Adapting workload distribution on software DSM clusters

2006 ◽  
Vol 36 (11-12) ◽  
pp. 1133-1155 ◽  
Author(s):  
Yen-Tso Liu ◽  
Tyng-Yeu Liang ◽  
Ce-Kuen Shieh

Author(s):  
Sattra Laomuad ◽  
Manutsiri Chansuttirangkool ◽  
Kriangsak Lekdee ◽  
Saysamone Soysouvanh ◽  
Charoen Vongchumyen ◽  
...  


2003 ◽  
Vol 35 (03) ◽  
pp. 793-805 ◽  
Author(s):  
Sem Borst ◽  
Bert Zwart

We determine the exact large-buffer asymptotics for a mixture of light-tailed and heavy-tailed input flows. Earlier studies have found a ‘reduced-load equivalence’ in situations where the peak rate of the heavy-tailed flows plus the mean rate of the light-tailed flows is larger than the service rate. In that case, the workload is asymptotically equivalent to that in a reduced system, which consists of a certain ‘dominant’ subset of the heavy-tailed flows, with the service rate reduced by the mean rate of all other flows. In the present paper, we focus on the opposite case where the peak rate of the heavy-tailed flows plus the mean rate of the light-tailed flows is smaller than the service rate. Under mild assumptions, we prove that the workload distribution is asymptotically equivalent to that in a somewhat ‘dual’ reduced system, multiplied by a certain prefactor. The reduced system now consists of only the light-tailed flows, with the service rate reduced by the peak rate of the heavy-tailed flows. The prefactor represents the probability that the heavy-tailed flows have sent at their peak rate for more than a certain amount of time, which may be interpreted as the ‘time to overflow’ for the light-tailed flows in the reduced system. The results provide crucial insight into the typical overflow scenario.



1997 ◽  
Vol 40 (2) ◽  
pp. 256-264 ◽  
Author(s):  
Andrew Sohn ◽  
Mitsuhisa Sato ◽  
Namhoon Yoo ◽  
Jean-Luc Gaudiot


2021 ◽  
Vol 251 ◽  
pp. 04001
Author(s):  
Rafał Dominik Krawczyk ◽  
Flavio Pisani ◽  
Tommaso Colombo ◽  
Markus Frank ◽  
Niko Neufeld

This paper evaluates the real-time distribution of data over Ethernet for the upgraded LHCb data acquisition cluster at CERN. The system commissioning ends in 2021 and its total estimated input throughput is 32 Terabits per second. After the events are assembled, they must be distributed for further data selection to the filtering farm of the online trigger. High-throughput and very low overhead transmissions will be an essential feature of such a system. In this work RoCE (Remote Direct Memory Access over Converged Ethernet) high-throughput Ethernet protocol and Ethernet flow control algorithms have been used to implement lossless event distribution. To generate LHCb-like traffic, a custom benchmark has been implemented. It was used to stress-test the selected Ethernet networks and to check resilience to uneven workload distribution. Performance tests were made with selected evaluation clusters. 100 Gb/s and 25 Gb/s links were used. Performance results and overall evaluation of this Ethernet-based approach are discussed.



Author(s):  
Şirin Özkan ◽  
Mert Uydacı

INTRODUCTION: The aim of this study is to examine the requirement and distribution of nurse workforce based on workload in public hospitals. METHODS: The number of nurses required in intensive care unit, all inpatient services, emergency room, operating room and dialysis units of the hospitals affiliated to the Ministry of Health in Kocaeli was calculated based on the workload by applying the Workload Indicators of Staffing Need (WISN) method. RESULTS: When the nurses were compared based on the inter-hospital workload ratio in the province, it was found that the number of nurses in the hospitals A, B, C, D, G, H and I was inadequate, the average workload was 0.73 and the number of nurses should be increased by 27% throughout the province. It was determined that the nurses having the highest workload ratio were inpatient service nurses in hospital with A rate of 0.49 and hospital in C with 0.53 rate. In addition, although the total number of nurses in E and F hospitals is sufficient, the units within the hospital are unevenly distributed according to the workload of the nurse workforce. DISCUSSION AND CONCLUSION: It was determined that the number of nurses in the hospitals was insufficient and the workload distribution between the hospitals and within the hospital was unbalanced. The unbalanced distribution of nurse workforce throughout the province causes labour inefficiency, decreases the quality of patient care and causes health inequalities. The study results could set an example of practice that would provide support for health and nursing managers in planning and managing healthcare human resources more effectively.



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