pXCube is a kind of XML data cube model based on path calculation. Join operations are avoided in this model, but the query efficiency of fact cell is become a new bottleneck. This paper focuses on parallel tec
Cube Device Connection Platform with the built-in feature allows enterprises quickly integrate devices supported by public cloud suites such as AWS IoT Core and Azure IoT Hub through simple configuration. Manage all devices through the Cube Private Cloud to further expand the enterprise device ecosystem...
Cloud computing providers Cloud-agnostic enables you to choose the desired infrastructure from leading public cloud service providers, freeing you from vendor lock-in. Vendor lock-in makes it difficult to switch to another vendor in the face of change. Core technologies can be uncontrollable due to...
HUAWEI CLOUD works well with ISV partners, and if and when problems are encountered in the process, they are resolved swiftly, and HUAWEI CLOUD ModelArts semi-automatic labeling worked well with the DataCube prediction model. HUAWEI CLOUD was able to complete the online testing of the new versio...
When using a model you didn't author yourself, you need to do substantial manual work to enable the model to run on a new system. This slows down R&D and hinders the user experience for AI platforms. MLCube offers a standard mechanism for packaging models in a standard way to avoid this...
Specifically, we focus on the increased emphasis on cloud security, zero trust, endpoint, identity access management, the role of analytics, ransomware remediation approaches, and related topics. In addition, our research has covered the “shared responsibility” model popularized by the hyperscale ...
Lu [35] proposes a distributed query strategy for cubes in cloud computing environments. Instead of adopting a client–server mode with a single server, queries are spread amongst several distributed servers. The responses of these servers are combined before returning to the client. Zhao and Ye ...
Model deployment These workloads support deployment of AI models for execution into private, public or hybrid multi-cloud platforms, as well as into containerized and virtualized environments. Model resource provisioning These workloads support scaling up or down the provisioning of CPU, memory, storag...
Explore related subjects Discover the latest articles and news from researchers in related subjects, suggested using machine learning. Big Data Cloud Computing Computational Intelligence Data Mining Enterprise Architecture Blockchain Data availability No datasets were generated or analysed during the ...
drag) { dX *= AMORTIZATION, dY*=AMORTIZATION; THETA+=dX, PHI+=dY; } //set model matrix to I4 mo_matrix[0] = 1, mo_matrix[1] = 0, mo_matrix[2] = 0, mo_matrix[3] = 0, mo_matrix[4] = 0, mo_matrix[5] = 1, mo_matrix[6] = 0, mo_matrix[7] = 0, mo_matrix[8...