Date Added: Mar 2013
Cloud computing is increasingly been used in enterprises and business markets for serving demanding jobs. The performance of resource scheduling in cloud computing is important due to the increase in number of users, services and type of services. Resource scheduling is influenced by many factors such as CPU speed, memory, bandwidth etc. Therefore resource scheduling can be modeled as a multi criteria decision making problem. This study proposes an efficient QoS based resource scheduling algorithm using Potentially All PaiR-wIse ranKings of all possible Alternatives (PAPRIKA).