Planeamento de estratégias de salvaguarda e reposição de dados/informação baseado em algoritmo de optimização de requisitos multidimensionais

Abstract

Recent studies published in peer-reviewed journals have shown that 50% of all companies that have suffered severe injuries and not recovered within 10 days, never recovered financially, and 93% of companies without a plan for Business Continuity and Disaster Recovery (Disaster Recovery / Business Continuity), are out of business within five years after a severe disaster (loss of relevant data). It is therefore natural that Business Continuity is an increasingly issue on the agenda of most decision makers of organizations, regardless of their nature (vs. private. public), size and activity. The widespread concern for the occurrence of unforeseen situations such as natural disasters or some kind of hacking, or other more mundane incidents but with a probability of occurrence relatively higher, such as equipment failure or fire, makes continuity business processes, regardless of the type of incident is a major concern. This comes as a growing concern objective not only technological but desirable and especially business. Organizations (now virtually all) focused on information, the key to survival in a situation classified as "disaster" is both preventive (to protect the information) and reactive (able to retrieve it in time). As a corollary, we then have a dependency on a convergence of actions, including: • Know the main business of the organization and the main risk factors at the level of business that affect the organization as well as the impact on revenue • Understand business processes have to be protect and what kind of disasters / threats may be subject • Protecting and their degree of exposure to disaster / threat • Validation of the state of preparedness of the organization to respond to a situation of loss of information and thus maintain the business continuity The better the quality level of these actions, the greater the probability of success in business continuity organizations. The aim of this work is to create a framework that supports organizations with superior facilities of this nature, providing significant efficiencies in efforts to safeguard and replacement of data in particular, in the management of temporal windows, the use of technological solutions (optimal use of resources, tasks and operations requirements multidimensional (Backups robots, backup and restore information, for example) and, ultimately, alleviating the need for these are endowed with human resources specialized in the subject and all surrounding financial need. The Framework will be supported by the best algorithm for each scenario, according to the Job-Shop model in which a set of scenarios is subjected to a staggering through a component (scheduler) set to test the algorithm with the aim to simplify and streamline procedures rehabilitation and safeguarding, through a management requirements, resources, tasks and operations in order to: • Estimate time for the Protection and Recovery • Manage plans for the Protection and Replacement • Develop reporting procedures Using this framework described and following the objectives listed is intended to demonstrate: • The feasibility of the resource • Automatic Scaling • The effectiveness and efficiency of a limited set of algorithmic approaches to the objective scenario • Plans for safeguarding and properly optimized replacement It is described in summary form the tangible results: • Cost reduction in recurrent appeal to specialists in Business Continuity and Disaster Recovery (BC / RD) • Better management and safeguard global window replacement • Allow the coach (safeguard and replacement) to have plans available to safeguard and replacement by an optimization requirements, resources, tasks and operations • Ability to run simulations of real systems and measuring the impact of recent changes in information systems or support for the preservation and replacement, as well as early identification of future constraints • Ordering of the best performances successfully in finding solutions through the following income statement:

Date of Award	19 Feb 2014
Original language	Portuguese
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Tito Lívio dos Santos Silva (Supervisor)