Performance Analysis of Load Balancing and Physical Machines in Cloud Computing Centers with General Service Time

Author(s):  
Ashri Shabrina Afrah ◽  
Moechammad Sarosa ◽  
Sholeh Hadi Pramono
Author(s):  
G. Soniya Priyatharsini ◽  
N. Malarvizhi

Cloud computing is a service model in internet that provides virtualized resources to its clients. These types of servicing give a lot of benefits to the cloud users where they can pay as per their use. Even though they have benefits, they also face some problems like receiving computing resources, which is guaranteed on time. This time delay may affect the service time and the makespan. Thus, to reduce such problems, it is necessary to schedule the resources and then allocate it to using an optimized hypervisor. Here, the proposed method is used to do the above-mentioned problem. First, the available resources are clustered with respect to their characteristics. Then the resources are scheduled using this method. Finally, with respect to that of the clients request the resources, the resources are allocated. Here, the cost is the fitness of the allocation.


2019 ◽  
Vol 8 (2) ◽  
pp. 47 ◽  
Author(s):  
Abdulrahman Abdulkarim ◽  
Ishaq Muhammed ◽  
Lele Mohammed ◽  
Abbas Babayaro

2019 ◽  
Vol 16 (9) ◽  
pp. 3770-3773
Author(s):  
Pooja Mangla ◽  
Sandip Kr. Goyal

Today one of the new and emerging technologies is Cloud Computing, which denotes to operating, organizing, and retrieving the services over the internet. It is the pre-requisite of IT services on the Internet. In this, Load balancing is the issue region of Cloud Computing, which has a noteworthy effect for characterizing the resource accessibility. In this, Meta-heuristic techniques are applied on Load Balancing in Cloud Computing and their results are shown.


2020 ◽  
Vol 13 (1) ◽  
pp. 32-39
Author(s):  
Vladimir Zolnikov ◽  
O. Oksyuta ◽  
Nur Dayub

Currently, the widespread use of cloud computing has led to an increase in the load on cloud servers. The large number of services provided requires a large amount of traffic. This article discusses load balancing algorithms in cloud computing and analyzes their effectiveness. The effectiveness of the algorithms is evaluated by comparing the response time and cost of the VM for three different regions.


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