A cyber-physical integrated system for application performance and energy management in data centers

2012 ◽  
Author(s):  
Hui Chen ◽  
PengCheng Xiong ◽  
Karsten Schwan ◽  
Ada Gavrilovska ◽  
ChengZhong Xu
Keyword(s):  
Energy Management ◽  
Data Centers ◽  
Integrated System ◽  
Application Performance

Preemption-Aware Energy Management in Virtualized Data Centers

2012 ◽  
Author(s):  
Mohsen Amini Salehi ◽  
P. Radha Krishna ◽  
Krishnamurty Sai Deepak ◽  
Rajkumar Buyya
Keyword(s):  
Energy Management ◽  
Data Centers ◽  
Virtualized Data Centers

scholarly journals Energy Management System Designed for Residential Grid connected Micro Grid

2021 ◽  
Vol 12 (3) ◽  
pp. 4627-4634
Author(s):  
N.Pooja Et.al
Keyword(s):  
Energy Management ◽  
Management System ◽  
System Modeling ◽  
Energy System ◽  
Pi Controller ◽  
Integrated System ◽  
Energy Sources ◽  
Energy Management System ◽  
Battery System ◽  
Micro Grid

This paper presents an energy management system supported by PI Controller for a residential grid connected micro grid with renewable hybrid generation (wind and photo voltaic) and battery system. Modeling hybrid system includes non conventional energy sources given at sporadic supply conditions and dynamic energy demand, and to make conceptual energy storage with the help of battery system . Designing  an  appropriate  scheme  that dynamically changes modes of renewable integrated system based on the availability of RES power and changes in load. Wind,PV are the primary power supply of the system; battery is going  to  be act  as  a  substitute.The  PI  controller  is developed and carried  out for the aimed hybrid(Wind and PV) energy system to integrate the non conventional energy sources to the serviceability either to grid or to Residential loads.main objective is improvement of transients during switching  periods  by  using an efficient PI controller.maximum power point tracking is also  other objective is energy management system designed for the residential grid connected Micro Grid. Simulations are carried out on the proposed Hybrid energy system using MATLAB/ SIMULINK.

scholarly journals Managing Energy Plus Performance in Data Centers and Battery-Based Devices Using an Online Non-Clairvoyant Speed-Bounded Multiprocessor Scheduling

2020 ◽  
Vol 10 (7) ◽  
pp. 2459 ◽  
Author(s):  
Pawan Singh ◽  
Baseem Khan ◽  
Om Prakash Mahela ◽  
Hassan Haes Alhelou ◽  
Ghassan Hayek
Keyword(s):  
Energy Management ◽  
Completion Time ◽  
Processing Time ◽  
Data Centers ◽  
Function Analysis ◽  
Multiprocessor Scheduling ◽  
Flow Time ◽  
Service Cost ◽  
Energy Plus ◽  
Time Required

An efficient scheduling reduces the time required to process the jobs, and energy management decreases the service cost as well as increases the lifetime of a battery. A balanced trade-off between the energy consumed and processing time gives an ideal objective for scheduling jobs in data centers and battery based devices. An online multiprocessor scheduling multiprocessor with bounded speed (MBS) is proposed in this paper. The objective of MBS is to minimize the importance-based flow time plus energy (IbFt+E), wherein the jobs arrive over time and the job’s sizes are known only at completion time. Every processor can execute at a different speed, to reduce the energy consumption. MBS is using the tradition power function and bounded speed model. The functioning of MBS is evaluated by utilizing potential function analysis against an offline adversary. For processors m ≥ 2, MBS is O(1)-competitive. The working of a set of jobs is simulated to compare MBS with the best known non-clairvoyant scheduling. The comparative analysis shows that the MBS outperforms other algorithms. The competitiveness of MBS is the least to date.

Blockchain-based decentralized workload and energy management of geo-distributed data centers

2020 ◽  
pp. 100461 ◽  
Author(s):  
Sara Sajid ◽  
Muhammad Jawad ◽  
Kanza Hamid ◽  
Muhammad U.S. Khan ◽  
Sahibzada M. Ali ◽  
...  
Keyword(s):  
Energy Management ◽  
Data Centers ◽  
Distributed Data
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