The United States Space Surveillance Network (SSN) is a critical part of the United States Strategic Command's (USSTRATCOM) mission. SSN detects, tracks, catalogues and identifies artificial objects orbiting the Earth, including active and inactive satellites, spent rocket bodies, or fragmentation debris. Modernization of the SSN faces the challenge of seamlessly upgrading SSN with modern COTS hardware without software porting. Further, the accuracy of tracking targets has to be improved by collaborating geographically spread sensors. In addition, tasks have to be dynamically scheduled to respond to unexpected space events. To address these issues, IAI has been awarded a contract entitled, “Long-term Sustainable Net-centric Framework for Space Surveillance Networks (LOSSLESS).” LOSSLESS can run both legacy and new software on top of modern commercial-off-the-shelf (COTS) hardware by leveraging state-of-the-art Virtual Machine (VM) technologies. A distributed net-centric data fusion algorithm will be used to significantly improve the tracking accuracy of current SSN. LOSSLESS can also respond to unexpected dynamic space events based on an innovative dynamic tasking algorithm. The proposed LOSSLESS framework can meet the future requirement of space target tracking for the SSN. Possible commercial applications include upgrading legacy systems, especially for radar or electro-optical (EO) sensor sites.