As cloud computing provides not only services that have been traditionally provided on the Internet but also 
many other services, it has a dramatically higher risk than conventional networks that an occurrence of 
congestion in one service leads to congestion in other services．Unlike conventional networks, cloud 
computing environments should provide not only bandwidth but also processing ability simultaneously. 
First, this paper compares two congestion control methods (Methods A and B)in cloud computing 
environments, assuming that multiple types of resource are allocated simultaneously, and clarifies the 
effective areas of two congestion control methods with computer simulations. Method A postpones the 
service completion time by delaying resource allocation. Method B reduces the size of required resource 
and allocates to the request, extending in turn the duration of resource allocation so that the total amount 
of resource required by the request will be satisfied. The effective areas of two congestion control methods 
are clarified with computer simulations. 
Then, this paper compares three control methods (Methods 1, 2 and 3) tocope with the excessive generation 
of requests from a specific access point, which results in the degradation in service quality of requests from 
other access points, and clarifies the effective areas of three control methods with computer simulations. 
Method 1 allocates minimum resources dedicated to each access point in each center. Method 2reduces the 
size of required resources of requests from a specific access point, and Method 3 thins out some of requests 
from a specific access point.

EVALUATION OF CONGESTION CONTROL METHODS FOR JOINT MULTIPLE RESOURCE ALLOCATION IN CLOUD COMPUTING ENVIRONMENTS PDF

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