With the advent of the Industrial Internet of Things (IIoT), the industrial sector has witnessed substantial changes over the last couple of years. These changes when integrated with the conventional systems not only help to upscale their productions but also help them to achieve their business goals. The ongoing expansion across different domains such as manufacturing, energy systems, transportation, automated vehicles, etc is a perfect example of actively applying this innovative technology to the industrial sector. The major precursors behind this advancement of IIoT can be attributed to more product variability, enhanced quality of products, growing global competition, decreased product cost, and shorter manufacturing time. To cater to the above-mentioned challenges, IIoT leverages the concept of Industrial Cyber-Physical Systems (I-CPS); which enable interactions amongst the machines, data, and humans.Sensing-as-a-Service (S2aaS) is considered as key component of the I-CPS and is assumed to resides somewhere between the cyber and physical worlds. It also helps in integrating the IIoT data with the marketplace analysing and trading on the gathered data. Nonetheless, the sensors are not necessarily the physical sensors interacting with the environment, but they can be virtual too. In S2aaS, the virtual sensors can be any entity that produces data such as social media accounts, quantified self apps, weather APIs, etc. The data generated from these sensors needs real-time analysis to derive value for its marketplace; and Edge/Fog/Cloud Computing has a significant role to play in the context. This computing paradigm can offer promising results for CPS applications that are characterised by geo-distribution, latency-sensitivity and high-resilience.