Latest News:
Stork 1.0 coming soon..
The first full release of Stork data scheduler "Stork 1.0" with an extended list of features will be available in Spring 2008. Please stay tuned for further information and updates. [Read More]
Overview
Stork is a batch scheduler specialized in data placement and data movement, which is based on the concept and ideal of making data placement a first class entity in a distributed computing environment. Stork understands the semantics and characteristics of data placement tasks and implements techniques specific to queuing, scheduling, and optimization of these type of tasks.
Stork acts like an I/O control system (IOCS) between the user applications and the underlying protocols and data storage servers. It provides complete modularity and extendibility. The users can add support for their favorite storage system, data transport protocol, or middleware very easily. If the transfer protocol specified in the job description file fails for some reason, Stork can automatically switch to any alternative protocols available between the same source and destination hosts and complete the transfer.
Stork can interact with higher level planners and workflow managers. This allows the users to schedule both CPU resources and storage resources together. Currently, some implementations of Condor DAGMan and Pegasus come with Stork support.
Stork is an ongoing joint project between Louisiana State University and University of Wisconsin-Madison.
