Optimizing Autonomic Resources for the Management of Large Service-Based Business Processes

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Optimizing Autonomic Resources for the Management of Large Service-Based Business Processes

Optimizing Autonomic Resources for the Management of Large Service-Based Business Processes

Abstract

Cloud Computing, as a distributed computing paradigm, consists of the provisioning of infrastructure, platform, and software resources as services. This Optimizing Autonomic Resources for the Management of Large Service-Based Business Processes paradigm is being increasingly used for the deployment and execution of service-based business processes.

Introduction

Optimizing Autonomic Resources for the Management of Large Service-Based Business Processes To manage them efficiently according to the autonomic computing paradigm, service-based business processes can be associated with autonomous managers who monitor these processes, analyze data monitoring, plan configuration actions, and execute these actions on these processes.

System Configuration

H/W System Configuration
Speed                   : 1.1 GHz
RAM                      : 256 MB(min)
Hard Disk              : 20 GB
Floppy Drive          : 1.44 MB
Key Board             : Standard Windows Keyboard
Mouse                  : Two or Three Button Mouse
Monitor                : SVGA
S/W System Configuration

Platform                     :  cloud computing

Operating system       : Windows Xp,7,
Server                       : WAMP/Apache
Working on                : Browser Like Firefox, IE

Conclusion

Managing service-based cloud applications involves using autonomous management capabilities to dynamically adapt services to change. We proposed in this paper an approximate solution for determining the best number of AMs for SBP management in this context. Our method’s aim was to minimize management costs while avoiding bottlenecks in management.