Cloud computing has lately arisen as a significant service to manage applications efficiently over the Internet. As complexity, strength and heterogeneity of cloud environment is rising promptly, it makes cloud systems diffident and insecure. In order to conserve the privacy of consumers, data are habitually accumulated in cloud in an encrypted manner. However, encrypted data introduce new challenges for cloud data deduplication, which becomes crucial for big data storage and processing in cloud.  A scheme to deduplicate encrypted data stored in cloud based on ownership challenge and proxy re-encryption had been proposed in Phase I work. It integrates cloud data deduplication with access control. However, SLAs were not considered to improve the QoS. Nowadays various cloud providers offer pay per use cloud services that requires Quality of Service (QoS) management to efficiently monitor and measure the delivered services through Internet of Things (IoT) and thus needs to follow Service Level Agreements (SLAs). To overcome these problems, cloud systems require self-management of services. A SLA-aware autonomic resource management technique called STAR which mainly focuses on reducing SLA violation rate for the efficient delivery of cloud services. The performance of the proposed technique has been evaluated through cloud environment. The tentative results demonstrate that STAR is proficient in dropping SLA violation rate and in enhancing other QoS parameters which upshot the effectual cloud service distribution.