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Recently, Cloud Computing has become an emerging research topic in response to the shift from product oriented economy to service-oriented economy and the move from focusing on software/system development to addressing business-IT alignment. Technically speaking, Cloud Computing enables to build Cloud Service-Based Application (CSBA) which cater for the tailoring of services to specific business needs using a mixture of SaaS, PaaS and IaaS solutions-possibly from various providers. In other words, in the context of CSBAs, cloud services are rented by clients from providers instead of owning the services. Due ti this specific nature, SLA (Service Level Agreement) has become a very important and up-to-date issues in CSBAs. Therefore SLA turns to be critical for both cloud service clients and providers and needs constant monitoring for various reasons mostly detecting if any violation happens but also preventing the violation in efficient way. As in CSBAs a number of providers are involved, it is a challenge to detect and resist violations of multiple SLAs that engage different providers form different locations. To deal with such a problem, this paper introduces a framework called PAEAN4CLOUD. The framework comprises components for monitoring, detecting, and configuring SLAs. An algorithm is proposed for automatic detection of SLA violations. The configuration component underpins assembling CSBAs automatically at runtime. The components help in preventing SLA violations and optimizing application performance as well.