Yuval Elovici

Cloud computing has revolutionized data processing and management, offering flexible and scalable infrastructure for the distribution of content, computing power, and services across the globe. Dynamic, flexible, and transparent reallocation of resources increases cloud-based services' use and effectiveness. As rates of cloud adoption soar, privacy regulations, and geopolitical security introduce new challenges, which include the assessment, validation, and enforcement of data geolocation. However, currently, there is no standardized benchmark for this research domain. Therefore, this paper presents a novel dataset of measurements specifically designed to evaluate cloud data geolocation algorithms. In addition to its beneficial role in evaluating data geolocation algorithms, our dataset can be used for other data geolocation subtopics.