… Therefore, we present an innovative reinforcement learning (RL) based resource management
… RL based resource management approaches for hybrid workloads in distributed big data …

… of resource integration (resource optimization and resource bricolage) in the relationship
between two forms of BDAC [big data analytics (BDA) management … resources management. …

… resource information big data platform is the key to the integration and sharing of sports
resources. … distinct levels: teaching resource management, teaching operation management, and …

… used resource manager of Spark [22], but it could also be easily integrated in external
resource managers, like Mesos and YARN. The goal is to allow for (i) redistributing resources to …

… of fit between different organizational resources associated with big data use needs to be …
the use of big data analytics. This research-inprogress study draws on the theory of resource-…

… Total Resource Management (TRM) in industry 3.5 relates to the evaluation and … The
rubberwood processing industry operates using massive production data. Such big data emerge …

… a management problem that needs to be wisely tackled. This book focuses on the resource
management … The core issue of this problem is how to allocate the resources available in the …

… analytics is an innovative IT capability and a strategic resource that can render competitive
… data quality management and its impact on data usage and adoption intention of big data …

… big data model for IoMT systems that oversees optimal network resource management and
optimises health data … SDN architecture lowers network management costs and lowers the …

… remain consistent with resources and capabilities; they are subjective views of the respondents,
not summarised from the objective data after the implementation of big data. Regarding …