Results 211 to 220 of about 4,702 (258)

The forecasting of workload of oil production program

2011 International Conference on Business Management and Electronic Information, 2011
the prediction method of workload of oil production program is studied and the forecasting software of oil production program is compiled by using C/S mode and integrated application Odac, SQL, OLE and other technologies that provides users with simple, user-friendly work environment.
Wen Zhang, Zhansheng Song, null Qingping Wang, Weidong Hao   +3 more
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A Predictive Method for Workload Forecasting in the Cloud Environment

2013
Cloud computing provides powerful computing capabilities, and supplies users with a flexible pay mechanism, which makes the cloud more convenient. People are getting more and more usage of the cloud environment due to a steady increase of data. In order to improve the performance and energy saving of the cloud computing, the efficiency of resource ...
Yao-Chung Chang, Ruay-Shiung Chang, Feng-Wei Chuang   +2 more
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Hospital database workload and fault forecasting

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 2012
With the growing importance of hospital information systems, databases became indispensable tools for day-to-day tasks in healthcare units. They store important and confidential information about patients clinical status and about the other hospital services. Thus, they must be permanently available, reliable and at high performance. In many healthcare
Silva, Paulo, Quintas, César, Duarte, Júlio, Santos, Manuel, Neves, José, Abelha, António, Machado, José Manuel   +6 more
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A survey and classification of the workload forecasting methods in cloud computing

Cluster Computing, 2019
Workload prediction is one of the important parts of proactive resource management and auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of high importance for improving cloud performance, mitigate energy consumptions, meeting the required quality of service (QoS) level, predicting the energy consumption of data ...
Mohammad Masdari, Afsane Khoshnevis
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A Forensic Model for Forecasting Alerts Workload and Patterns of Intrusions

2012 UKSim 14th International Conference on Computer Modelling and Simulation, 2012
Concurrent forecasting of alerts workload and reconstruction of computer crimes using historic alerts of intrusion detectors are necessary for extracting admissible  evidence in courts of law. Such evidence can be useful for designing efficient countermeasures that will thwart multiple attacks in progress. However, some intruders may take total control
Joshua Ojo Nehinbe, Johnson Ige Nehibe
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Adaptive Recollected RNN for Workload Forecasting in Database-as-a-Service

2020
Nowadays, Database-as-a-Service (DBaaS) plays a more and more important role in the era of big data due to its convenience and manageable capacity. However, with increasing complexity of data-driven applications, the management of database systems becomes intractable. To achieve the self-management of resources, forecasting the workload turns out to be
Chenzhengyi Liu, Weibo Mao, Yuanning Gao, Xiaofeng Gao 0001, Shifu Li, Guihai Chen   +5 more
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Forecasting HPC Workload Using ARMA Models and SSA

2016 International Conference on Information Technology (ICIT), 2016
In high-performance computing (HPC) platform, resource usage pattern changes over time which makes the resource monitoring a challenge. Maintaining the performance goals within a good power range is very critical where servers suffer from under utilisation, failure or degraded hardware support. Better forecast of the workload can reduce the energy cost
Anoop S. Kumar, Somnath Mazumdar
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Workload Forecasting with Hybrid Stochastic Configuration Networks in Clouds

2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018
With their fast development and deployment, the cloud data center providing a large number of service which has become the most import service of Internet.. In spite of numerous benefits, their providers face some challenging issues. Workload forecasting plays a crucial role in addressing them. Accuracy and fast learning are the key performances.
Libo Zhang, Jing Bi 0001, Haitao Yuan 0001   +2 more
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Forecasting Emergency Workload for Day Ahead

Journal of the Operational Research Society, 1982
A 24-hour Emergency Service is maintained to attend to gas escapes as they occur. The problem was to derive a model which could forecast emergency workload a day ahead and so enable any spare emergency fitters to be given non-emergency work. A time series analysis of the daily data showed both a seasonal pattern and a distinct daily pattern which could
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Event Based Forecasting of Database Workloads

2018 IEEE 4th International Conference on Computer and Communications (ICCC), 2018
It is well known that analysis of database workloads recorded in the past can be used to improve performance of a database system in the future. This work investigates a problem how to use information extracted from the audit trails to predict the characteristics and levels of future workloads in a database system. The paper describes a new approach to
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