One solution is to use metrics to help understand the performance. However, existing metrics are not always well known and understood. The only metric that is currently in common use is Power Usage Effectiveness (PUE). While PUE is useful as a measure of data center cooling efficiency, it ...
What is needed are performance metrics that are more holistic than PUE in measuring data center efficiency. The key limitation of PUE is that it measures the overall efficiency of an entire building infrastructure supporting a given data center, indicating nothing about the efficiency of the IT equ...
The proposed work is compared for different performance metrics with various state-of-the-art approaches including Slack and Battery Aware placement (SBA)14, Static THReshold with Multiple Usage Prediction (THR-P) and Dynamic threshold based on Local Regression with Multiple Usage Prediction (LR-P)1...
Performance metrics : Such as data latency, Query response time and concurrency Cost metrics : such as storage costs, processing costs trending over time Some metrics may be harder to quantify, such as Data quality (completeness, integrity) or Data governa...
703 Accesses 8 Citations Explore all metrics Abstract In recent years, there has been a great increase in usage of cloud data centers which leads the energy consumption growth by about 10% a year continuously. Further, due to the increase in temperature of cloud data center, the hardware fail...
Network health evaluationComprehensive network health evaluationPerforms network-wide modeling based on the knowledge graph, provides 24/7 network quality assurance, visualizes network-wide resource status, and analyzes performance metrics such as traffic, bandwidth, and packet loss. ...
Volico: rightsizing your data center Safe Host: keeping the power on Systemec: 100% uptime Improving data center performance at the University Hospital Basel with MNS®-Up Personal note Additional learning resources Whitepapers Videos Webinars ...
Servers and data centers energy performance metrics A thermodynamic approach for evaluating energy performance (productivity) of information technology (IT) servers and data centers is presented. This approa... AH Beitelmal,D Fabris - 《Energy & Buildings》 被引量: 17发表: 2014年 Optimizing perform...
Analysis of performance metrics for data center efficiency - should the power utilization effectiveness PUE still be used as the main indicator? (Part 1). REHVA J. 01/2017, 5–11 (2017). Google Scholar Zoie, R. C., Mihaela, R. D. & Alexandru, S. An analysis of the power usage ...
ETAP eSCADA & ETAP PSMS transforms a Data Center EMCS into an intelligent and reliable power management solution for operators, dispatchers, engineers, and decision-makers with crucial metrics including DCIE, PUE, etc. Continuously leverage existing measurements and extrapolate pseudo-measurements to ga...