Protect Network Resources
  • Protect Early Investments
  • Minimize the cost of service delivery
  • Facilitate Device Usability
  • Reference
  • TMF 515 Mobile Terminal Equipment Management
    Business Agreement

8
Mobile Device Management2
  • Remote parameter operations
  • Provisioning of key parameters to enable remote
    configuration and service activation (e.g.
    browser, GPRS, mailbox settings)
  • Remote diagnostics and troubleshooting
  • Remotely identify and resolve parameter-related
    error situations on the handset via the mobile
    network
  • Software operations
  • Upgrade part(s) of the software on the mobile
    device, or install brand new software packages
  • Enable new revenue
  • Ensure that all the devices have correct service
    settings
  • Service activation
  • Rapid take-off and easy adoption of new services
  • Keeping track of device capability information
  • Ensure that services are presented and delivered
    to the user in the correct format
  • Cost savings
  • Speed up the customer care process and invest in
    only one device management solutions

9
Mobile Device Diagnostics
  • What is Device Diagnostics?
  • Using mobile device for collection and retrieval
    of information useful for diagnostics and
    performance measurements
  • Objects of Diagnostics
  • Enabling operators to proactively detect and
    repair troubles before the users are impacted
  • Determining actual or potential problems with a
    device
  • Entities that provide diagnostics information
  • OS ? State, configuration parameters network
    interfaces, radio, battery storage, cpu,
    processes, memory
  • VMs ? State, configuration parameters, processes,
    memory
  • Libraries ? State, configuration parameters
  • Applications ? State, configuration parameters

10
Usage Scenario
  • Fixing Battery Consumption Problems

11
Diagnostics Work Item
  • Diagnostics Policies Management
  • Support for specification and enforcement for
    policies related to the management of diagnostics
    features and data
  • Fault Reporting
  • Enable the device to report faults to the network
    as the trouble is detected at the device
  • Performance Monitoring
  • Collecting and reporting key performance
    indicators (KPIs) data
  • Device Interrogation
  • Enable the network to query the device for
    additional diagnostics data in response to a
    fault
  • Remote Diagnostics Procedure Invocation
  • Enable operators to invoke specific diagnostics
    procedures embedded in the device
  • Remote Device Repairing
  • Enable operators to invoke specific repairing
    procedures based on the results of diagnosis
    procedure

OMA DM Diagnostics and Monitoring Requirements
Draft 1.0 (12, June 2006)
12
Autonomic Computing1
  • Autonomic
  • Pertaining to operating system that responds
    automatically to problems or system failures. (
    cf. Autonomic Nervous System )
  • Autonomic computing 7
  • Proposed by IBM to provide the enterprise with
    agility speed to respond to any customer
    demand, market opportunity or external threat
  • A computing environment with the ability to
    manage itself and dynamically adapt to change in
    accordance with business policies and objectives.
  • Application of technology to manage technology
    and reduce need for human intervention

13
Autonomic Computing Attributes
Self-managing systems that deliver 7 8 9
Increased Responsiveness Adapt to dynamically
changing environments
Business Resiliency Discover, diagnose,and act
to prevent disruptions
Operational Efficiency Tune resources and balance
workloads to maximize use of IT resources
Secure Information and Resources Anticipate,
detect, identify, and protect against attacks
14
Autonomic Manager
Manageability Interface
Managed Element
Foundation for building self-managing systems
From 11
15
Multiple Layers of Autonomy
  • Multiple autonomic managers for multiple
    resources
  • Autonomic managers are arranged in hierarchical
    fashion
  • Lower-level managers deal with resources at
    smaller granularity and/or smaller locality
  • Top-level autonomic manager
  • Business decision-making
  • Policy and service levels

From 11
16
Autonomic Mobile Device Management
AMDMS (Autonomic Mobile Device Management System)
17
Conclusion
  • Summary
  • Mobile Device Management
  • Mobile Device Diagnostics
  • Autonomic Computing
  • Autonomic Mobile Device Management
  • Solution for complexities
  • Easy to maintain mobile terminals dynamically
  • Future work
  • 2nd Presentation
  • More Useful Scenarios
  • Standard or Reference Model for Mobile Device
    Management
  • How to apply the autonomic computing concept
  • Final Presentation
  • The Architecture of the Self-Diagnostics for the
    Mobile devices
  • The Architecture of the Autonomic Mobile Device
    Management System

18
References
  • 1 James Won-Ki Hong, Alberto Leon-Garcia,
    Towards Operations and Management of 4G Networks
  • 2 TeleManagement Forum 515, Mobile Terminal
    Equipment Management Business Agreement, Nov.
    2002
  • 3 Nokia Whitepaper, Device management
    adopting mobile services effortlessly, 2003
  • 4 mFormation Technologies, Rakesh Kushwaha,
    Wireless Device ManagementFeatures, Issues and
    Challenge
  • 5 Nokia, Riku Mettala, Configuring and managing
    mobile phones through open technologies
  • 6 T Do, J Tore, V Erik, D Tran, JA Audestad
    "The Device Management Service," - Proceedings of
    The IEEE Intelligent Network Workshop, 2001
  • 7 IBM Corporation An architectural blueprint
    for autonomic computing. White Paper, (2003)
  • 8 J.O. Kephart and D.M. Chess, "The Vision of
    Autonomic Computing," Computer, vol. 36, no. 1,
    Jan. 2003, pp. 41-52.
  • 9 R. Sterritt, M. Parashar, H. Tianfield and R.
    Unland, "A Concise Introduction to Autonomic
    Computing," Journal of Advanced Engineering
    Informatics, Engineering Applications of
    Artificial Intelligence, Special Issue on
    Autonomic Computing and Automation, Elsevier
    Publishers, Vol, 19, pp. 181 ? 187, 2005.
  • 10 University of Toronto Blueprint for
    Autonomic Service Architecture, (2005)
  • 11 Alberto Leon-Garcia, Next-Generation
    Services and Applications

19
Question And Answer
Thank you.
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