We create the future of distributed computing platform.
With 0x Platform's highly-reliable and elastic computing, storage and networking systems, you can easily distributed applications' computing, storage and networking loads to nearby fog nodes.
This video is an example of performing MapReduce for big data analytics by using 0xPlatform's dispersed computing APIs. More applications are coming!
0xPlatform's Next-Generation Distributed Computing, Storage and Networking Services
Dispersed Computing Framework and Programming
The Dispersed Computing program seeks scalable, robust decision systems that enable secure,
collective tasking of computing assets in a mission-aware fashion by users with competing
demands, and across large numbers of heterogeneous computing platforms.
Highly-reliable Elastic Fog Storage Service
0xPlatform's distributed storage system aims to provide an elastic storage layer that extends clients’ storage space by attaching remote storage resources, such as edge devices, with local transparency, thus, providing a seamless and practical extension of the client’s storage with minimum I/O performance degradation.
LISP-based network serviceLISP-based network service
Locator/Identifier Separation Protocol is a networking protocol to solve the scalability problem of IPv4 based Internet routing system. Our LISP-based network service has defined four use case scenarios to show the benefits of LISP: ingress/egress traffic engineering, virtual machine live migration, vertical handover, and data center recovery.
Fog/Edge Intelligence Layer for Internet of Things
Perform the computing-intensive part of AI applications on fog instead of running them directly on IoT devices. Fog intelligence layer supports real-time AI applications with more interactive, responsive and context-oriented features.
Intelligent Network Configuration in SDN
To overcome limitations of current DCN (Data Center Network) technologies, 0xPlatform provides a
dynamic traffic engineering system for data center network based on Software Defined Networking
(SDN) technologies. The proposed system consists of three major procedures: optimal topology
composition, traffic load balancing, and failure recovery.
AI-assisted Live Stream Highlight
0xPlatform's highlight extraction system automatically collects only important scenes from live streaming services such as YouTube and switch based on artificial intelligence and statistics.
0xPlatform's Ongoing Research Projects
We are pursuing a strong research-oriented
culture and we are always developing our business through a series of R&D projects.
SDN/NFV Network Management and Testbed
The main goal of this research project includes; the performance improvement of SDN controllers,
developing traffic engineering algorithm for efficient resource management, and network service
virtualization on the top of SDN/NFV.
Smart Mediator for Mashup Service
This research project aims at designing and implementing a smart mediator for mashup services.
In this project, the smart mediator connects IoT, Cloud, Big Data, Mobile and Security platforms and provides OpenAPIs which enables mashup service developers to access and manipulate
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