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In green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to calculate on the fly the Lower and Upper Threshold Limit using Statistical Process Control theory. This new algorithm...
The green-house effect has been a major concern for all researchers and big company world-wide. This study reduces the power consumption of single server without degrading the quality of the service by focusing on minimizing the migration of Virtual Machine. Existing migration system for Virtual Machine does not perform well for kinds of load toward single server. Thus, a new algorithm is calculated...
Computing resource allocation in Baseband Unit (BBU) Pool is a challenging research topic for a Centralized Radio Access Network (C-RAN) when the resource allocation algorithm has to heed thermal characteristics of the computing resources (Processors) of BBU along with the optimization of power consumption and computing resource usage. Since the network load acts as a heat source for the processor...
5G networks are expected to be highly energy efficient, with a 10 times lower consumption than today's systems. An effective way to achieve such a goal is to act on the backhaul network by controlling the nodes operational state and the allocation of traffic flows. To this end, in this paper we formulate energy-efficient flow routing on the backhaul network as an optimization problem. In light of...
In the last few years, there has been a remarkable growth in the number of data centers, which represent one of the leading sources of increased business data traffic on the Internet. An effect of the growing scale and the wide use of data centers is the dramatic increase of power consumption, with significant consequences both in terms of environmental and operational costs. Hence, energy awareness...
In this paper, we investigate the issue of minimizing data center energy usage. In particular, we formulate a problem of virtual machine placement with the objective of minimizing the total power consumption of all the servers. To do this, we examine a CPU power consumption model and then incorporate the model into an mixed integer programming formulation. In order to find optimal or near-optimal...
This paper proposes an adaptive algorithm that controls power allocation for each antenna module in millimeter-wave (mmWave) modular antenna array (MAA) systems. In the system, multiple MAA modules exist; and the proposed algorithm dynamically allocates powers to MAA modules depending on the buffer in terms of the joint optimization of energy-efficiency and buffer stability, in each unit time. Performance...
Many recent studies have proposed energy efficient approaches that use various techniques such as Dynamic Voltage Scaling (DVFS), CPU idling, and server consolidation in data centers. Also, many networking problems could be introduced by server consolidation techniques. In this research, we introduce an enhanced technique called Network and Power Aware (NPA) server consolidation that will dynamically...
The mobile traffic explosion predicted to be increased by 1000 times in the next 10 years has become a remarkable issue due to the proliferation of smart devices such as smart phones or tablets. Energy consumption of information processing is also becoming an economic issue for operators. It is a critical task to design the next generation cellular networks (5G) to be both spectral/energy efficient...
As multi-domain elastic optical networks (EONs) can enhance network scalability, extend service reach, and accommodate the inter-operability issues, it is very relevant to consider them in practical network operations. In this work, we study the problem of how to achieve energy-aware service provisioning in a multi-domain EON, where the optoelectronic regenerators only exist in border nodes. We consider...
As cloud computing is becoming the new generation of computing paradigm because of its many attractive attributes, huge data centers are built and operated to host the cloud services. Since these data centers usually incur a high electricity bill, the problem of reducing the electricity cost and maximizing the profit for a data center operator arises naturally. Because of the trend of dynamic pricing...
A thrust allocation method with a functionality to assist power management systems by using the hull of the ship as a store of potential energy in the field of environmental forces has been recently proposed and demonstrated to work in simulation. This functionality allows the thrust allocation algorithm to decrease the power consumption in the thrusters when a sharp increase in power consumption...
Improving energy efficiency is a multidimensional challenge regarding cloud computing environments management, which can directly reduce the operating costs and carbon dioxide emissions, while increasing the system reliability. An energy-efficient resource allocation approach for real-time cloud services is proposed in this paper. Several policies for provisioning of virtual machines (VMs) and hosts...
Energy efficiency has become one of the major design constraints for current and future cloud infrastructures. One way to conserve energy is to transition idle clusters, network elements and servers into low-powerstates. Therefore, Virtual Machine placement and dynamic re-configuration algorithms have beenrecently proposed for increasing the energy efficiency of virtualized infrastructures. However,...
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...
In this paper, the authors discuss a power allocation management system to maximize user's Quality-of-Life, keeping total power consumption within a limited amount of available power, which is implemented utilizing smart outlets, a controller and a power allocation algorithm. We can treat power allocation for energy-saving and reducing peak load as the knapsack problem, regarding that an appliance...
General-purpose computing on GPUs (GPGPU computing) is becoming widely adopted; however, some GPGPU applications fail to fully utilize GPU resources. In these cases, spatial multitasking better exploits the parallelism offered by GPUs by partitioning the GPU resources among simultaneously-running applications. When one or more such applications have quality-of-service (QoS) requirements, enough resources...
Power consumption is a critically important issue for data centers. Virtual machine (VM) consolidation is fundamentally employed to improve resource utilization and power optimization in modern data centers. In general, VM consolidation is formulated as a vector bin packing problem, which is a well-known NP-hard problem. Hence, heuristic algorithms, such as single dimensional heuristics (e.g., first...
Cloud computing is one of the fast spreading technologies for providing utility based IT services to users. These services are provided by large-scale virtualised data centers. As it is these data centers consume large amount of electrical energy for their operation and maintenance. Extensive research had been undertaken to reduce the power consumption of data center by bringing changes in the hardware...
Nowadays implementation of local cloud is popular, organization are becoming aware of power consumed by unutilized resources. Reducing power consumption has been an essential requirement for cloud environments not only to decrease operating cost but also improve the system reliability. The energy-aware computing is not just to make algorithms run as fast as possible, but also to minimize energy requirements...
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