“…In this paper [9], a dynamic voltage and frequency scaling (DVFS) enabled Energy-efficient Workflow Task Scheduling algorithm (DEWTS) has been proposed, with the aim of acquire more power drop on top of assures the quality of service (QoS). The algorithm divides the parallel tasks in workflows to the suitable CPU, and use them at proper time to decrease power consumption and obtain demanded performance.…”
Section: Energy-efficiency Based Task Scheduling Algorithmmentioning
“…In this paper [9], a dynamic voltage and frequency scaling (DVFS) enabled Energy-efficient Workflow Task Scheduling algorithm (DEWTS) has been proposed, with the aim of acquire more power drop on top of assures the quality of service (QoS). The algorithm divides the parallel tasks in workflows to the suitable CPU, and use them at proper time to decrease power consumption and obtain demanded performance.…”
Section: Energy-efficiency Based Task Scheduling Algorithmmentioning
“…To measure how far a system power model is from the ideal (energy proportional) one, Proportionality Gap(PG) [45] is defined as the normalized difference of the real power value and the ideal power value, which is indicated as P M ax Ă U , under a certain utilization level as shown in (4). Therefore, having proportionality gap values for a given device, we can reconstruct the power model of the device.…”
Section: Energy Proportionalitymentioning
confidence: 99%
“…Hence, relying on the state-of-the-art hardware, we can meet the first element. Some work on energy efficient VM assignment [1][2][3][4][5][6] and migration [7] have been performed. Efforts have also been made to compare the private cloud and public cloud energy efficiency [8].…”
Abstract. The cost of power and its associated delivery are becoming significant factors in the total expenditure of large-scale data centers. Numerous techniques have been proposed to address the energy efficiency issue in cloud systems. Recently, some efforts have been made to decentralize the cloud via distributing data centers in diverse geographical positions, at different scales. In this paper, we elaborate on the energy effectiveness of service provisioning on different cloud architectures, from a mega-data center to a nano data center, which provides the extreme decentralization in terms of cloud architecture, as well as P2P-clouds or community network clouds. We study the energy consumption through an analytical and simulation framework for video streaming and MapReduce applications.
“…Some of the literal shortcomings of DVFS include less scalability, state transition delay in turn diminishing results. [7,8] To maintain Quality of Service (QoS), DVFS based DEWTS (Energy efficient Workflow Task Scheduling Algorithm) was proposed as an improved version. The fact is that they could be actively used only for DVFS enabled devices and so the procedures make a long way to go.…”
Energy management techniques such as adaptive proportional resonance and advanced droop controllers are incorporated in micro grid systems in addition to distribution generation units and grids to regulate load voltage and to distribute power efficiently in the distributed generation units. A predictive control algorithm is implemented to enable computational time efficiency for complex operations by solving steady state and transient control problems.
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