BitWrk is creating a marketplace where participants can buy or sell computing power like stocks in a stock exchange, using Bitcoin as currency. The client software can be integrated with existing, compute-intensive applications (e.g. rendering software), creating a big boost by harnessing the combined computing power of the BitWrk network. Sellers earn money by putting their hardware to work, offering an alternative to Bitcoin mining.
Collax Business Server is an all-in-one Linux server for small- and medium-sized businesses. It delivers all the important network services within a heterogeneous business environment for communication, infrastructure, compliance, groupware, and storage, all in a reliable and secure way which is easy to manage. It also provides essential security functions such as firewalling and virus and spam filtering, to protect against hacker attacks, viruses, and unsolicited email messages.
Collax V-Cube+ is a HA cluster management suite based on a 64bit Linux system and KVM to provide server virtualization. It offers solutions for single virtualization hosts, as well as high availability management on two or more nodes, allowing embedded HA storage using DRBD and iSCSI. By using live snapshots, automatic live migration, and incremental backups, the availability of virtual machines is increased tremendously in case of hardware and software maintenance or even hardware failures. Virtual network switches and the protocols GVRP, LLDP, and RSTP help to set up a virtual DMZ.
filegive easily sends or receives files point-to-point, with authentication and ciphering, and the other side only needs a Web browser. No third party server is involved in the transfer. It can use common NAT traversal protocols like uPnP and NAT-PMP, manually forwarded ports, or a public ssh server.
Weed-FS is a simple and highly scalable distributed file system. There are two objectives: to store billions of files, and to serve the files fast! Instead of supporting full POSIX file system semantics, it implements only a key-file mapping. Instead of managing all file metadata in a central master, it manages file volumes in the central master and lets volume servers manage files and the metadata. This relieves concurrency pressure from the central master and spreads file metadata into volume servers' memories, allowing faster file access with just one disk read operation. It is modelled on Facebook's Haystack design paper. Only 40 bytes of disk storage are required for each file's metadata, and disk reads are O(1).