Intelligent Monitoring of Data Center Physical Infrastructure

Abstract

This paper presents a new intelligent monitoring and event management method for data center physical infrastructure based on multilayer node event processing. The priorities of highly classified data centers are not only the maintenance of the highest level of reliability and availability of the operation, but also fast, specific event identification and energy consumption monitoring, which altogether improve the level of energy efficiency. The new method, using a tree node for each device, improves information about the events in a specific node. Its major advantage is that in the case of a large number of nodes, it considerably reduces the number of identified events (alarms/alerts) that might be the main cause. Fast event processing lowers data center physical infrastructure operating costs, improving at the same time the level of energy efficiency. The experimental results show that the use of tree nodes significantly reduces the number of unexpected events, the time needed for the main event identification, and the maintenance response time to events. By using event entities processing, multilayer nodes have a significant impact on the efficient operation of data center physical infrastructure.

Heating Homes with Servers: Workload Scheduling for Heat Reuse in Distributed Data Centers

“…The first topic addresses the development of models to study the thermodynamic processes inside a DC and to determine the heat generation, transfer, and reuse characteristics [ 4 , 24 , 25 , 26 ]. The thermodynamics impose limits on both the maximum allowable temperature of the microprocessors and the coefficient of performance of the heat pumps [ 27 , 28 ]. Setting higher temperature setpoints in the server room is proposed and used to improve the quality of the recovered heat [ 4 , 29 ].…”