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Runtime Resource Management with Workload Prediction
Proceedings of the 56th Annual Design Automation Conference 2019, 2019Modern embedded platforms need sophisticated resource managers in order to utilize the heterogeneous computational resources efficiently. Moreover, such platforms are exposed to fluctuating workloads unpredictable at design time. In such a context, predicting the incoming workload might improve the efficiency of resource management.
Mina Niknafs +3 more
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Workload prediction for runtime resource management
2017 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC), 2017An intelligent resource manager is an essential part of platforms based on heterogeneous architectures. The resource manager should be able to accurately predict the future workload of the system at hand and take it into consideration for making decisions.
Mina Niknafs +3 more
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Workload Assessment and Prediction
1990The concept of workload and its relationship to performance is introduced in this chapter. Four categories of workload measurement techniques (ratings, primary and secondary task measures, and physiological indices) are reviewed, examples of each category are described, and their strengths and weaknesses are summarized.
Sandra G. Hart, Christopher D. Wickens
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Multifactor Prediction of Hospital Service Workload
Journal of Hospital Marketing, 1989Prediction of workload for hospital departments is a forecasting problem. Most forecasting techniques use time series methods. However, the unpredictability of hospital utilization which occurs because of environmental turbulence requires that predictions be based on strategic plans.
J E, Rohrer, J, Nyman
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Impact of Workload and Renewable Prediction on the Value of Geographical Workload Management
2014There has been increasing demand for energy sustainable and low-cost operation in cloud computing. This paper proposes dynamic Geographical Load Balancing and energy buffering management (GLB) to achieve these goals which (i) shifts workload (particularly peak workload demand) toward Data centers that offer low utility rate or green energy at a time ...
Zahra Abbasi +2 more
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Optimizing Workload Category for Adaptive Workload Prediction in Service Clouds
2015It is important to predict the total workload for facilitating auto scaling resource management in service cloud platforms. Currently, most prediction methods use a single prediction model to predict workloads. However, they cannot get satisfactory prediction performance due to varying workload patterns in service clouds.
Chunhong Liu +5 more
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Predicting the highest workload in cardiopulmonary test
2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS), 2010Cardiopulmonary exercise testing is an objective method to evaluate both the cardiac and pulmonary functions. It is used in different application domains, ranging from the clinical domain to sport sciences, to assess possible cardiac failures as well as athete performance.
BARALIS, ELENA MARIA +5 more
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Workload Prediction on Google Cluster Trace
International Journal of Grid and High Performance Computing, 2014Workload prediction in cloud systems is an important task to ensure maximum resource utilization. So, a cloud system requires efficient resource allocation to minimize the resource cost while maximizing the profit. One optimal strategy for efficient resource utilization is to timely allocate resources according to the need of applications.
Md. Rasheduzzaman +2 more
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Towards workload-aware self-management: Predicting significant workload shifts
2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010), 2010The workloads of enterprise DBS often show periodic patterns, e.g. because there are mainly OLTP transactions during day-time and analysis operations at night. However, current DBS self-management functions do not consider these periodic patterns in their analysis.
Marc Holze, Ali Haschimi, Norbert Ritter
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Predicting Workload Experienced in a Flight Test by Measuring Workload in a Flight Simulator
Aerospace Medicine and Human Performance, 2019BACKGROUND: In order to determine the minimum flight crew number and show compliance with airworthiness regulations, the workload of flight crew should be measured in various flight scenarios both in a simulator and in flight tests demonstrating compliance.
Yiyuan, Zheng +3 more
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