The Fermi-LAT long-term Transient (FLT) monitoring aim is the routine search of gamma-ray
sources on monthly time intervals of Fermi-LAT data.
The FLT analysis consists of two steps: first the monthly data sets were analyzed using a wavelet-based source detection algorithm that provided the candidate new transient sources; finally these transient candidates were analyzed using the standard Fermi-LAT maximum likelihood analysis method. Only sources with a statistical significance above 4sigma in at least one monthly bin were listed in a catalog.
The strategy adopted to implement the maximum likelihood analysis pipeline has been based on cloud solutions adopting the Dynamic On Demand Analysis Service (DODAS) service as
technology enabler. DODAS represents a solution to transparently exploit cloud computing with
almost zero effort for a user community. This contribute will detail the technical implementation
providing the point of view of the user community