Energy-Efficient Network Memory for Ubiquitous Devices
نویسندگان
چکیده
This paper explores the energy and delay issues that occur when some or all of the local storage is moved out of the embedded device, and into a remote network server. We demonstrate using the network to access remote storage in lieu of local DRAM results in significant power savings. Mobile applications continually demand additional memory, with traditional designs increasing DRAM to address this problem. Modern devices also incorporate low-power network links to support connected ubiquitous environments. Engineers then attempt to minimize utilization of the network due to its perceived large power consumption. This perception is misleading. For 1KB application “pages,” network memory is more power efficient than one 2MB DRAM part when the mean time between page transfers exceeds 0.69s. During each transfer the application delay to the user is only 16ms.
منابع مشابه
EEQR: An Energy Efficient Query-Based Routing Protocol for Wireless Sensor Networks
Routing in Wireless Sensor Networks (WSNs) is a very challenging task due to the large number of nodes, their mobility and lack of proper infrastructure. Since the sensors are battery powered devices, energy efficiency is considered as one of the main factors in designing routing protocols in WSNs. Most of energy-aware routing protocols are mere energy savers that attempt to decrease the energy...
متن کاملEEQR: An Energy Efficient Query-Based Routing Protocol for Wireless Sensor Networks
Routing in Wireless Sensor Networks (WSNs) is a very challenging task due to the large number of nodes, their mobility and lack of proper infrastructure. Since the sensors are battery powered devices, energy efficiency is considered as one of the main factors in designing routing protocols in WSNs. Most of energy-aware routing protocols are mere energy savers that attempt to decrease the energy...
متن کاملSystem Support for Energy Management in Mobile and Embedded Workloads: A White Paper
One of the major challenges of the post-PC environment in which mobile and embedded devices are ubiquitous is the need to reduce the energy consumed in using these devices, thereby extending the lifetime of the batteries that power them as well as reducing the impact of the heat and noise produced by their operation. Energy efficiency of computers is desirable in its own right from both the eco...
متن کاملElectrical Energy Storage on the Hybrid Grid of Renewable Energy System Using Fuzzy Controller Optimization Algorithm
The main risks of arising from the using fossil fuels can be referred to environmental pollution, the effects of greenhouse gases, climate change and acid rain. For this reason, efficient use of energy in economic development has always been considered as an important goal of sustainable development. In this study, the effects of time-varying electricity prices in the energy storage components ...
متن کاملCMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
Deep Neural Networks are becoming increasingly popular in always-on IoT edge devices performing data analytics right at the source, reducing latency as well as energy consumption for data communication. This paper presents CMSIS-NN, efficient kernels developed to maximize the performance and minimize the memory footprint of neural network (NN) applications on Arm Cortex-M processors targeted fo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Micro
دوره 23 شماره
صفحات -
تاریخ انتشار 2003