Resource Management in the Autonomic Service-Oriented Architecture

Author(s):  
J. Almeida ◽  
V. Almeida ◽  
D. Ardagna ◽  
C. Francalanci ◽  
M. Trubian
Author(s):  
Farag Azzedin ◽  
Mohamed Eltoweissy ◽  
Salman Ahmad Khwaja

The P2P computing is one of the technologies that is having a significant impact on the way Internet-scale systems are built. It is well established for applications such as file sharing and parallel distributed computation. The well establishment for P2P systems is built on the notion of sharing. One of the objectives of resource sharing is to increase some measure of the overall work done by the collection of resources. The authors present a service oriented architecture for sharing and managing resources in P2P systems. As P2P services have shown expedient way of interaction between peers utilizing different services, our architecture will extend the high utilization of P2P networks with service orientation for handling more services with better management and easy extendibility to further capitalize on the success of P2P networks.


Author(s):  
Shrabanee Swagatika ◽  
P.K. Pattnaik

Service Oriented Architecture and Cloud Computing are two popular design paradigms in order to fulfill the user’s requirement that includes for high cost and heavy infrastructure applications. SOA is demanding for the different in built approach and cloud is includes for security and infrastructure measures . In this paper, we try to compare the previous existing solution for resource management as a service.. Again we aim to propose a architecture by aggregate these two approaches for low cost and efficient access of infrastructures.


Author(s):  
Daniel Stein ◽  
Barbara Krausz ◽  
Jobst Löffler ◽  
Robin Marterer ◽  
Rolf Bardeli ◽  
...  

Event recognition systems have high potential to support crisis management and emergency response. For large-scale scenarios, however, the sheer amount of possible audio and video channels requires adequate processing of the material by automatic means. In this article, the authors focus on automatic audio and video event recognition, by means of detecting abnormalities both in train noise as well as surveillance videos, and by conducting automatic speech recognition on fire fighter communication. All components are integrated in an overall intelligent resource management system. The authors elaborate on the challenges expected from real life data and the solutions that the authors applied. The overall system, based on Event-Driven Service-Oriented Architecture, has been implemented and partly integrated into the end users' infrastructures. The system has been continuously running for more than two years, collecting data for research purposes.


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