Quality of experience （ QoE ） based scheduling algorithm of long term evalution （ LTE ） network with various traffics is studied. Utility functions are adopted to estimate mean opinion score （MOS） for different ...Quality of experience （ QoE ） based scheduling algorithm of long term evalution （ LTE ） network with various traffics is studied. Utility functions are adopted to estimate mean opinion score （MOS） for different traffics and a new MOS metric called normalized MOS is defined. A scheduling algorithm based on normalized MOS and greedy algorithm is proposed, aiming at maximizing the entirety MOS level of the whole users in the cell. We compare the performance of the proposed algorithm with other typical scheduling algorithms and the simulation results show that the algorithm pro- posed outperform other ones in term of QoE and fairness.展开更多
This paper studies optimal algorithms for scheduling large-scale application on heterogeneous systems using Divisible Load Theory.A more realistic and general model,i.e.,both processors and communication links may hav...This paper studies optimal algorithms for scheduling large-scale application on heterogeneous systems using Divisible Load Theory.A more realistic and general model,i.e.,both processors and communication links may have different speeds and arbitrary start-up costs,and communication is in non-blocking mode,is introduced.Under such environment,the following results are obtained: ①Mathematic model and closed-form expressions both for the processing time and the fraction of load for each processor are derived;②the influence of start-up costs on the optimal processing time is analyzed;③for a given heterogeneous systems and a large-scale computing problem,optimal algorithms are proposed.展开更多
基金Supported by China National S&T Major Project(2013ZX03003002-003)Beijing Natural Science Foundation(4152047)National High Technology Research and Development Program of China(863Program)(2014AA01A701)
文摘Quality of experience （ QoE ） based scheduling algorithm of long term evalution （ LTE ） network with various traffics is studied. Utility functions are adopted to estimate mean opinion score （MOS） for different traffics and a new MOS metric called normalized MOS is defined. A scheduling algorithm based on normalized MOS and greedy algorithm is proposed, aiming at maximizing the entirety MOS level of the whole users in the cell. We compare the performance of the proposed algorithm with other typical scheduling algorithms and the simulation results show that the algorithm pro- posed outperform other ones in term of QoE and fairness.
基金the National Natural Scienee Foundation of China under Grant(10467007)Foundation of"863"(2006AA01Z414)
文摘This paper studies optimal algorithms for scheduling large-scale application on heterogeneous systems using Divisible Load Theory.A more realistic and general model,i.e.,both processors and communication links may have different speeds and arbitrary start-up costs,and communication is in non-blocking mode,is introduced.Under such environment,the following results are obtained: ①Mathematic model and closed-form expressions both for the processing time and the fraction of load for each processor are derived;②the influence of start-up costs on the optimal processing time is analyzed;③for a given heterogeneous systems and a large-scale computing problem,optimal algorithms are proposed.
