Energy Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System

2020 ◽  
Author(s):  
Hemant Kumar Apat ◽  
Kunal Bhaisare ◽  
Bibhudatta Sahoo ◽  
Prasenjit Maiti
Keyword(s):  
Resource Management ◽  
Physical System ◽  
Energy Efficient ◽  
Fog Computing ◽  
Cyber Physical System ◽  
Efficient Resource

scholarly journals Fog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Lingyun Lu ◽  
Tian Wang ◽  
Wei Ni ◽  
Kai Li ◽  
Bo Gao
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
High Speed ◽  
Optimization Problem ◽  
Fog Computing ◽  
High Mobility ◽  
High Speed Train ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation ◽  
System Configurations

This paper presents a suboptimal approach for resource allocation of massive MIMO-OFDMA systems for high-speed train (HST) applications. An optimization problem is formulated to alleviate the severe Doppler effect and maximize the energy efficiency (EE) of the system. We propose to decouple the problem between the allocations of antennas, subcarriers, and transmit powers and solve the problem by carrying out the allocations separately and iteratively in an alternating manner. Fast convergence can be achieved for the proposed approach within only several iterations. Simulation results show that the proposed algorithm is superior to existing techniques in terms of system EE and throughput in different system configurations of HST applications.

scholarly journals A Cluster-Based Energy-Efficient Resource Management Scheme With QoS Requirement for Ultra-Dense Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 182412-182421
Author(s):  
Yanzan Sun ◽  
Ge Guo ◽  
Shunqing Zhang ◽  
Shugong Xu ◽  
Tao Wang ◽  
...  
Keyword(s):  
Resource Management ◽  
Energy Efficient ◽  
Dense Networks ◽  
Management Scheme ◽  
Efficient Resource ◽  
Qos Requirement

scholarly journals A Novel Energy Efficient Resource Management System in Cloud Computing Environment.

2018 ◽  
Vol 7 (4.19) ◽  
pp. 1030
Author(s):  
S. K. Sonkar ◽  
M. U.Kharat
Keyword(s):  
Resource Allocation ◽  
Energy Consumption ◽  
Resource Management ◽  
Virtual Machine ◽  
Energy Efficient ◽  
Service Providers ◽  
Optimization Techniques ◽  
Cloud Provider ◽  
Efficient Resource ◽  
Machine Allocation

Primary target of cloud provider is to provide the maximum resource utilization and increase the revenue by reducing energy consumption and operative cost. In the service providers point of view, resource allocation, resource sharing, migration of resources on demand, memory management, storage management, load balancing, energy efficient resource usage, computational complexity handling in virtualization are some of the major tasks that has to be dealt with. The major issue focused in this paper is to reduce the energy consumption problem and management of computation capacity utilization.  For the same, an energy efficient resource management method is proposed to grip the resource scheduling and to minimize the energy utilized by the cloud datacenters for the computational work. Here a novel resource allocation mechanism is proposed, based on the optimization techniques. Also a novel dynamic virtual machine (VM) allocation method is suggested to help dynamic virtual machine allocation and job rescheduling to improve the consolidation of resources to execute the jobs. Experimental results indicated that proposed strategy outperforms as compared to the existing systems.  

scholarly journals A Novel Bio-Inspired Hybrid Algorithm (NBIHA) for Efficient Resource Management in Fog Computing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 115760-115773 ◽  
Author(s):  
Hina Rafique ◽  
Munam Ali Shah ◽  
Saif Ul Islam ◽  
Tahir Maqsood ◽  
Suleman Khan ◽  
...  
Keyword(s):  
Resource Management ◽  
Hybrid Algorithm ◽  
Fog Computing ◽  
Efficient Resource
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