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This is the first of two companion papers that investigate the operations of distributed satellite systems. This first article presents a survey of conventional methods of operations of spacecraft constellations, investigates its scalability for growing number of spacecraft, and identifies operational paradigm shifts. The second article focuses on the classification of distributed satellite systems and evaluates commercial tools for automated spacecraft operations. The trend of using distributed space systems such as satellite constellation instead of monolithic systems has been growing in the last decade. Recently, a variety of large satellite constellations were announced and the production of some has started. Several of these announced constellations feature more than 1000 satellites. While the "mass production" of satellites is feasible and has already started, there are no effective solutions existing for the "mass operations" of satellites. In some instances, conventional spacecraft operations involve manual control by skilled human operators, following at least a 4-eyes principle. Even when operators batch multiple telecommands together, the scheduling process is still challenging for growing spacecraft numbers. This approach is not (linearly) scalable to large satellite constellations: new operational methods need to be established and the automation level of the constellation increased. To motivate the research activities in this framework and pave the way for automated management of large distributed satellite systems, this paper gives an overview of some conventional methods of spacecraft operations. From this description, the weakness areas in terms of scalability are deduced, identifying potential bottlenecks for the operations of such systems. Following, based on three use case studies, the operational paradigm shifts related to the operation of large distributed satellite systems are identified. [ABSTRACT FROM AUTHOR]

Recent developments have seen a trend towards larger constellations of spacecraft, with some proposals featuring constellations of more than 10.000 satellites. While similar concepts for large constellations already existed in the past, traditional satellite deployments hardly ever feature groups of more than 100 satellites. This trend towards considerably larger satellite numbers originates from non-traditional design and operations of spacecraft by non-traditional space companies. The evolution in the space sector, precipitated by new players, is often referred to as "Space 4.0" or "New Space". It necessitates a rethinking of the way satellites and satellite constellations are planned, designed, and operated. New operational paradigms are needed to enable automatic, optimal task definition, and scheduling in a holistic approach. This is the second of two companion papers that investigate the operations of distributed satellite systems. This second article investigates the classification of distributed satellite systems and evaluates commercial tools for automated spacecraft operations, whereas the first article performed a survey of conventional and "new space"operations of spacecraft constellations. Classification metrics for constellations are derived and evaluated with respect to their informative value concerning the operation, the automation, and the scalability of the constellation. The proposed classification system is applied to the Dove and RapidEye constellation and allows for a comparison between the presented automation approaches. Commercial tools for automated spacecraft operations are evaluated for several mission task elements, such as orbit control, orbit maintenance, and collision avoidance. Subsequently, the trends, benefits, and standardization needs for operational automation are identified. [ABSTRACT FROM AUTHOR]