A relational approach to monitoring complex systems
ACM Transactions on Computer Systems (TOCS)
The annealing algorithm
Tools for Distributed Application Management
Computer - Distributed computing systems: separate resources acting as one
Understanding DCE
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
The benefits of CORBA-based network management
Communications of the ACM
Performance and Efficiency in DistributedEnterprise Management
Journal of Network and Systems Management
Towards efficient resource allocation in distributed systems management
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Exploiting Code Mobility in Decentralized and Flexible Network Management
MA '97 Proceedings of the First International Workshop on Mobile Agents
Optimising the execution of management functions in distributed systems
Optimising the execution of management functions in distributed systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A model for efficient configuration of management agents in distributed systems
Performance Evaluation
A framework for determining efficient management configurations
Computer Networks: The International Journal of Computer and Telecommunications Networking
| Hi-index | 0.00 |
With the increased availability and complexity of distributed systems comes a greater need for solutions to assist in the management of distributed systems. Despite the significant contributions made towards the development of management tools that monitor and control distributed systems, little has been done to address issues such as optimizing the execution of management functions with respect to system and management requirements. This paper presents a management optimization model in which management agents and managed objects are efficiently configured on the basis of a set of system and management requirements. We illustrate our model and describe its implementation through a Branch- and Bound-based algorithm and a web-based interface. The latter enables users to specify the requirements used by the optimization algorithm to determine efficient management configurations. It also includes an XML-based interface through which management agents can be started independent of the underlying platforms. Performance characteristics of the proposed algorithm as well as experimental results to illustrate the validity of the model are also described.