Shin-ichiKuribayashi
Department of Computer and Information Science, Seikei University, Japan
ABSTRACT
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.
KEYWORDS
Congestion control, Joint multiple resourceallocation, Resource management, cloud computing
environments
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