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The increase in the use of mobile devices from the first decade of this century has enabled users to perform several activities previously only possible through personal computers. However, the use of these devices is impacted by their known computational limitations, such as data processing, RAM memory, storage, and energy autonomy limitations. Considering this context, to measure the impact of the...
In recent studies, researchers have developed various computation offloading frameworks for bringing cloud services closer to the user via edge networks. Specifically, an edge device needs to offload computationally intensive tasks because of energy and processing constraints. These constraints present the challenge of identifying which edge nodes should receive tasks to reduce overall resource consumption...
During the last decades the growing demand for computer infrastructures and software has led to important increased in the number and the dimension of data centers. The energy used by the data centers (here are included the power for IT equipment and the power for the cooling infrastructure) has increased dramatically. The paper proposes an analysis of Power Usage Effectiveness (PUE), the classical...
An important challenge of modern data centres running Hadoop workloads is to minimise energy consumption, a significant proportion of which is due to the network. Significant network savings are already possible using Energy Efficient Ethernet, supported by a large number of NICs and switches, but recent work has demonstrated that the packet coalescing settings must be carefully configured to avoid...
Industrial Cyber-physical systems (ICPSs) are expected to provide effective solutions for improving the operation of many existing industrial manufacturing systems. Wireless sensor networks in the industrial field is classified as low-power and lossy network due to energy constrained devices, the dynamic environment and a high packet loss rate. Energy efficiency and delivery reliability need to be...
The extreme growth in deployment of cloud based services along with applications requiring high computational complexity has had an adverse effect on energy consumption in data centers. When cloud data centers add more computing capacity and increase in size, they generate more heat, require extra cooling. To counter this effect, energy dissipation must be reduced. Servers consume power even when...
The energy consumption of data centers has been increasing continuously during the last years due to the rising demands of computational power especially in current Grid- and Cloud Computing systems, which directly influence the increment in operational costs as well as carbon dioxide (CO2) emission. To reduce energy consumption within the cloud data center, it required energy-aware virtual machines...
As technology advances towards the deep sub-micron regime, energy consumption of digital circuits is becoming more serious. Supply voltage (VDD) scaling is the effective knob to achieve minimum energy consumption. This paper aims at obtaining the minimum energy optimal VDD for the design of Gate Diffusion Input (GDI) logic circuits. A 10 transistor (10T) GDI based full adder circuit is designed for...
With the widely using of network-on-chip in VLSI systems, mapping has been one of the most critical and general problem in VLSI design and test. In this paper, a breadth-first greedy algorithm is proposed to reduce internal congestion and solve the application mapping with the structure of the task topology and the shape of the mapping area. The experimental results show our solution achieves the...
Deep convolutional neural networks (CNNs) are indispensable to state-of-the-art computer vision algorithms. However, they are still rarely deployed on battery-powered mobile devices, such as smartphones and wearable gadgets, where vision algorithms can enable many revolutionary real-world applications. The key limiting factor is the high energy consumption of CNN processing due to its high computational...
Nowadays, many protocols have been designed to support smart grid system due to the massively of transferred data, reliability and the constrained of environment. RPL protocols have been designed to support with these constrains of networks: energy, memory, power and interconnection. To improve the performance, ETX and energy balance metrics must be use in RPL networks. In this paper, we propose Weight...
With the increasing penetration of renewable energy sources in the modern electric grid, it becomes more technically difficult and costly for system operators to balance generation and demand as traditional providers of flexibility (i.e., flexible generation) become uneconomic. Therefore new sources of flexibility are needed to maintain reliable operation. Flexible demand, including from electric...
Mobile multimedia has today become a promising application for end users and service providers. With reference to the existing systems for mobile communications, this application further demands for solving several technical problems, especially regarding video streaming over wireless networks. An interesting approach is in form ofWireless Mesh Network (WMN) based networks, where the individual video...
The huge energy consumption in data centers produces not only high electricity bill but also tremendous carbon footprints. Although today's servers and data centers of leading internet companies are more energy efficient than ever before, the fluctuations in external workload and internal resource utilization calls for energy proportional computing. Insight into server energy proportionality can help...
Web browsing is an activity that billions of mobile users perform on a daily basis. Battery life is a primary concern to many mobile users who often find their phone has died at most inconvenient times. The heterogeneous multi-core architecture is a solution for energy-efficient processing. However, the current mobile web browsers rely on the operating system to exploit the underlying hardware, which...
Live migration, which allows virtual machines (VMs) to move across distinct physical hosts, is widely adopted for realizing energy saving and load balancing in modern Cloud data centers. However, putting VMs with high correlations on their CPU utilization patterns onto the same host is very likely to trigger overloading incidents and commit Service Level Agreements (SLA) violations, even when the...
As more knowledge is vastly added to the devices fuelling the Internet of Things (IoT) energy efficiency and real-time data processing are great challenges that must be tackled. In this paper, we introduce ADMin, a low-cost IoT framework that reduces on device energy consumption and the volume of data disseminated across the network. This is achieved by efficiently adapting the rate at which IoT devices...
Cooperative communication approaches are being increasingly used to improve the reliability of Wireless Sensor Networks (WSNs) communication, allowing better spatial and temporal diversity. For the success of these techniques, a proper selection of the relay nodes is a crucial task. This paper proposes a new technique, named Smart, for the selection of cooperating WSN nodes according to criteria considered...
Energy efficiency in high performance computing (HPC) systems is a relevant issue nowadays, which is approached from multiple edges and components (network, I/O, resource management, etc). HPC industry turned its focus towards embedded and low-power computational infrastructures (of RISC architecture processors) to improve energy efficiency, therefore, we use an ARM-based cluster, known as millicluster,...
Telecommunication networks have been designed and deployed with over-provisioning and redundancy of resources to cope with traffic load during peak hours and quickly recover from failure. However, most of these resources are underutilized and in most of the time idle but consuming full energy. With the growing concern of energy waste and greenhouse gases (GHG), the network design principles tend to...
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