Search Results for "java grid"
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Showing 7 open source projects for "java grid"
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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Nodezilla is a secured, distributed, and fault tolerant routing system (or grid network) that supports distributed services such as file sharing, chat, efficient video multicast streaming, and secured file storage.
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Cube Platform is a decentralized grid computing system that uses P2P Pastry protocol for communication between nodes. It's a big data storage written in Java.
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OptorSim is a Grid simulator designed to test dynamic replication strategies used in optimising data location within a Grid. Each simulated site contains several storage or computing elements. Simulated jobs run and file accesses may trigger replication.
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Poogle is a Peer-to-Peer Search Engine developed at the Grid Computing Lab, University of Calabria, Italy. It can be used by groups of people for finding and sharing files on network-connected computers.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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P-Grid is a truly decentralized structured P2P system for distributed information management beyond mere file-sharing which does not require central coordination or knowledge and it is based purely on randomized algorithms and local interactions.
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Zeus Grid is a Grid Computing environment usefull to run systems in heterogenous machines at same time. In this first step, it will only compile, run and collect application results and file storage.
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