Otherwise, when the data is offloaded for edge execution (xti = 1), we denote Pit as the transmit power constrained by the maximum power Pt ≤ Pmax and τtT as the amount of time iii allocated to the ith WD for computation offloading. Here, τit ∈ [0, 1] and Ni=1 τit ≤ 1. The energy consumed on data offloading is Eit,O = PitτitT. Similar to [4] and [8], we neglect the delay on edge computing and result downloading such that the amount of data processed at the edge within the time frame is Dt =WτitTlog 1+Pithti=WτitTlog 1+Eit,Ohti, ∀xt =1, (2) i,O vu 2 N0 vu 2 τitTN0 i where vu ≥ 1 denotes the communication overhead and N0 denotes the noise power. Let Dit (1 − xti )Dit,L + xti Dit,O and Eit (1 − xti )Eit,L + xti Eit,O denote the bits computed and energy consumed in time frame t. We define computation rate rit and power consumption eti in 9 the tth time frame as ttttttt rt=Di=(1−xi)fi+xtWτilog1+ei,Ohi,et=Ei=(1−xt)κft3+xtet ,(3) i T φ ivu 2 τitN0 i T i i ii,O where eti,O Eit,O/T. For simplicity of exposition, we assume T = 1 without loss of generality in the following derivations.,解释cit
时间: 2023-07-14 14:14:08 浏览: 114
该文段描述了一个边缘计算场景中的能量消耗和数据处理速率的公式。其中,Pit表示传输功率,受到最大功率Pmax的限制。τtT表示分配给第i个无线设备进行计算卸载的时间量。τit ∈ [0, 1],且所有τit之和不大于1。Eit,O表示数据卸载过程中的能量消耗。Dit和Eit分别表示在时间t内处理的数据量和能量消耗。rit和eti分别表示第t个时间段内的计算速率和能量消耗。其中,et表示总能量消耗,eti,O表示数据卸载过程中的能量消耗。整个公式中包含了多个变量和参数,描述了在边缘计算场景下的能量消耗和数据处理速率的计算方法。
相关问题
Otherwise, when the data is offloaded for edge execution (xti = 1), we denote Pit as the transmit power constrained by the maximum power Pt ≤ Pmax and τtT as the amount of time iii allocated to the ith WD for computation offloading. Here, τit ∈ [0, 1] and Ni=1 τit ≤ 1. The energy consumed on data offloading is Eit,O = PitτitT. Similar to [4] and [8], we neglect the delay on edge computing and result downloading such that the amount of data processed at the edge within the time frame is Dt =WτitTlog 1+Pithti=WτitTlog 1+Eit,Ohti, ∀xt =1, ,Eoit,pit是什么
根据文中的描述,Eit,O表示第i个设备的数据离载能耗,Pit表示传输功率的限制,由最大功率Pt ≤ Pmax决定,τit表示分配给第i个设备的计算离载时间,且τit ∈ [0, 1],并且所有设备的计算离载时间之和不超过1(即Ni=1 τit ≤ 1)。因此,Eit,O = PitτitT表示第i个设备的数据离载能耗。
some parameters are on the meta device because they were offloaded to the cpu
某些参数之所以位于元设备(Meta Device),是因为它们已经被卸载到了CPU上。在一些计算密集型的应用程序中,为了提高性能和利用硬件的优势,特别是对于那些不适合GPU处理的任务,开发者可能会选择将部分计算任务移到CPU上执行。这样一来,原本存储在GPU内存中的参数就会转移到CPU内存中管理。这种设计的好处在于CPU可以提供更大的内存空间,并且对于CPU来说处理这类任务相对更高效。当需要对这些参数进行操作时,数据会在CPU和GPU之间传输,实现了计算资源的有效分工。