Autonomic Request Scheduling Container

1
Autonomic Request Scheduling Container
Final Deliverable
Alain Esteva Ramirez School of Computing and
Information Sciences Florida International
University
Bárbara Morales-Quiñones Department of Computer
Engineering University of Puerto Rico-Mayaguez
Graduate Student Tariq M. King
REU Summer Program
08/10/2007
2
Outline

• Introduction
• Recap
• Literature Review
• High-Level Design
• Implementation
• Accomplishments for the last phase
• Demo
• Autonomic Request Scheduling Container in action
• Contributions
• Future work
• Questions?

3
Introduction

• Problem
• Incorporate self-optimization
• Testing autonomic computing system during
  safe-adaptation
• Motivation
• Apply an autonomic computing system in the
  context of a real problem
• Very little research directed towards dynamically
  testing AC systems

4
Criteria for evaluation

• Survey of tools
• Apply container in the context of a real problem
• Develop a small component-based adaptable
  autonomic system
• Incorporate a self-optimization capability
• Integrate self-testing to be realized dynamically
  
• Integrate tools to support validation of
  self-optimization
• The publication of two papers
• Student Paper - REU, Graduate Student
• Regular Paper Graduate Student, REU, Advisor

4
5
Literature Review

• Autonomic Computing
• REU 2006 Autonomic Container
• Software Testing
• Safe Adaptation with Validation Strategy to
  Testing AC Systems at Runtime developed by King
  et al
• Safe-Adaptation by Zhang
• A system is safe if and only if
• It does not violate the dependencies between
  components
• It does not interrupt any critical
  communications that could result in erroneous
  conditions
• Survey
• Dependency Analysis JDepend and Cap
• Performance Metrics TPTP
• Unit Testing Support Cobertura and JUnitPerf

6
High-Level Architecture
7
Generic Manager Design
8
Minimal Class Diagram
8
9
Implementation

• Autonomic Manager Framework
• Improvement in the use of reflection
• Managed Resources
• Request Container
• Agent Pool
• Touchpoint Autonomic Manager
• rcSelfConfig
• raSelfOptim
• Orchestrating Autonomic Manager
• oamScheduler
• ksScheduler (FCFS and SRN strategies)

10
Implementation
Activity Diagram
10
11
Implementation
Safe Adaptation Data Structure
11
12
Demo

• Request Container
• Creates the TAMSelfConfig, passing the policy XML
  file and newly created RequestContainer as
  parameters
• Initializes RMI Server of RequestContainer
• Agent Pool
• Creates the AgentPool, passing a strategy as
  parameter
• Creates the TAMSelfOptim, passing the policy XML
  file and AgentPool as parameters
• Orchestrating Request Scheduler
• Creates the TAMSchedResource, passing
  TAMSelfConfig, TAMSelfOptim and SchedStrategy as
  parameters
• Creates the OAMReqSched, passing the policy XML
  file and TAMSchedResource as parameters

13
Contributions

• Survey of tools to support testing adaptive AC
  systems
• The framework was applied in a realistic context
• Restructure the existing framework
• Integration of self-optimization
• Safe adaptation data structure
• Developed a complex Autonomic System that
  contains two Touchpoint AM and one Orchestrating
  AM.

13
14
Results of evaluation

• Complete
• Survey of tools
• Apply container in the context of a real problem
• Incorporate a self-optimization capability
• Incomplete
• Develop a small component-based adaptable
  autonomic system
• Integrate self-testing to be realized dynamically
  
• Integrate tools to support validation of
  self-optimization
• In Process The publication of two papers
• 23rd Annuel ACM Symposium on applied Computing
  (SAC)Autonomic Computing TrackDeadline for
  submission Sept 8
• 46th ACM Southeast ConferenceDeadline for
  submission Late November

14
15
Future Work

• Integrate safe adaptation data structure
• Integrate self-testing framework
• Build a fully Autonomic System with self-testing
  capabilities during safe-adaptation

16
Questions?

• Questions, comments and queries.