Delay-based I/O request scheduling in SSDs

Low Power Scheduling Approach for Heterogeneous System Based on Heuristic and Greedy Method

“…(1) getTime_Energy_AVE_SD(P, NumGPU) (2) for i 0, NumGPU do//Filter feasible solutions (3) for j 0, P do (4) if e time of the jth task in the ith processor > Crit i (5) put task number j to _i [] array//Only store the task number (subscript) ( 6) else (7) put task number j to Tm_i array (8) end if (9) end for (10) end for (11) record the number in _i and Tm_i as NumIn , NumInTm (12) for i 0, NumGPU do//Sort (13) use sort( _i) function to sort each _i array and store the result to Sort_ _i[ ] (14) end for (15) for i ⟵ 0, i < P do//Filter K processor number with the smallest cumulative time ( 16) add time of ret_taskindex in Tm_ret_taskindex to AccumPer_ret_GPUIndex (25) assign the time of ret_taskindex in Tm_ret_taskindex in other GPU to 0 (26) end if (27) end for (28)…”

“…The first is energy saving scheduling technology based on task characteristics. [ 9 , 10 ] point out that the storage requirements of tasks, task migration, and the improvement of scheduling strategy are helpful to the improvement of system performance. Based on this, Zhan et al [ 11 ] research the energy optimization of hybrid scratchpad memory which consists of SRAM and nonvolatile memory.…”

“…e Intergovernmental Panel on Climate Change of the United Nations has released a report, pointing out that if the temperature of global warming is to be limited to 1.5 °C higher than that before the Industrial Revolution, unprecedented changes are needed, e orts should be made to completely stop using fossil fuels by 2050, and zero carbon emissions should be achieved [3]. In order to promote the sustainable development of ICT industry, green computing [4][5][6][7][8][9][10][11][12] has become the consensus of many researchers at home and abroad. At present, ICT industry represented by big data technology and arti cial intelligence technology is constantly changing our life, transportation, learning, and cognition of the world, which makes the heterogeneous computing system (HCS) based on GPU (graphics processing unit) supporting the development of these technologies become the mainstream of computer system.…”

“…Energytemp_K_GPUIndex ⟵ AccumPer_K_GPUIndex * the energy of task number pth_K_GPUIndex (10) flag_K_GPUIndex ⟵ 1; (11) end if (12) end if (13) if flag_K_GPUIndex is 0// e task number is in the Tm array (14) while the time of pth_K_GPUIndex in Tm_K_GPUIndex is 0//skip the assigned tasks (15) ptm_K_GPUIndex++ (16) if ptm_K_GPUIndex > NumInTm − 1 ( 17) break (18) end if (19) end while (20)…”

Layer-Aware Request Scheduling for 3D Flash-Based SSDs

“…Mao et al [13] proposed a garbage collection aware request dispatching method to avoid GC conflicts. Chen et al [14] established a delay model to dispatch and schedule read/write requests separately according to the obtained delay value. Cui et al [15] proposed to schedule read requests according to retention time and write requests according to hotness, in order to be aware of device process variations.…”