Authors : Mohammed Iqbal Dohan, Alaa Abid Muslam Abid Ali, Salam Allawi Hussein and Atheer Hadi Issa Alrammahi
Abstract: 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.
Mohammed Iqbal Dohan, Alaa Abid Muslam Abid Ali, Salam Allawi Hussein and Atheer Hadi Issa Alrammahi, 2018. Evaluate of Queue Management RED and DT Mechanisms in Wireless Cloud Computing Environment. Journal of Engineering and Applied Sciences, 13: 9771-9776.