TY  - JOUR
T1  - Evaluate of Queue Management RED and DT Mechanisms in
Wireless Cloud Computing Environment
AU - Iqbal Dohan, Mohammed AU - Muslam Abid Ali, Alaa Abid AU - Allawi Hussein, Salam AU - Issa Alrammahi, Atheer Hadi 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 22
SP  - 9771
EP  - 9776
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.9771.9776
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.9771.9776
KW  - Queue management
KW  -DT
KW  -RED
KW  -wireless cloud
KW  -mechanisms
KW  -service
AB  - Now a days, cloud computing has rapid development over the internet, especially in areas that
involves high demands on large scale of network computing such as IT. Sharing of resources is the main aim
of cloud computing where processing service and network bandwidth needed to access it should be allocated
concurrently. This becomes a challenging situation in avoiding congestion which affect the reliability of the
cloud computing and in turn, the usability of the application service. Current solutions concerns reducing the
size of required resource for congested resource type, rather than restricting all service requests as in the
existing networks. Even though those solutions achieve an efficient use of resources in under some congestion
conditions but they do not enable the fair allocation of the use of the resources. Furthermore, the effect of
congestion collapse in wireless cloud computing environment. This study present a sufficient comparative
evaluate of their performance over the commonly used congestion control mechanisms, namely Random Early
Detection (RED) and Drop-Tail (DT) queue management mechanism.
ER  -