Συγκριτική ανάλυση εργαλείων για μεγάλα σύνολα δεδομένων τροχιάς
Comparative analysis of tools for big trajectory datasets
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Keywords
Big data ; Μεγάλα δεδομένα ; Δεδομένα τροχιάς ; Trajectory dataAbstract
With the accelerating use of GPS devices embedded in vehicles and devices such as cars, ships, airplanes, and mobile phones, ever-increasing amounts of trajectory data are available that record the movements of vehicles and people, which is useful in many application areas, such as transportation, traffic management (air and ground) and location-based services. As a result, many trajectory data management and analysis systems have been proposed and emerged.
Nonetheless, many of the existing algorithms focus on optimizing the storage and processing techniques of big data on a single machine. However, due to the huge increase in data volume, the number of trajectories exceeds the storage and processing capacity of a single machine and requires large-scale trajectory analysis in distributed environments.
Motivated by the need to find suitable systems, both single and distributed, we proceed to list and compare, through tables, some modern and recent systems for processing and analyzing large trajectory data. Special emphasis is placed on techniques such as indexing, partitioning, and query processing. In this way, this paper provides a useful and concentrated guide and a comprehensive analysis of already existing systems present in the literature.