A Longest Matching Resource Mapping Algorithm with State Compression Dynamic Programming Optimization

2019 ◽  
pp. 625-636
Author(s):  
Zhang Min ◽  
Teng Haibin ◽  
Jiang Ming ◽  
Wen Tao ◽  
Tang Jingfan
Keyword(s):  
Dynamic Programming ◽  
Mapping Algorithm ◽  
Resource Mapping

scholarly journals Min-Time TS: task resource mapping algorithm in cloud computing

2021 ◽  
Vol 1055 (1) ◽  
pp. 012096
Author(s):  
G K Kamalam ◽  
T Kalaiyarasi ◽  
S V Monaa ◽  
B Gurudharshini
Keyword(s):  
Cloud Computing ◽  
Mapping Algorithm ◽  
Resource Mapping

Elastic Optical Network Service-Oriented Architecture (SOA) Used for Cloud Computing and Its Resource Mapping Optimization Scheme

2020 ◽  
Vol 15 (4) ◽  
pp. 442-449
Author(s):  
Xun Xia ◽  
Ling Chen
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Resource Utilization ◽  
Service Oriented Architecture ◽  
Optical Network ◽  
Spectrum Utilization ◽  
Mapping Algorithm ◽  
Resource Mapping ◽  
Elastic Optical Network ◽  
Service Oriented

In this study, starting from the elastic optical network, the layered and function isolated service-oriented architecture (SOA) is introduced, so as to propose an elastic optical network SOA for cloud computing, and further study the resource mapping of optical network. Linear mapping model, random routing mapping algorithm, load balancing mapping algorithm and link separation mapping algorithm are introduced respectively, and the resource utilization effect of different mapping algorithms for the proposed optical network is compared. During the experiment, firstly, the elastic optical network is tested. It is found that the node utilization and spectrum utilization of the underlying optical fiber level network are significantly improved. Within the average service time of 0.312 s∼0.416 s, the corresponding node utilization and spectrum utilization are 90% and 80% respectively. In the resource mapping experiment, load balancing algorithm and link separation algorithm can effectively improve the mapping success rate of services. Among them, the link separation mapping algorithm can improve the spectrum resource utilization of optical network by 15.6%. The elastic optical network SOA proposed in this study is helpful to improve the use of network resources.

Resource Mapping Algorithm Between the Layers Based on Reconfigurable Network

2013 ◽  
Vol 12 (7) ◽  
pp. 1268-1278
Author(s):  
Bin Zhuge ◽  
Li Deng ◽  
Huanhuan Song ◽  
Guowei Dai ◽  
Weiming Wang ◽  
...  
Keyword(s):  
Mapping Algorithm ◽  
Resource Mapping

scholarly journals Research on Feedback-Sensitive Resource Mapping Algorithm Based On Simulated Annealing in SDN

2019 ◽  
Vol 154 ◽  
pp. 96-101
Author(s):  
Wei Guang Guo ◽  
Jun Luo ◽  
Song Han ◽  
Zu Yao Zhang ◽  
Ye Ge
Keyword(s):  
Simulated Annealing ◽  
Mapping Algorithm ◽  
Resource Mapping

scholarly journals The Resource Mapping Algorithm of Wireless Virtualized Networks for Saving Energy in Ultradense Small Cells

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Sai Zou ◽  
Fan Yang ◽  
Yulian Tang ◽  
Lei Xiao
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Resource Utilization ◽  
Resource Sharing ◽  
Hot Spot ◽  
Small Cell ◽  
Small Cells ◽  
Saving Energy ◽  
Mapping Algorithm ◽  
Resource Mapping

As the current network is designed for peak loads, it results in insufficient resource utilization and energy waste. Virtualized technology makes it possible that intelligent energy perception network could be deployed and resource sharing could become an effective energy saving technology. How to make more small cells into sleeping state for energy saving in ultradense small cell system has become a research hot spot. Based on the mapping feature of virtualized network, a new wireless resource mapping algorithm for saving energy in ultradense small cells has been put forward when wireless resource amount is satisfied in every small cell. First of all, the method divides the virtual cells. Again through the alternate updating between small cell mapping and wireless resource allocation, least amount of small cells is used and other small cells turn into sleeping state on the premise of guaranteeing users’ QoS. Next, the energy consumption of the wireless access system, wireless resource utilization, and the convergence of the proposed algorithm are analyzed in theory. Finally, the simulation results demonstrate that the algorithm can effectively reduce the system energy consumption and required wireless resource amount under the condition of satisfying users’ QoS.

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