A Novel Reliability Index to Assess the Computational Resource Adequacy in Data Centers

Abstract

The energy demand of data centers is increasing globally with the increasing demand for computational resources to ensure the quality of services. It is important to quantify the required resources to comply with the computational workloads at the rack-level. In this paper, a novel reliability index called loss of workload probability is presented to quantify the rack-level computational resource adequacy. The index defines the right-sizing of the rack-level computational resources that comply with the computational workloads, and the desired reliability level of the data center investor. The outage probability of the power supply units and the workload duration curve of servers are analyzed to define the loss of workload probability. The workload duration curve of the rack, hence, the power consumption of the servers is modeled as a function of server workloads. The server workloads are taken from a publicly available data set published by Google. The power consumption models of the major components of the internal power supply system are also presented which shows the power loss of the power distribution unit is the highest compared to the other components in the internal power supply system. The proposed reliability index and the power loss analysis could be used for rack-level computational resources expansion planning and ensures energy-efficient operation of the data center.INDEX TERMS Adequacy, data center, energy losses, internal power supply system, reliability.

Energy Consumption Optimization of an IoT Monitoring Center Based on a Max-Min Ant Colony Algorithm

“…In [22], the service reliability is also emphasized since the probability of fulfilling the service requests without latency is characterized by this index. A similar reliability index called "loss of workload probability" is proposed based on the server outage probability in [23]. Different reliability model approaches have been used for the IoT monitoring center.…”