Search Results for "cloud computing in the matlab"
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Showing 48 open source projects for "cloud computing in the matlab"
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Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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openQRM - Cloud Computing Platform
Get latest Edition here: http://www.openqrm-enterprise.com.
openQRM is a web-based open source datacenter management and hybrid cloud computing platform that integrates flexibly with existing components in enterprise data centers. Releases available at https://github.com/openQRM/openqrm-community. Please visit http://www.openqrm-enterprise.com for latest 5.3 free Community Release. Includes important security updates, bugfixes and enhancements especially for KVM and Cloud plugin. -
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Alluxio
Open Source Data Orchestration for the Cloud
Alluxio is the world’s first open source data orchestration technology for analytics and AI for the cloud. It bridges the gap between computation frameworks and storage systems, bringing data from the storage tier closer to the data driven applications. This enables applications to connect to numerous storage systems through a common interface. It makes data local, more accessible and as elastic as compute. -
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Ubicloud
Open source alternative to AWS. Elastic compute, block storage
Ubicloud is an open-source cloud platform that aims to provide a decentralized alternative to traditional hyperscale cloud providers. It focuses on building a federated network of providers where individuals and organizations can contribute infrastructure and offer compute, storage, and networking resources. Ubicloud emphasizes transparency and openness: APIs, orchestration, and management layers are open, enabling users to audit and customize their infrastructure instead of relying on... -
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CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services. The bare essentials for efficient fault-tolerant processing on a cloud!
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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Kraken
P2P Docker registry capable of distributing TBs of data in seconds
Kraken is a P2P-powered Docker registry that focuses on scalability and availability. It is designed for Docker image management, replication, and distribution in a hybrid cloud environment. With pluggable backend support, Kraken can easily integrate into existing Docker registry setups as the distribution layer. Kraken has been in production at Uber since early 2018. In our busiest cluster, Kraken distributes more than 1 million blobs per day, including 100k 1G+ blobs. At its peak... -
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HPCC Systems
End-to-end big data in a massively scalable supercomputing platform.
HPCC Systems® (www.hpccsystems.com) from LexisNexis® Risk Solutions is a proven, open source solution for Big Data insights that can be implemented by businesses of all sizes. With HPCC Systems, developers can design applications with Big Data at their core, enabling businesses to better analyze and understand data at scale, improving business time to results and decisions. HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single, complete... -
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pycos
Python framework for concurrent, asynchronous, distributed tasks
Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing. -
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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Distributed MultiThreaded Checkpointing
Checkpoint/Restart functionality for Linux processes
DMTCP (Distributed MultiThreaded Checkpointing) transparently checkpoints a single-host or distributed computation in user-space -- with no modifications to user code or to the O/S. It works on most Linux applications, including Python, Matlab, R, GUI desktops, MPI, etc. It is robust and widely used (on Sourceforge since 2007). For the newest releases of DMTCP, please go to: https://github.com/dmtcp/dmtcp Among the applications supported by DMTCP are MPI (various implementations), OpenMP, MATLAB, Python, Perl, R, and many programming languages and shell scripting languages. ... -
Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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Unified Sessions Manager
Pioneering Private and Public Cloud Management since 2008
The UnifiedSessionsManager supports the integrated management of user sessions within Private-Clouds, comprising heterogeneous IT landscapes of various physical and virtual machines, hypervisor management, and virtual user sessions with remote desktops. Extracted documents see https://sourceforge.net/projects/ctys-doc. -
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A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
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Elastic Management of Tasks in Virtualized Environments is in charge of managing virtual machines created in Xen by creating full customized virtual machines and allowing executing tasks inside this.
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hybridstack
Portable version of OpenStack cloud management software
Portable version (VM images) of OpenStack cloud management software. -
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Glass Library
Glass is a library for distributed computing.
Glass is a library for distributed computing. It's written in C++ and widely portable. -
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Soft-DeCO
Software-Defined Cloud Orchestration
Software-Defined Cloud Orchestration: An Integrated Architecture and Deployment Process This is an expansion of the project xSDN, an Expressive Simulator for Dynamic Network Flows. Please cite the below papers, if you used this project or referred to this in your work. Kathiravelu, Pradeeban; Veiga, Luis, "An Expressive Simulator for Dynamic Network Flows," Cloud Engineering (IC2E), 2015 IEEE International Conference on , vol., no., pp.311,316, 9-13 March 2015 doi: 10.1109/IC2E.2015.43 -
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A community repository to develop Commodity Grid (CoG) Software for the access of Grids, through high level interfaces. The main repository is maintained at http://www.cogkit.org
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MonPaaS
MonPaaS is a monitoring service for OpenStack based on Nagios
MonPaaS is a monitoring service for OpenStack based on Nagios. MonPaaS enables a distributed monitoring platform for both cloud provider and cloud consumers. -
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RainforestCluster
Dynamically manage Amazon EC2 clusters
RainforestCluster is an Amazon EC2 python program that manages and load-balances dynamic clusters to allow for maximum workflow flexibility and speed at minimal cost. It enables one to quickly and cheaply create dynamic compute clusters in the cloud, which can then run computational pipelines generically. It is also able to optimize the use of spot instances - idle computers in Amazon's cloud that are available at drastically reduced cost (5x-10x cheaper) - but can be terminated at any... -
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ThunderstormDistributor
Distribute jobs to compute nodes on dynamic clusters
ThunderstormDistributor is a queuing system that distributes jobs and computational workload across dynamic clusters in the cloud. It manages the assignment of jobs to maximize CPU and memory usage and prevent oversubscription of compute nodes. It also performs advanced statistics collection on individual compute nodes and jobs to graph the distribution of disk, network, CPU, and memory usage over time, which facilitates the advanced optimization and tuning of computational workflows. -
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Gpf4Med
Graph Processing Framework for Medical Information
Gpf4Med is a graph processing framework for clinical data, which can leverage from previously existing medical database and Cloud computing facilities to address large-scale studies. -
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An easy-to-use simulator for decentralized distributed scheduling in Clusters, Grids, and Cloud ecosystem MaGate 2.0 is now available from github! https://github.com/huangye177/magate
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VENUS-C
VENUS-C provides new cloud solutions for small research groups.
VENUS-C is a project funded under the European Commission’s 7th Framework Programme drawing its strength from a joint co-operation between computing service providers and scientific user communities to develop, test and deploy a large, Cloud computing infrastructure for science and SMEs in Europe. -
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COMP Superscalar
COMP superscalar exploits the inherent parallelism of applications.
COMP Superscalar offers a straightforward programming model that particularly targets Java applications. The simplicity of this programming model keeps the Cloud transparent to the user, who is able to program their applications in a Cloud-unaware fashion. The user is only required to select the tasks to be run on the Cloud, while the application can remain completely free of Cloud-related calls. -
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CloudToolbox
Web-based manager for user dynamic instantiated cloud images
The CloudToolbox web application provides a simple system to manage and control users dynamic instantiation of VMs on a generic cloud. The systems handles final VM user management (on behalf of the cloud provider), users quota, machines templates, gathering of statistings and automatic shutdown of the VMs when not in use. Using the CloudToolbox web application, an user can request a VM on the cloud, according to a given template. The administrator will then create the machine on the...
