Publisher's Synopsis
Cloud computing gives enormous power and storage capacity, which empower clients to convey computation and data-intensive applications without framework venture. Actually, cloud computing is viewed as a clever blend of a progression of advancements, establishing a novel business model by offering Information Technology (IT) administrations and utilizing economies of scale. Members in the business chain of distributed computing can profit by this novel model. Moreover, Cloud clients can spare immense capital speculation of IT framework, and focus all alone centre business. In this manner, many organizations or associations have been moved or incorporating their business with cloud. However, various latent customers are still reluctant to exploit cloud because of security and protection concerns. In the cloud, Search Engine (SE) is used to securely retrieve the data. Search Engine is a software framework that is intended to search for data on the World Wide Web which helps clients to discover quickly important data. Even though, information retrieval in the cloud is a challenging task since search engines are an effective instrument to search the limitless gathering of data. Similarly, another one most challenging problems in parallel computing are scheduling. A good scheduling algorithm must decrease the execution time and cost of workflow application alongside the Quality of Services (QoS) necessities of the client. This thesis discusses the key concepts behind scheduling, search engine and privacy-preserving to address issues of security and scheduling in cloud computing. Of the four concepts, scheduling method has had the greatest progress and is a keystone for the realization of cloud computing. A search engine is a recent approach that aims to retrieve the relevant data from anywhere in a cloud environment which serve a large number of customers.
