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.
Highlights
Intelligent monitoring in today’s data centers has increased significantly in recent years
This paper presents a new intelligent monitoring and event management method for data center physical infrastructure based on multilayer node event processing
The purpose of the thermal management is to keep the temperatures in all room spaces below the upper limits required in the standard with the lowest energy consumption [27]
Summary
Intelligent monitoring in today’s data centers has increased significantly in recent years. Monitoring and control is important for all existing component parameters in the data center infrastructure system, including energy consumption management, which have become crucial in recent years due to their high economic and environmental impact. A study by Van Heddeghem et al [5] showed that in 2014, data centers consumed 270 TWh of energy worldwide, and that this consumption will have a combined annual growth rate (CAGR) of 5% in the future. For these reasons, data center energy reduction is regarded as the main concern for data center operators, important to (if not more so than) the traditional aspects of availability and security [2,6,7]. The basic goals of past research were to clearly define and monitor all processes of data center operation
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