{'fraction_non_alphanumeric': 0.026570048309178744, 'fraction_numerical': 0.0, 'mean_word_length': 4.624434389140271, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA

Modelling & Simulation (M&S) is broadly used in real scenarios where making physical modifications could 
 
be highly expensive. With the so-called Simulation Software-as-a-Service (SimSaaS), researchers could take 
 
advantage of the huge amount of resource that cloud computing provides. Even so, studying and analysing a 
 
problem through simulation may need several simulation tools, hence raising interoperability issues. Having 
 
this in mind, IEEE developed a standard for interoperability among simulators named High Level Architecture 
 
(HLA). Moreover, the multi-agent system approach has become recognised as a convenient approach for 
 
modelling and simulating complex systems. Despite all the recent works and acceptance of these technologies, 
 
there is still a great lack of work regarding synergies among them. This paper shows by means of a literature 
 
review this lack of work or, in other words, the sparse Cloud SimSaaS. The literature review and the resulting 
 
taxonomy are the main contributions of this paper, as they provide a research agenda illustrating future research 
 
opportunities and trends.