Decreasing Impact of SLA Violations: A Proactive Resource Allocation Approach for Cloud Computing Environments

Abstract—User satisfaction as a significant antecedent to user loyalty has been highlighted by many researchers in market based literatures. SLA violation as an important factor can decrease users ’ satisfaction level. The amount of this decrease depends on user’s characteristics. Some of these characteristics are related to QoS requirements and announced to service provider through SLAs. But some of them are unknown for service provider and selfish users are not interested to reveal them truly. Most the works in literature ignore considering such characteristics and treat users just based on SLA parameters. So, two users with different characteristics but similar SLAs have equal importance for the service provider. In this paper, we use two user’s hidden characteristics, named willingness to pay for service and willingness to pay for certainty, to present a new proactive resource allocation approach with aim of decreasing impact of SLA violations. New methods based on learning automaton for estimation of these characteristics are provided as well. To validate our approach we conducted some numerical simulations in critical situations. The results confirm that our approach has ability to improve users ’ satisfaction level that cause to gain in profitability. Index Terms—Users satisfaction level, cloud service, resource allocation, willingness to pay, learning automaton Ç