Notice of Violation of IEEE Publication Principles: e-STAB: Energy-efficient scheduling for cloud computing applications with traffic load balancing

2014 ◽  
Author(s):  
Fatemeh Heydarikiya ◽  
Abolfazl Toroghy Haghighat ◽  
Maryam Heydarikiya
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Energy Efficient ◽  
Traffic Load ◽  
Energy Efficient Scheduling ◽  
Traffic Load Balancing

scholarly journals Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Abu Jahid ◽  
Mohammed H. Alsharif ◽  
Peerapong Uthansakul ◽  
Jamel Nebhen ◽  
Ayman A. Aly
Keyword(s):  
Load Balancing ◽  
Cellular Networks ◽  
Energy Efficient ◽  
Traffic Load ◽  
Traffic Load Balancing

scholarly journals Traffic Load Balancing Using Software Defined Networking (SDN) Controller as Virtualized Network Function

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 46646-46658 ◽  
Author(s):  
Sikandar Ejaz ◽  
Zeshan Iqbal ◽  
Peer Azmat Shah ◽  
Bilal Haider Bukhari ◽  
Armughan Ali ◽  
...  
Keyword(s):  
Load Balancing ◽  
Software Defined Networking ◽  
Traffic Load ◽  
Network Function ◽  
Sdn Controller ◽  
Traffic Load Balancing

scholarly journals ENERGY EFFICIENT LOAD BALANCING FOR CLOUD DATA CENTER

2017 ◽  
Vol 10 (13) ◽  
pp. 162
Author(s):  
Amey Rivankar ◽  
Anusooya G
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Energy Efficient ◽  
Large Scale ◽  
Virtual Machines ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Efficient Resource ◽  
Cloud Data Centers ◽  
Near Future

Cloud computing is the latest trend in large-scale distributed computing. It provides diverse services on demand to distributive resources such asservers, software, and databases. One of the challenging problems in cloud data centers is to manage the load of different reconfigurable virtual machines over one another. Thus, in the near future of cloud computing field, providing a mechanism for efficient resource management will be very significant. Many load balancing algorithms have been already implemented and executed to manage the resources efficiently and adequately. The objective of this paper is to analyze shortcomings of existing algorithms and implement a new algorithm which will give optimized load balancingresult.

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