@article{(Open Science Index):https://publications.waset.org/pdf/10001724, title = {Scalable Cloud-Based LEO Satellite Constellation Simulator}, author = {Karim Sobh and Khaled El-Ayat and Fady Morcos and Amr El-Kadi}, country = {}, institution = {}, abstract = {Distributed applications deployed on LEO satellites and ground stations require substantial communication between different members in a constellation to overcome the earth coverage barriers imposed by GEOs. Applications running on LEO constellations suffer the earth line-of-sight blockage effect. They need adequate lab testing before launching to space. We propose a scalable cloud-based network simulation framework to simulate problems created by the earth line-of-sight blockage. The framework utilized cloud IaaS virtual machines to simulate LEO satellites and ground stations distributed software. A factorial ANOVA statistical analysis is conducted to measure simulator overhead on overall communication performance. The results showed a very low simulator communication overhead. Consequently, the simulation framework is proposed as a candidate for testing LEO constellations with distributed software in the lab before space launch.}, journal = {International Journal of Computer and Information Engineering}, volume = {9}, number = {6}, year = {2015}, pages = {1460 - 1471}, ee = {https://publications.waset.org/pdf/10001724}, url = {https://publications.waset.org/vol/102}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 102, 2015}, }