The increasing scale and complexity of distributed system motivates the need for autonomous management. One of the key aspects in the management of distributed systems is the issue of component monitoring. Component monitoring is particularly challenging in large-scale dynamic systems, given the need to ensure that each component is monitored by at least one non-faulty component, despite joins, leaves, and failures, both at node and at network level. This paper proposes that components self-organize in an unstructured overlay network of constant degree in order to ensure that each component is always monitored by a threshold of other components.
We present a monitoring system for large-scale parallel and distributed computing environments that ...
Abstract — It is a challenge to provide detection facilities for large scale distributed systems run...
Abstract Autonomic computing is an approach proposed by IBM that enables a system to self-con gure, ...
This position paper envisions making large-scale distributed applications self managing by combining...
The increasing size, complexity and the dynamic character of future networks make traditional monito...
Traditionally, autonomic computing is envisioned as replac- ing the human factor in the deployment...
The growing complexity of distributed systems demands for new ways of control. Future systems should...
As Internet applications become larger and more complex, the task of managing them becomes overwhelm...
Abstract. Traditionally, autonomic computing is envisioned as replac-ing the human factor in the dep...
Self-adaptation can be achieved by autonomic management of facets of a system’s constituent componen...
The constant growth in network communications technologies and the emergence of Service Specific Ove...
Monitoring systems give network administrators a better view and understanding of their networks. Am...
International audienceDeveloping applications over a distributed and asynchronous architecture witho...
Abstract — This paper describes two complementary mechanisms for the supervision of large scale and ...
Efficient and scalable management of large networks requires distributed management systems. In this...
We present a monitoring system for large-scale parallel and distributed computing environments that ...
Abstract — It is a challenge to provide detection facilities for large scale distributed systems run...
Abstract Autonomic computing is an approach proposed by IBM that enables a system to self-con gure, ...
This position paper envisions making large-scale distributed applications self managing by combining...
The increasing size, complexity and the dynamic character of future networks make traditional monito...
Traditionally, autonomic computing is envisioned as replac- ing the human factor in the deployment...
The growing complexity of distributed systems demands for new ways of control. Future systems should...
As Internet applications become larger and more complex, the task of managing them becomes overwhelm...
Abstract. Traditionally, autonomic computing is envisioned as replac-ing the human factor in the dep...
Self-adaptation can be achieved by autonomic management of facets of a system’s constituent componen...
The constant growth in network communications technologies and the emergence of Service Specific Ove...
Monitoring systems give network administrators a better view and understanding of their networks. Am...
International audienceDeveloping applications over a distributed and asynchronous architecture witho...
Abstract — This paper describes two complementary mechanisms for the supervision of large scale and ...
Efficient and scalable management of large networks requires distributed management systems. In this...
We present a monitoring system for large-scale parallel and distributed computing environments that ...
Abstract — It is a challenge to provide detection facilities for large scale distributed systems run...
Abstract Autonomic computing is an approach proposed by IBM that enables a system to self-con gure, ...