"\"In cloud environments application scheduling, i.e., the matching of applications with the resources they need to be executed, is a hot research topic. Autonomic computing provides viable solutions to implement robust architectures that are enough flexible to tackle scheduling problems. CHASE is a framework based on an autonomic engine, designed to optimize resource management in clouds, grids or hybrid cloud-grid environments. Its optimizations are based on real-time knowledge of the status of managed resources. This requires continuous monitoring, which is difficult to be carried out in distributed and rapidly-changing environments as clouds. This paper presents a monitoring system to support autonomicity based on the mobile agents computing paradigm.\""

Enhancing an Autonomic Cloud Architecture with Mobile Agents / Antonio, Cuomo; Rak, Massimiliano; Venticinque, Salvatore; Umberto, Villano. - 7155:(2012), pp. 94-103. [10.1007/978-3-642-29737-3_11]

Enhancing an Autonomic Cloud Architecture with Mobile Agents

RAK, Massimiliano;VENTICINQUE, Salvatore;
2012

Abstract

"\"In cloud environments application scheduling, i.e., the matching of applications with the resources they need to be executed, is a hot research topic. Autonomic computing provides viable solutions to implement robust architectures that are enough flexible to tackle scheduling problems. CHASE is a framework based on an autonomic engine, designed to optimize resource management in clouds, grids or hybrid cloud-grid environments. Its optimizations are based on real-time knowledge of the status of managed resources. This requires continuous monitoring, which is difficult to be carried out in distributed and rapidly-changing environments as clouds. This paper presents a monitoring system to support autonomicity based on the mobile agents computing paradigm.\""
2012
978-3-642-29736-6
Enhancing an Autonomic Cloud Architecture with Mobile Agents / Antonio, Cuomo; Rak, Massimiliano; Venticinque, Salvatore; Umberto, Villano. - 7155:(2012), pp. 94-103. [10.1007/978-3-642-29737-3_11]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/986045
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