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Cloud computing architecture refers to the components and subcomponents required for cloud computing.These components typically consist of a front end platform (fat client, thin client, mobile), back end platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet, Intercloud).
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
Java, Python, PHP, C++, SQL, Alloy, NuSMV, yUML, USE Java Command-line tools, Embeddable in web pages, Eclipse: Input or export can be by diagram or Umple textual form, separation of concerns (aspects, traits, mixins), embeds action code in Java and other languages, written in itself, documentation generation, plugin architecture for generators
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HPCC (High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform developed by LexisNexis Risk Solutions. The HPCC platform incorporates a software architecture implemented on commodity computing clusters to provide high-performance, data-parallel processing ...
Serverless architecture is a cloud computing paradigm that is often misunderstood as being server-free. It essentially shifts server management responsibilities from developers to cloud service providers. This allows businesses to run their backend code on cloud infrastructure, eliminating the need for physical server management.
It can run Python, Java, PHP, and Go applications on EC2, Google Compute Engine, Azure, and other cloud vendors. The Web2py web framework offers migration between SQL Databases and Google App Engine, however, it doesn't support several App Engine-specific features such as transactions and namespaces.
Dew computing [1] is an information technology paradigm that combines the core concept of cloud computing with the capabilities of end devices (personal computers, mobile phones, etc.). [2] It is used to enhance the experience for the end user in comparison to only using cloud computing . [ 3 ]