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Ship Agents Faster
Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
RangeSim is a collection of classes for simulating distributed protocols for range search on P2P (peer-to-peer) network environments. It is based upon the PeerSim simulator, which offers easy configuration, extendability and high performance.
Blubber system is an Eclipse RCP application for distributed systems modeling. Designed for university researches and inlcudes: task graph editor; graph transformation tools; graph modelling on distributed system; real-time modelling on GerdaFramework.
Clay3D is a complete, extensible, and feature rich suite of network agnostic, scalable applications for the production of computer generated imagery and visual effects. Please see homepage for more information.
A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure
Native application identity and user-based security for your Azure cloud
Gain 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.
GAP (Grid Agents Platform) Toolkit for Modeling and Simulation of Mobile Agents in Grid Environments. GAP is an abstraction over GridSim, a Grid Simulation Toolkit for Resource Modelling and Application Scheduling for Parallel and Distributed Computing.
The Integrative Biology VRE is a web-based graphical user interface and repository that provides an environment where biological simulation experiments can be constructed without the need for any knowledge of unix, cluster computing, or shell scripting.