Rethinking Cloud Computing For Big Data , Machine Learning , and IoT Workloads
نویسنده
چکیده
Emerging applications such as large-scale distributed data processing, machine learning, and Internet of Things, are fueled by the computational resources provided by large scale distributed computing platforms. Cloud computing has emerged as a popular platform to run these emerging workloads. While early cloud platforms were used to mainly run web workloads, today it has become commonplace to use cloud platforms to instantiate large clusters comprising of hundreds of servers to process large amounts of data for big data, machine learning, and IoT applications. As a result, today’s cloud platforms run ever more complex applications with diverse requirements, resulting in new challenges in efficient use of cloud resources—both from an application and system design perspective.
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