ABSTRACT Information Lifecycle Governance (ILG) is a cross functional business initiative intended to align the cost of information with its value to the enterprise, increase transparency and control and reduce the risk of legal and regulatory obligations for data. It is this dynamic workload system that enables the users to analyze, formalize and optimize for a cloud environment such for being able to provide a fully managed “Archive as a Service” in private and public clouds. In this context of the Master Thesis a research on the possibilities on how to improve and optimize the information lifecycle governance workloads especially in the context of cloud environments. It looks for a formal definition of the individual ILG workflows using Process management concepts with a Process Engine can be used. The main goal is to allow the definition of generic ILG tasks in a declarative way and to guarantee transactional integrity and check-point restarting capabilities. An end user subscribes to SaaS archive service in the cloud has to move data off-premise and delete data management processes to the service provider without comprising data security and privacy. The first scenario is to evaluate on various workload management solution with document centric workflows. The second scenario to investigate describes the use case where a recurring batch load system periodically imports valuable business data in to the SmartCloud Archive. The thesis also proposes the architecture for the required uses to create the batch load and disposal sweep tasks in an enterprise perspective by eliminating administrative client for SmartCloud Content Management System. The architecture proposed moves the data off the premise into a cloud environment and thereafter managed in an automated way. The management of the data had been made to flexible, easy, reliable and efficient.

Keywords: data archive, SaaS, workload management, batch load, document centric workflows