Userful Desktop is a locked-down and secure desktop Linux distribution designed for schools, libraries, kiosks, Internet cafes, digital signage, and public access computers. Customization and control is all done through the cloud: a simple and intuitive administration Web site. The "Userful MultiSeat" desktop virtualization software that supports Ethernet and USB connected zero clients is also included. Desktop settings can be managed for thousands of desktops at once via session profiles, which are created and stored in the cloud. Key features include time management, print cost recovery, Internet filtering, privacy protection, automated clean-up, remote desktop monitoring and control, prepaid cards, and automatic updates. It replaces both DiscoverStation and Desktop Server.
GlusterFS is a clustered filesystem capable of scaling to several petabytes. It aggregates various storage bricks over Infiniband RDMA or TCP/IP interconnect into one large parallel network file system. GlusterFS is based on a stackable user space design without compromising performance. It allows access via Swift API, SMB, NFSv3, QEMU/KVM, OpenStack Compute, OpenStack Block Storage, Xen, CloudStack, HDFS API, oVirt, and more, all in a unified backend which enables multiple, simultaneous access points to the same data stores.
StarCluster is a utility for creating traditional computing clusters used in research labs or for general distributed computing applications on Amazon's Elastic Compute Cloud (EC2). It uses a simple configuration file provided by the user to request cloud resources from Amazon and to automatically configure them with a queuing system, an NFS shared /home directory, passwordless SSH, OpenMPI, and ~140GB scratch disk space. It consists of a Python library and a simple command line interface to the library. For end-users, the command line interface provides simple intuitive options for getting started with distributed computing on EC2 (i.e. starting/stopping clusters, managing AMIs, etc). For developers, the library wraps the EC2 API to provide a simplified interface for launching/terminating nodes, executing commands on the nodes, copying files to/from the nodes, etc.
CCI:U Open Course Labs is a Django-based Web application that interfaces cloud-computing infrastructure such as Amazon EC2 and NexR iCube Cloud. More backends may be added. It provides the access to cloud infrastructure in the form of "course labs" where course staff in an academy can manage the allocated computing resources and assignments easily. Course labs can also be used as course homepages.
DragonDisk is a powerful file manager for S3 compatible cloud storage services, such as Amazon S3 and Google Cloud Storage. It allows you to back up, share, and organize your data thanks to an intuitive interface. Features include multiple windows; copy / move between Amazon S3 accounts; a multi-threaded HTTP/HTTPS engine; drag and drop; rename files and folders; filename filters; BiTorrent, time limited, and signed URLs; client side encryption; a metadata editor; ACL inheritance; detailed operations logs; and support for versioning.
KaOS is a lightweight, multi-purpose embedded Linux platform designed for virtualization and cloud computing applications. KaOS is based on Linux KVM and is a true enterprise grade hypervisor platform. KaOS makes it easy to deploy KVM based virtualization solutions. KaOS is a lightweight platform, less than 10MB in size. The SDK provides everything necessary to rebuild the platform and comes with scripts to assist with building a KaOS-enabled Linux kernel. KaOS has a menu-driven CLI called AppQueue and a management process that replaces init and other functions called kattach.
OpenNebula is a toolkit to easily build any type of cloud: private, public, and hybrid. OpenNebula has been designed to be integrated with any networking and storage solution and so to fit into any existing data center. OpenNebula orchestrates storage, network, and virtualization technologies to enable the dynamic placement of multi-tier services (groups of interconnected virtual machines) on distributed infrastructures, combining both data center resources and remote cloud resources, according to allocation policies.