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Managing Agent Platforms with SNMP. Brian Remick Research Proposal Defense March 10, 2014. Overview. Motivation Agent Management Requirements Network Management Research Overview Architecture Research Plan Schedule and Questions. Motivation. Agent platforms are very complex.

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managing agent platforms with snmp

Managing Agent Platformswith SNMP

Brian Remick

Research Proposal Defense

March 10, 2014

overview
Overview
  • Motivation
  • Agent Management Requirements
  • Network Management
  • Research Overview
  • Architecture
  • Research Plan
  • Schedule and Questions
motivation
Motivation
  • Agent platforms are very complex.
    • Difficult to debug from a software perspective.
    • Difficult to analyze from an administrator’s perspective.
  • No formal management specification.
    • FIPA leaves this up to the platform implementation.
    • Thus, each implementation does it differently (if at all).
basic requirements
Create agents

Destroy agents

Move agents between containers

Change agent state

Basic Requirements
advanced requirements
Advanced Requirements
  • Load balancing
  • Agent mobility
  • Communication pattern analysis
load balancing
Agents can overload resources

System resources (CPU, memory)

Programmatic resources (Slow data structures)

Identification of overloaded agents by:

Communication level

Resource usage

Response time

Platform-specific knowledge

Management system should be able to:

Identify agents that are degrading system performance.

React to achieve balance in the platform.

Redistribute agents.

Create more agents to handle load.

Load Balancing
agent mobility
Agents move between containers/platforms.

Management system must keep track of this.

Identify new agents arriving on platform.

Follow agents to other platforms?

Agent Mobility
communication patterns
Provide framework for communication analysis.

Types of messages sent to/from an agent.

Size

Frequency

Content

Administrator can use this information to analyze communication patterns.

Identify agent defects through communication behavior.

Closely related to load balancing.

Communication Patterns
network management
Network Management
  • Basic Idea
    • Manage various resources of vastly different types.
    • Scalable, Flexible
    • Non-intrusive
      • As much as possible
  • Components of a network management system
    • Proxy “agents”
    • Communication protocol (SNMP)
    • Management system(s)
proxy agents
Unfortunate terminology.

Related to autonomous agents but not the same.

Distributed pieces of software.

Act as representatives for network resources

Printers, routers, etc.

Implement a standard interface accessible through a protocol.

Exposes attributes / functionality of resource.

Broadcast “traps” back to managers.

Proxy “Agents”
protocol snmp
A standard protocol is used to communicate between proxy agents and managers.

Flexibility is key.

Need to be able to facilitate interface for any resource.

Simple Network Management Protocol

One of the first.

Industry standard.

Protocol (SNMP)
management systems
Management Systems
  • MIB Browsers
    • Provide simple access to proxy agent interface.
    • Get / set values associated with resource.
  • Enterprise Management Systems
    • Sophisticated control over resources.
    • Ability to set thresholds, gather temporal data, graphs, etc.
    • Customizable: views of data, resource graphs
    • Designed for more than strictly network management.
  • Examples
    • HP Openview
network and agent management
Both solve similar problems

Distributed resources

Overload conditions

Crashes

Management of varying types of resources

Use network management techniques in agent management domain

Network management can be used to meet the requirements of agent management.

Network and Agent Management
research overview
Research Overview
  • Goal: Build an agent platform management system.
    • Based on network management techniques.
  • Details:
    • Needs to meet the requirements mentioned earlier.
    • Using SNMP as the communication protocol.
  • Integrate with enterprise management system.
    • HP Openview
  • Demonstrate
    • Test the system with behaviorial patterns and simulations.
assumptions
Based on FIPA specification

Provides a standard platform specification to work from.

Research could lead to a proposal for the FIPA spec.

Implementation specific to Jade.

Basic framework will be more general.

Access to managed data is assumed.

Platform must allow access to necessary data.

Assumptions
agent platform layer
Need to implement the “proxy agent” for the platform.

Implements a standard interface for agent management.

Hides platform-specific details from the manager.

Implementation in Jade framework:

Actual FIPA-compliant agent living inside the platform.

Allows accessibility to platform-specific information.

Makes use of platform events / Introspection.

Agent Platform Layer
snmp layer agentx
Need to allow proxy agent and managers to communicate via SNMP.

AgentX

Framework that hides networking details of SNMP (UDP, etc.)

Allows interface definition in SNMP without detailed knowledge of the underlying protocol.

Focus more on effectiveness of interface than protocol itself.

Managers communicate with AgentX

Requests passed on to proxy agent via RPC.

Proxy agent can send traps through AgentX to listening managers.

SNMP Layer (AgentX)
management system layer
Interface with management systems.

MIB browser

Enterprise system

Take advantage of enterprise customization

Customized views of containers

Views of communication between agents

HP Openview

Event SDK

GUI customizations

Management System Layer
research plan
Interface definition in SNMP

Proxy agent implementation in Jade

Integration with AgentX framework

Management system integration

MIB browser

Openview

Testing

Patterns of agent behavior

Simulations

Research Plan
summary
Summary
  • System will be able to:
    • Perform basic management tasks.
    • Detect overloaded agents and perform load balancing.
    • Monitor communication between agents.
    • Detect agent mobility.
  • Integrated with industry-standard management tools.
    • HP Openview
schedule for completion

Task

Completion Date

Percent Complete

Proposal document

10/1/2001

95%

Proposal defense

10/29/2001

Interface definition/MIB

11/10/2001

40%

Proxy agent implementation

11/20/2001

40%

AgentX integration

12/5/2001

30%

MIB browser integration

12/15/2001

HP Openview plugin

1/20/2002

Pattern implementation

2/1/2002

Thesis document

3/1/2002

Thesis defense

4/2002

Schedule for Completion
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