Abstract
As a consequence of developing information and communication technology that is playing a significant role in our society and has changed our life dramatically, we witnessed a significant increase in energy consumption in computer systems and networks. Subsequently, energy harvesting technologies with renewable energy are of great interest in the field of computer systems and networks, and thus lead to abundant research which has been carried out to address energy harvesting from different aspects. However, the majority of them focuses on wireless or small-scale networks, which left wired networks with a general structure neglected. We first present a comprehensive systemic review of the trends of overall energy consumption, and energy and quality of service optimization in computer systems and networks. Then, this paper reviews the recent research progress in G-networks and energy packet networks with renewable and intermittent energy from both the system paradigms and the performance optimization and energy reduction algorithms for the wired networks.
Highlights
The recent growth of information and communication technology (ICT) has led to a rapid increase in energy consumption
Because the energy packet networks (EPN) model we have described is a special case of a G-network with two classes of customers, namely jobs for Class 1 and Energy packets (EPs) for Class 2, we can directly apply the product-form solution (PFS) given in G-network theory to the EPN model
We have briefly surveyed the current state of energy usage in ICT, and challenges and opportunities corresponding to developing energy harvesting (EH) technologies on the computer and network systems when EH can be used to replace or complement power supply from the grid, and relevant problems and applications
Summary
The recent growth of information and communication technology (ICT) has led to a rapid increase in energy consumption. The challenge of achieving energy-efficient ICT has, been extensively explored, including energy harvesting (EH) technologies with renewable sources of energy. Some of the previous work assumed that channel state information and energy harvesting profiles could be perfectly known [73, 98, 114]. Such systems can characterize the system state (both the channel state and the energy level), so as to derive the optimal distribution policies. Most of energy harvesting models consider optimization of quality of service (QoS) and energy efficiency for small-scale networks with one SN Computer Science Vol.:(0123456789)
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