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D ISTRIBUTED and parallel systems are facing a rapid technological evolution thanks to the wide proliferation of Internet accessibility, leading to the advent of several novel solutions, such as cloud computing, fog computing, edge computing, and several others. Such systems are characterized by an extremely high number of interconnected nodes with a vast amount of generated data to be exchanged along many types of networks, from wired to wireless. Due to their pervasiveness within our daily activities and the promise of radically changing our way of life, work, and entertainment, such systems are much more than a communication infrastructure and demand a deep integration of computational intelligence within the system. To achieve this, it is of critical importance to investigate, implement, and apply advanced means to create nodes with intelligent processing capabilities at all levels of these systems, and not just within the core element. Moreover, such systems are considered essential and need to satisfy a number of nonfunctional requirements, stemming from performance, reliability, or availability to the security and trustworthiness of the managed data. Traditional solutions to achieving these requirements show diminished effectiveness in modern contexts due to their extremely large scale and the mandatory tradeoff between conflicting demands and constraints, such as resource and energy usage. The heterogeneity of workload and quality of service requirements also makes resource management much harder. For this reason, novel and intelligent solutions are required in which software computing is skillfully applied in order to achieve such goals. The articles in this special issue aim at collecting contributions focused on the application of soft computing, including the areas of fuzzy logic, neural networks, evolutionary computing, rough sets, and other similar techniques, in novel distributed and/or parallel systems, where cloud computing is one of the widely known examples, in order to bring intelligence to all architectural layers for data processing, routing, etc. The first article entitled “ACO-Based Dynamic Decision Making for Connected Vehicles in IoT System” authored by Bui et al. proposes a novel approach for enabling dynamic decision making into a connected vehicular system by managing

Guest Editorial: Soft Computing Applications for Novel and Upcoming Distributed and Parallel Systems From Cloud Computing and Beyond