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Active Policy in Knowledge Hyperspace Intelligent Agent and Policy-Based Networking. Mi-Joung Choi mjchoi@postech.ac.kr DP&NM. ( 1 ). Contents. Introduction Goal of PBMS Current PBN Architecture Active PBMS Knowledge Hyperspace Active Policy Non-determinism APBMS

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  1. Active Policy in Knowledge HyperspaceIntelligent Agent and Policy-Based Networking Mi-Joung Choi mjchoi@postech.ac.kr DP&NM (1)

  2. Contents • Introduction • Goal of PBMS • Current PBN Architecture • Active PBMS • Knowledge Hyperspace • Active Policy • Non-determinism APBMS • Type Lattice of Policies • Example : End-to-End QoS Provisioning • Conclusion & FurtherWork • References (2)

  3. Introduction Problem with Current PBN Architecture • Static policy • Policy specification and methods are separate • One way information flow • Poor representation of policy schema (LDAP-based) • Policy structured in LDAP tree Active Policy Architecture • Active and dynamic policy • Agent-based Management Paradigm (3)

  4. Goal of PBMS • Quality of Services(QoS) • protects mission-critical application • prioritize groups of users • enables multimedia applications • Security Management • access control • Configuration Management • automated provisioning (4)

  5. Policies LDAP Policy Directory Policy Management Tools Policy Server Policy Server Policy Policy Policy Policy Current PBN Architecture (DEN) COPS (5)

  6. Packets with Embedded Policy Instruction Router Policy Instructions(SNMP) Policy Policy Instructions(SNMP) LAN Switch RMON Probe Policy Server DHCP Server Directory LDAP Query Network Conditions Network Conditions App.1 User1 Architecture (Yankee, 1998) (6)

  7. Intelligent Agent & Mgmt. Architecture • “Agent” for a stakeholder • TMN Manager-Agent paradigm • QoS broker • Bandwidth broker • Web robots • Active Network • Agent-based mgmt. Paradigm(Intelligent Agent) • Emergent computation • Scalability & Robustness & Flexibility (7)

  8. PBMS Network Information SNMP COPS Device Information Hyper Knowledge Space Active Policies Measurement/Sampling Network Elements Active PBMS (8)

  9. NMS/APBMS Retrieve Action Action(Active Caching) Web Agent Active Policy Retrieve Retrieve Action Distributed Knowledge Representation Measurement Sampling Action Network Elements Knowledge Hyperspace (9)

  10. node Active Policy Web agent (active caching) Load factor high Web agent (active caching) Active Policy at Work Dynamic load balancing using active policy (10)

  11. Non-determinism in APBMS • Randomness in execution (queuing) • Random fluctuation in agent density • Agent dynamics (possibly chaotic) • Merit : dynamically & incrementally changeable • Demerit : Policy interference (unpredictable behavior) • mutually incompatible/exclusive policies • feature interaction • hard-to-detect policy violations (11)

  12. QoS Mgmt. Policy Active Policy Bandwidth Mgmt. Policy QoS Monitoring. Policy Static Policy Router Conf. Policy Shaper Conf. Policy DHCP Conf. Policy Router Shaper WS Type Lattice of Policies (12)

  13. LDAP Policy Directory QoS Monit. (4) (5) WS Router Shaper WS WS (2) (3) (1) QoS Mgmt. BW Mgmt. BW Mgmt. QoS Monit. QoS Monit. (4) End-to-End QoS Provisioning Active/Static Hybrid Architecture (4) (13)

  14. Conclusion & Further Work • Active PBMS Architecture • Knowledge Hyperspace • Active Policy • Non-determinism in APBMS • Type Lattice of Policies • End-to-End QoS Provisioning • Active/static hybrid architecture • Best-effort, DiffServ, IntServ traffic • Further Work • Active policy interference and feature interaction • Deployment Issues (14)

  15. References • Takeo Hamada, David Blight, “Active Policy in Knowledge Hyperspace -Intelligent Agent and Policy-Based Networking,” apnoms99 review, 1999. • [Ldap] IETF draft, LDAP • Michele Wright, “Using Policies for Effective Network Management”, International Journal of Network Management. (15)

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