Saeed Zareian's research while affiliated with York University and other places

... The response time, the overall number of SLA violations, and the amount of power used by the resources to fulfil user requests, according to Zareian et al. [35], are used to assess the performance management of cloud frameworks. Gupta et al. [36] state that it is a common practice to employ particular performance metrics and characteristics as the goal function to reduce the detrimental impact on QoS. ...

... There is a growing adoption of the microservice architecture in the software industry [25], [22], [6], [9]. Microservices are small, independent applications with separate functions and responsibilities [37], [5], [53]. ...

... Growing data size has caused some researchers to look at system solutions and design their own platforms specific to analyzing transportation data and drawing insights about traffic patterns [25]- [27] . Studies presenting such platforms highlight the important layers of architecture for a reliable and reproducible data analytical workflow. ...

... Selecting a NoSQL system in this manner can be more appropriate for certain types of user interaction and provide better performance and efficiency than a competitor's systems. key-value, wide column, graph, and document databases are all examples of NoSQL databases [12,15]. Key-value stores are collections of registers identifiable by a unique key [3]. ...

... HSPs use several servers by spreading processes and adding additional devices, while VSPs scale by updating the server's hardware. Waste management (Bilal et al., 2016b), profitability performance measurement (Bilal et al., 2019), smart road construction, and others (Sharif et al., 2017) typically employ HSPs, while VSPs have been mostly used in construction (Curtis, 2020) and transportation (Shtern et al., 2014). Furthermore, deep learning-based flood detection and damage assessment (Munawar et al., 2021), project delay risk prediction (Gondia et al., 2020), construction site safety (Tixier et al., 2016), construction site monitoring (Rahimian et al., 2020), and neural network models to predict concrete qualities (Maqsoom et al., 2021) are a few instances of AI and ML in construction. ...

... IoT sensors notify the closest traffic control facility when a traffic jam occurs. Some developed models to aid this intelligent transportation system include, for instance, IoT information and communications technology integration in transportation framework design [44], secure smart transportation, privacy-protecting system, and drivers' location tracking [45], traffic control and crowd management [46], machine learning application for transportation effectiveness [47], vehicular technology topology implementation [48], Traffic pattern prediction [49,50], cruise control, and fog centered architectures [51]. ...