#performance index

Support Services Supervisor at Reqit Nigeria

Reqit Nigeria – Our client, an indigenous Oil and Gas company Headquartered in Lagos, Nigeria, is recruiting to fill the position below:

Job Title: Support Services Supervisor

Location: Lagos

Main Purpose

To oversee different aspect of the company’s operations from managing vendors and contractors, to ensuring maintenance of company’s facilities.

To provide high level administrative…

Georgia’s College & Career Ready Performance Index is Not Scientific But is a Media Darling

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Figure 1. Are you here to measure me again? Really!

The Georgia Department of Education would have you believe that the College & Career Ready Performance Index is based on scientific research, and is a valid and reliable “index” of school performance.

Each year during the spring, about 1.6 million Georgia students need to be in school so that they can spend hours upon hours being…

Consider a processing infrastructure. Logically, the system could be layered to Sk stages to solve the problem P. Each stage, Si could have one or many nodes solving the subproblem. Lets define a set of latency thresholds Tk for each stage. Ti is set with two levels {threshold to qualify SLA met, threshold to qualify SLA not met but tolerated}, where Ti_SLA-met < Ti_SLA-tolerated always. Latency Li for Si depends on performance of the distributed system. Overall end-to-end latency to solve P depends on individual latencies Li and the queuing delays between each Si and Si+1. On similar lines to Ti, we now establish PTk signifying latency threshold for each stage. Cumulative latency CLi = Li + (queuing delay Qi between Si and Si-1). PTi is set with two levels {threshold to qualify SLA met, threshold to qualify SLA not met but tolerated}, where PTi_SLA-met < PTi_SLA-tolerated always. With N observations over time, SNi signifies the total observations made at stage i. Each observation in SNi would be either <= Ti_SLA-met or SNi <= Ti_SLA-tolerated or SNi > Ti_SLA-tolerated signifying SNi has missed the SLA and not tolerated. Each observation in CLi would be either <= PTi_SLA-met or CLi <= PTi_SLA-tolerated or CLi > PTi_SLA-tolerated signifying CLNi has missed the SLA and not tolerated. SLA-met should be defined after considering industry standards, platform performance and lastly huristics. SLA-met is considered to be a strongly defined. SLA-tolerated is a weakly defined threshold based only on huristics. As tolerence thresholds are subjective. A probability factor tp (0.5 by default) signifies the tolerence. Score-Si is defined as (SNi-met + (SNi-tolerated*tp))/SNi at each stage of the pipeline. Score-CSi is defined as (CLi-met + (CLi-tolerated*tp))/SN*i at each stage of the pipeline. Moving average of Score-CSi = (Score-CSi-1 + Score-CSj)/2; Score-CSj = (Score-CSi + Score-CSi+1)/2