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The future 5G communication will bring about the surge of traffic. The traffic of cellular network has great non-uniformity and volatility in space and time, which brings opportunities and challenges to the planning and management of cellular network. The energy consumption on base station (BS) accounts for more than 50% of the total energy consumption of the cellular network. Due to the space-time...
Emerging fog and mobile edge computing paradigms will create distributed pervasive virtualization environments, where computing, storage, and networking resources will be deployed at the network boundary in a capillary way. To effectively tackle the large dynamic fluctuations in workload engendered by user-centric services, effective energy management schemes must be in place to modulate power consumption...
Many of todays important applications of our everyday lives, e.g. weather forecast, design of plane and car shapes, medical analysis or even search engine queries depend on massively-parallel computer programs that are executed in data centers hosting thousands of computers. A large amount of electrical energy is used to power them, and it is of primary importance to compute more efficiently to sustain...
Small cells have been proposed to improve the signal quality of cell edge users and enhance the serving coverage. But a large number of small cells will cause severe interference and high energy consumption. Hence, green communication is an important issue. The main contribution of this paper is to provide an interference-aware small cell on/off mechanism in a downlink heterogeneous network system...
As the number of data centers increases, it is urgent to reduce their energy consumption. Although servers are becoming more energy-efficient, their idle consumption remains high, which is an issue as data centers are often over-provisioned. This work proposes a novel approach for building data centers with heterogeneous machines carefully chosen for their performance and energy efficiency ratios...
Programming heterogeneous multiprocessor architectures is a real challenge dealing with a huge design space. Computer-aided design and development tools try to circumvent this issue by simplifying instantiation mechanisms. However, energy consumption is not well supported in most of these tools due to the difficulty to obtain fast and accurate power estimation. To this aim, this paper proposes and...
In this study we provide an economic analysis of the energy consumption savings obtained by introducing research results of the European project CONVINcE for Video On Demand and Video “over the top” (OTT) services. This should allow positioning quantitatively possible savings in the end-to-end chain, including service suppliers (head-ends), networks and customers (terminals). The key performance indicator...
This article introduces an energy efficient heuristic that performs resource provisioning and Virtual Machine (VM) migration in the Disaggregated Server (DS) schema. The DS is a promising paradigm for future data centers where servers' components are disaggregated at the hardware unit levels and resources of similar type are combined in type respective pools, such as processing pools, memory pools...
The paper is about the problem of reducing the power consumption in Video Distribution Networks (VDNs) under the condition of best performance provision in terms of Quality of Experience (QoE) measured at the end user. Related to this, it has been observed that, given an end-to-end video distribution network, it is the last networking segment ending to terminal that has the dominant role in the provision...
Power consumption is a primary concern for cloud computing data centers. Being the network one of the non-negligible contributors to energy consumption in data centers, several architectures have been designed with the goal of improving network performance and energy-efficiency. In this paper, we provide a comparison study of data center architectures, covering both classical two- and three-tier design...
Networks-on-Chip (NoCs) have garnered significant interest as communication backbone for multicore processors used across a wide range of fields that demand higher computation capability. Wireless NoCs (WNoCs) by augmenting single hop, long range wireless links with wired interconnects; offer the most promising solution to reduce multi-hop long distance communication bottlenecks and opens up innumerable...
To facilitate efficient context switches, GPUs usually employ a large-capacity register file to accommodate a massive amount of context information. However, the large register file introduces high power consumption, owing to high leakage power SRAM cells. Emerging non-volatile STT-RAM memory has recently been studied as a potential replacement to alleviate the leakage challenge when constructing...
The centralized Radio Access Networks (RAN) architecture is one of the promising approaches to reduce energy consumption of Base Stations (BSs), while BS sleeping technology can achieve further energy savings. In this paper, a power consumption model of the centralized RAN architecture is proposed, which has not been addressed before. Moreover, we analyze the existing BS sleeping schemes and compare...
Optimizing the total power consumption within a data center is an NP-hard problem. Project nano data center was started with the promise of reducing power and cooling cost. This paper is focused on reducing the total power consumption within a nano data center by introducing power-aware server selection. We studied effects of several attributes such as power consumption of servers, size of request,...
In this work a control system for restoration reserve providers is proposed in which optimal biddings of restoration reserve capacity are made based on the predicted flexibility of the reserve resources within the portfolio of the reserve provider. It is assumed that the gate closure time for submitting reserve capacity bids is 1 hour before activation time. The reserve capacity bids need to be formed...
A significant number of cryptographic architectures rely on the efficient and resilient implementation of the Montgomery modular multiplier. One of the most used attacks on cryptographic implementations is based on Differential Power Analysis (DPA) or one of its variants. In this paper, a specially adjusted Latch-less Asynchronous Charge Sharing Logic (LACSL) is developed to inherently defend such...
Traditionally, the primary focus of datacenter and network designers has been on the performance improvement and high system throughput. Energy consumption has been rarely a design consideration. But in the recent years, the ICT sector has grown exponentially and many studies, on energy consumption of datacenters, reveal that there is requirement of developing new mechanisms, for using energy efficiently...
Network on chip (NoC), a communication subsystem provides efficient communication between IP cores like data transmission between IP cores through link interface. This technology implies the parameters consideration and one main consideration is power. The power dissipated by the links through a network on chip starts to compete with the power dissipated by the other elements. Proposed Power reduction...
A low-power system of RFID sensor networks was designed in this paper, which was used to solve the high energy consumption caused by collision. The architecture of RFID sensor networks based on intelligent node was used in this system, and the intelligent node was composed of an RFID reader and a sensor node through the MCU of MSP430. The channel of WSN was utilized to control the reading of RFID...
Although cloud computing has been transformational to the IT industry, it is built on large data centres that often consume massive amounts of electrical power. Efforts have been made to reduce the energy clouds consume, with certain data centres now approaching a Power Usage Effectiveness (PUE) factor of 1.08. While this is an incredible mark, it also means that the IT infrastructure accounts for...
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