CPU and memory performance analysis on dynamic and dedicated resource allocation using XenServer in Data Center environment

2016 ◽  
Author(s):  
Haydar Ali Ismail ◽  
Mardhani Riasetiawan
Keyword(s):  
Resource Allocation ◽  
Performance Analysis ◽  
Data Center ◽  
Memory Performance

Preference Based Resource Allocation In Cloud Data Center

2018 ◽  
Vol 6 (2) ◽  
pp. 287-292
Author(s):  
M.R. Dave ◽  
◽  
H.B. Patel ◽  
B. Shrimali ◽  
◽  
...  
Keyword(s):  
Resource Allocation ◽  
Data Center ◽  
Cloud Data Center ◽  
Cloud Data

Resource Allocation in Electrical/Optical Hybrid Switching Data Center Networks

2017 ◽  
Vol 9 (8) ◽  
pp. 648 ◽  
Author(s):  
Zhangxiao Feng ◽  
Weiqiang Sun ◽  
Jie Zhu ◽  
Junyi Shao ◽  
Weisheng Hu
Keyword(s):  
Resource Allocation ◽  
Data Center ◽  
Data Center Networks ◽  
Hybrid Switching

Performance analysis of optical interconnects’ architectures for data center networks

2016 ◽  
Vol 19 (3) ◽  
pp. 1139-1161 ◽  
Author(s):  
Mohsin Fayyaz ◽  
Khurram Aziz ◽  
Ghulam Mujtaba
Keyword(s):  
Performance Analysis ◽  
Data Center ◽  
Optical Interconnects ◽  
Data Center Networks

scholarly journals Integrated approach for efficient power consumption and resource allocation in MIMO-OFDMA

2020 ◽  
Vol 10 (2) ◽  
pp. 2069
Author(s):  
Archana B. ◽  
T. P. Surekha
Keyword(s):  
Resource Allocation ◽  
Performance Analysis ◽  
Wireless Communication ◽  
Power Consumption ◽  
Data Rate ◽  
High Data Rate ◽  
Smart Devices ◽  
Ofdma System ◽  
High Data ◽  
Redundant Data

The growing interest towards wireless communication advancement with smart devices has provided the desired throughput of wireless communication mechanisms. But, attaining high-speed data packets amenities is the biggest issue in different multimedia applications. Recently, OFDM has come up with the useful features for wireless communication however it faces interference issues at carrier level (intercarrier interferences). To resolve these interference issues in OFDM, various existing mechanisms were utilized cyclic prefix, but it leads to redundancy in transmitted data. Also, the transmission of this redundant data can take some more power and bandwidth. All these limitations factors can be removed from a parallel cancellation mechanism. The integration of parallel cancellation and Convolution Viterbi encoding and decoding in MIMO-OFDMA will be an effective solution to have high data rate which also associations with the benefits of both the architectures of MIMO and OFDMA modulation approaches. This paper deals with this integrated mechanism for efficient resource allocation and power consumption. For performance analysis, MIMO-OFDMA system is analyzed with three different approaches likeMIMO-OFDM system without parallel cancellation (MIMO-OFDMA-WPC), MIMO-OFDMA System with parallel cancellation (MIMO-OFDMA-PC) and proposed IMO-OFDMA system with parallel cancellation and Convolution Viterbi encoding/decoding (pMIMO-OFDMA-PC &CVed) for 4x4 transmitter and receiver. Through performance analysis, it is found that the proposed system achieved better resource allocation (bandwidth) with high data rate by minimized BER rate and achieved least power consumption with least BER.

From Data Center Resource Allocation to Control Theory and Back

2010 ◽  
Author(s):  
Xavier Dutreilh ◽  
Aurélien Moreau ◽  
Jacques Malenfant ◽  
Nicolas Rivierre ◽  
Isis Truck
Keyword(s):  
Resource Allocation ◽  
Control Theory ◽  
Data Center
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