Dynamic management of equipment is the technique of controlling the technical conditions of production equipment and providing preventive and remedial measures. The method of dynamic management is to continuously moni...Dynamic management of equipment is the technique of controlling the technical conditions of production equipment and providing preventive and remedial measures. The method of dynamic management is to continuously monitor the running conditions of the production equipment employing computers and network techniques to collect, analyze and process the data obtained. The purpose of this procedure is to prevent or minimize losses due to malfunctioning or breakdowns by application of preventive maintenance or predictive maintenance strategies.The end purposes are to exploit the full potential of equipment, to enhance their overall efficiency, to towr the Life Cycle Cost (LCC), to guarantee quality of products and to lower the cost of production (for adaptation to the needs of development of the market economy). In this paper, some effective measures for enhancing the dynamic management of equipment are presented. equipment, dynamic management, preventive maintenance, predictive maintenance, overall efficiency of equipment, Life Cycle Cost.展开更多
With the increasing scale of information technology(IT)service system,traditional thresholdbased static service level management(SLM)solution appears to be inadequate to meet current increasingly management requiremen...With the increasing scale of information technology(IT)service system,traditional thresholdbased static service level management(SLM)solution appears to be inadequate to meet current increasingly management requirement of SLM.Due to the stochastic service request rate,the random inherent failure and load surge of IT devices during service operating stage of large scaled IT system,service level objective(SLO)maintenance issue has become a realistic and important issue in dynamic SLM.This paper proposes a closed-loop feedback control mechanism to adaptively maintain SLO that service provider(SP)guaranteed at service operation stage.The mechanism can automatically tune the capacity of IT infrastructure according to service performance dispersion and reduce SLO violations.Considering that the tuning operations also affect service performance,fuzzy control is applied to alleviate the negative effect caused by tuning operations.In the dynamic SLM system that is applied with this mechanism compared with the traditional threshold-based solution,it is proved that the amount of SLO violations obviously decreases,the reliability of the service system increases relatively,and the resource utilization of IT infrastructure is optimized.展开更多
For mobile devices users, the inconvenience caused by the fixed data plans becomes a popular issue. With the help of personal hotspot (pH), however, the smartphone users can share network connection with other users n...For mobile devices users, the inconvenience caused by the fixed data plans becomes a popular issue. With the help of personal hotspot (pH), however, the smartphone users can share network connection with other users nearby. In this paper a data plan sharing platform with reservation mechanism is proposed. The users on this platform can sell their surplus data plan traffic to make profit. A Markov decision process model was formulated and analyzed for data plan sharing platform revenue management through overbooking mechanism. The results of experiment and simulation show that the platform revenue has a considerable growth using this model.展开更多
文摘Dynamic management of equipment is the technique of controlling the technical conditions of production equipment and providing preventive and remedial measures. The method of dynamic management is to continuously monitor the running conditions of the production equipment employing computers and network techniques to collect, analyze and process the data obtained. The purpose of this procedure is to prevent or minimize losses due to malfunctioning or breakdowns by application of preventive maintenance or predictive maintenance strategies.The end purposes are to exploit the full potential of equipment, to enhance their overall efficiency, to towr the Life Cycle Cost (LCC), to guarantee quality of products and to lower the cost of production (for adaptation to the needs of development of the market economy). In this paper, some effective measures for enhancing the dynamic management of equipment are presented. equipment, dynamic management, preventive maintenance, predictive maintenance, overall efficiency of equipment, Life Cycle Cost.
基金Acknowledgements This work was partly supported by the State Key Development Program for Basic Research of China(No.2007CB310703)the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(Grant No.60821001)the National High Technology Research and Development Program of China(No.2008AA01Z201).
文摘With the increasing scale of information technology(IT)service system,traditional thresholdbased static service level management(SLM)solution appears to be inadequate to meet current increasingly management requirement of SLM.Due to the stochastic service request rate,the random inherent failure and load surge of IT devices during service operating stage of large scaled IT system,service level objective(SLO)maintenance issue has become a realistic and important issue in dynamic SLM.This paper proposes a closed-loop feedback control mechanism to adaptively maintain SLO that service provider(SP)guaranteed at service operation stage.The mechanism can automatically tune the capacity of IT infrastructure according to service performance dispersion and reduce SLO violations.Considering that the tuning operations also affect service performance,fuzzy control is applied to alleviate the negative effect caused by tuning operations.In the dynamic SLM system that is applied with this mechanism compared with the traditional threshold-based solution,it is proved that the amount of SLO violations obviously decreases,the reliability of the service system increases relatively,and the resource utilization of IT infrastructure is optimized.
文摘For mobile devices users, the inconvenience caused by the fixed data plans becomes a popular issue. With the help of personal hotspot (pH), however, the smartphone users can share network connection with other users nearby. In this paper a data plan sharing platform with reservation mechanism is proposed. The users on this platform can sell their surplus data plan traffic to make profit. A Markov decision process model was formulated and analyzed for data plan sharing platform revenue management through overbooking mechanism. The results of experiment and simulation show that the platform revenue has a considerable growth using this model.
