AN ADAPTIVE APPROACH TO PROVIDE QOS SUPPORT WITH DEMAND FOR VARIABLE RESOURCES OVER CLOUD FOR TASKS MANAGEMENT (ADAR)

Time critical services or tasks in use over a mobile cloud computing plays a significant role in various intelligent agent based applications to support on effective Quality of Services (QoS) for multiple heterogeneous services to control and monitor in minimal time and optimal cost. This paper presents a survey of resource agent based cloud computing services over mobile cloud computing. The service reviews on advantages of optimal QoS supportive resource management techniques such as neural network, fuzzy logic, decision tree and others to provide optimal resource utilization on cloud computing environment. This paper depicts evaluation criteria of selected researches based on usability, agility and method being applied. Selected researches in this research domain are analyzed, summarized, and compared according to task or job in use over cloud-environment, where results show an optimal throughput, minimal delay and memory occupied.