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Conventional planning and optimization of cellular networks for supporting the peak-time user demand leads to substantial wastage of electrical energy. Therefore, we propose an energy-aware dynamic network provisioning framework for realizing green mobile cellular systems by reducing energy consumption in access networks. Proposed mechanism allows base stations (BSs) to offload their entire traffic...
With the rapid growth of the cloud industry in recent years, energy consumption of warehouse-scale datacenters has become a major concern. Energy-aware Virtual Machine consolidation has proven to be one of the most effective solutions for tackling this problem. Among the sub-problems of VM consolidation, VM placement is the trickiest and can be treated as a bin packing problem which is NP-hard, hence,...
Energy efficient routers (EERs) are promising devices to achieve green communications for ISP to save energy and cost. However, deploying this kind of routers may introduce severe accumulated packet delay, especially for high-end optical routers. In this paper, we present three contributions to solve the above issue with dynamically balancing QoS and the energy consumption, while preserve the real...
Reducing the energy consumed by wired computer networks is a challenge that has been actively investigated over the past few years. A popular mechanism proposed to reduce the consumption aims to put links and line cards to sleep mode during off-peak hours. Such a mechanism, however, decreases the available network capacity and increases the risk of congestion if traffic rises unexpectedly. This paper...
Virtual machine placement (VMP) is mapping virtual machines (VMs) to appropriate physical machines (PMs) to achieve satisfactory objectives such as minimised energy consumption or maximised performance. VMP is considered as a non-deterministic polynomial-time hard (NP-hard) problem. Metaheuristic techniques are able to find near-optimal solutions to NP-hard problems. This paper presents a review upon...
Cloud computing has made it feasible to access various IT resources through a high speed network from anywhere in the world. Constant increasing demand of cloud computing is equally popular in consumers as well as providers. But along with advancement every technology is also associated with some ill effects. On same path, cloud computing also accompanies a serious issue with it and that issue is...
In this paper, a joint reducing energy consumption and improving quality of service scheme for the migration of virtual network resources is proposed. This migration algorithm reflects the state of the virtual network resources dynamically, and the algorithm consists of two parts: Energy-efficient Module and QoS Module. Each Module is responsible for a specific function. The Energy-efficient Module...
Nowadays, data centers consume about 2% of the worldwide energy production, originating more than 43 million tons of CO2 per year. Cloud providers need to implement an energy-efficient management of physical resources in order to meet the growing demand for their services and ensure minimal costs. From the application-framework viewpoint, Cloud workloads present additional restrictions as 24/7 availability,...
This paper presents an energy efficient and quality of service aware dynamic cell zooming algorithm for dense heterogeneous networks. The exponential growth of mobile data traffic would lead to dense deployment of small base stations and eventually higher energy consumption in Fifth Generation (5G) wireless networks. We formulate a dynamic cell zooming and base stations sleep optimization algorithm...
Cloud computing is an emerging form of distributed computing that enables a reliable on-demand access to critical Information Technology (IT) services. This flexible access generally allows organizations to improve both their productivity and profitability compared to previous ownership-based computing paradigms. On the other side of the coin, the IT sector as a whole and data centers used in cloud...
One of the issues in virtual machine consolidation (VMC) in cloud data centers is categorizing different workloads to classify the state of physical servers. In this paper, we propose a new scheme of host's load categorization in energy-performance VMC framework to reduce energy consumption while meeting the quality of service (QoS) requirement. Specifically the under loaded hosts are classified into...
As the scale of cloud data centers becomes larger and larger, the energy consumption of data centers also grows rapidly. Dynamic consolidation of Virtual Machines (VMs) presents a significant opportunity to save energy by turning off idle or under-utilized Physical Machines (PMs) in data centers. In this paper, we present a multi-agent based architecture for performing dynamic VM consolidation task...
Since access networks are deployed to support peak traffic, part of base stations always keep active during off-peak period, resulting energy dissipation. In this paper, we propose a dynamic Base Station (BS) sleeping algorithm to reduce energy consumption, which exploits dynamic characteristics of mobile data traffic on time and spatial dimensions. Our novel approach aims to improve energy efficiency...
The access point sleeping scheme is an efficiency method for power saving in the cellular networks. This paper proposes a QoS-aware adaptive access point sleeping scheme designed for energy efficiency in the relay cellular networks. To achieve the best tradeoff between QoS guarantee of users and the power saving of the network, the optimization problem of the access point selection for each user is...
With enormous growth in the telecommunication industry, energy efficiency has become a critical issue. Base stations and the core network account for a large amount of energy consumption today. Traditional energy saving techniques switch some base stations off completely during light loads to save energy. This creates problems for the backhaul network and also for quickly returning to full capacity...
High response quality is critical for many best-effort interactive services, and at the same time, reducing energy consumption can directly reduce the operational cost of service providers. In this paper, we study the quality-energy tradeoff for such services by using a composite performance metric that captures their relative importance in practice: Service providers usually grant top priority to...
In this paper, we study the problem of reducing the energy consumption in a mobile communication network; we select the smallest set of active base stations that can preserve the quality of service (the minimum data rate) required by the users. In more detail, we start by posing this problem as an integer programming problem, the solution of which shows the optimal assignment (in the sense of minimizing...
Ubiquitous systems are generally embedded into the environment and provide their services all the time and everywhere. In order to increase transparency and personalization, ubiquitous applications are normally context-aware, i.e., they use information about entities of interest to adapt their services. Since they are connected to everyday elements, such systems are frequently shared by two or more...
By integrating multiple cores in a single chip, Chip Multiprocessors (CMP) provide an attractive approach to improve both system throughput and efficiency. This integration allows the sharing of on-chip resources which may lead to destructive interference between the executing workloads. Memorysubsystem is an important shared resource that contributes significantly to the overall throughput and power...
Designing quality of service (QoS) guaranteed communication protocol for wireless sensor networks (WSNs) is essential to exploit the advantages and flexibilities offered by this technology for real-time control and actuation applications. A novel cross-layer protocol that embraces altogether a semi-random routing, MAC, data aggregation, and radio power control for clustered WSNs is presented. The...
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