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Energy consumption has become a major concern in the recent years and Green computing has arisen as one of the challenges in order to reduce CO2 emissions in the computing domain. Many efforts have been made to make hardware less energy consuming, reduce cooling energy of data and computing centers by relocating those facilities to cool regions and other. A novel approach to make the computing domain...
Coordinated Scheduling (CS) is one of the main techniques to control inter-cell interference in present (4G) and future (5G) cellular networks. We show that coordination of a cluster of nodes can be formulated as an optimization problem, i.e., placing the Resource Blocks in each node's subframe with the least possible overlapping with neighboring nodes. We provide a clever formulation, which allow...
The cost of grid energy of cloud providers rises greatly due to the growing number of Internet services. Therefore, researches on energy-efficient cloud data centers (ECDCs) are increasingly focused on the effective use of renewable energy instead of brown energy for environmental protection. Because of the temporal difference in price of grid, solar irradiance and wind speed, it is difficult to satisfy...
Recently, the railway sector is required to improve energy efficiency. Since no additional hardware investment is required, the authors are focused on the optimisation of the train timetable for less energy consumption. Train timetable contains the slack time for each interstation for robustness against delay. Although energy consumption can be reduced by the slack time, the slack time distribution...
Deregulated electricity markets with time varying electricity prices and opportunities for consumer cost mitigation makes energy storage such as a battery an attractive proposition; users can charge the battery when prices are low and discharge the battery for activities when prices are high. An electricity storage system with enough capacity to support hours of home use can be expensive for an individual...
In modern data centres (DCs), energy consumption and resource management are challenging tasks. So in large virtualized DCs, performance of applications is highly dependent on energy-aware DC architecture and smooth network communication between virtual machines (VMs), while minimizing the communication burden to avoid congestion, latency etc. The communication cost of a network can be reduced by...
In this paper, we consider energy efficient multiuser scheduling. Packet loss tolerance of the applications is exploited to minimize average system energy. There is a constraint on average packet drop rate and maximum number of packets dropped successively (bursty loss). A finite buffer size is assumed. We propose a scheme which schedules the users opportunistically according to the channel conditions,...
In this paper, we consider the problem of energy-efficient resource and power allocation in the uplink of multiuser multi-channel Orthogonal Frequency Division Multiplexing (OFDM) based systems subject to constraints on user equipment (UE) transmit power. This problem is non-deterministic polynomial-time hard and an optimum solution for a system with U users and N resource units requires a complexity...
GPU-enhanced clusters as mainstream components in the HPC field are expected to be heterogeneous in system layer and node layer as the evolvement of processing elements (CPUs and GPUs) and the expansion of nodes. In this paper, we proposed a flexible energy efficient task scheduling scheme for heterogeneous tasks in the heterogeneous GPU-enhanced clusters. A system model and a task model for the heterogeneous...
The energy cost of a typical data center is usually much higher than those standard office buildings. Inefficiency in energy management can thus hurt a company. Currently, there are many commercial software that emphasize how to measure and control the energy usage. However, most of these available packages are not able to accurately predict behaviors of various applications submitted to a data center...
In heterogeneous computing systems it is crucial to schedule tasks in a manner that exploits the heterogeneity of the resources and applications to optimize systems performance. Moreover, the energy efficiency in these systems is of a great interest due to different concerns such as operational costs and environmental issues associated to carbon emissions. In this paper, we present a series of original...
An efficient cooperative spectrum sensing based cognitive radio network employs a certain number of secondary users to sense the spectrum while satisfying a constraint on the detection performance. We derive the optimal number of cognitive radios under two scenarios: an energy efficient and a throughput optimization setup. In the energy efficient setup, the number of cooperating cognitive radios is...
The pressure of the energy bill from operators and the request of the environmental protection from the governments and public results in more urgent requirement on the energy consumption and CO2 emission. Traditionally, the bandwidth and the transmit power are jointly considered to maximize the throughput of the wireless networks, while the energy efficiency of the wireless transmission is ignored...
With increasing complexity of MPSoCs, efficient runtime management of system resources becomes of vital importance for improving the system performance and energy efficiency. OSIP-an operating system application-specific instruction-set processor - provides a promising solution to this. It delivers high computational performance to deal with dynamic task scheduling and mapping, while still being programmable...
Coverage is one fundamental problem in wireless sensor networks, it reflects how well an area is monitored or surveyed by sensors. Some applications require a high degree of coverage as it would want a region to be monitored by multiple nodes simultaneously. Nevertheless, the failure of one or several sensors, can paralysis the area coverage unless it was before completely covered.In this paper we...
This paper studies time division multiple access (TDMA) scheduling with both energy efficiency and optimized delay in clustered wireless sensor networks (WSNs). To achieve this goal, we first build a cross-layer optimization model for attaining network wide efficient energy consumption. We solve this model by transforming it into simpler sub-problems that can be solved using conventional methods....
Energy efficiency is a primordial issue in the wireless sensor networks. This is achieved by deactivating nodes when possible. In this paper we describe the MAC protocol MaCARI that synchronizes nodes in order to schedule active and inactive periods. MaCARI divides time into three periods: a synchronization period, a scheduled activities period where communications are constrained by a tree and an...
Increasing demand for larger high-performance applications requires developing more complex systems with hundreds of processing cores on a single chip. To allow dynamic voltage scaling in each on-chip cores individually, many on-chip voltage regulators must be used. However, the limitations in implementation of on-chip inductors can reduce the efficiency, accuracy and the number of voltage modes generated...
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