pomsets: Workflow management for your cloud

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Transcription:

: Workflow management for your cloud Michael J Pan Nephosity 20 April, 2010 : Workflow management for your cloud

Definition Motivation Issues with workflow management + grid computing Workflow management is crucial to cloud computing Workflow structures Ease of use The mathematical model The workflow management system : Workflow management for your cloud

Workflow management is... Definition Motivation the design, specification, coordination of the execution of tasks and task dependencies. : Workflow management for your cloud

Definition Motivation Motivation We have lots of data and compute nodes to process that data. To minimize execution time, we need a tool to design and specify of task parallelism and task dependency ordering coordinate execution of the tasks over large compute resources enable workflow reuse over multiple datasets : Workflow management for your cloud

Issues with workflow management + grid computing Workflow management is crucial to cloud computing Why workflow management + cloud computing? Cloud computing provides the ability to scale compute resources with the work that needs to be done Better than what is available today, i.e. WFM+grid computing WFM is critical to a successful long-term cloud computing strategy A critical component of the cloud computing software stack Significant cloud computing community desire for WFM functionalities Identification by scientific community as essential technologies : Workflow management for your cloud

Issues with workflow management + grid computing Workflow management is crucial to cloud computing Workflow management + grid computing Large computing resources historically available as grid computing. Issues with WFM on grids Jobs submitted to grids are often queued up behind jobs of other users, reduces the effectivity of workflow management optimizations Hetereogeneous compute environments may result in different task results and/or make the workflow specification unnecessarily complex Grids are not easily federated, limiting burst computing Available only to institutions with the resources to deploy their own grid, as well as implement their own WFM WFM systems developed specifically for particular grids, subject to their idiosyncrasies and not generalizable : Workflow management for your cloud

Issues with workflow management + grid computing Workflow management is crucial to cloud computing Components of a cloud computing software stack virtual machines (VMWare, Xen, Virtuzzo, KVM) dynamic provisioning (Amazon EC2, Eucalyptus, GoGrid, Rackspace, Dell/Joyent) task partitions (MapReduce, Hadoop, Disco, Sphere) data distribution (GFS, HDFS, Ceph, Sector, Voldemort, MongoDB, CouchDB) unified messaging (Qpid, RabbitMQ, Amazon SNS) workflow management (Azkaban, Kepler, Oozie, Pipeline, Pegasus, Taverna, Triana, ) monitoring & reporting (RightScale, Nagios, Ganglia, Graphite) : Workflow management for your cloud

Significant community demand Issues with workflow management + grid computing Workflow management is crucial to cloud computing (screencap 2009-12-04, currently 57 watchers) : Workflow management for your cloud

Issues with workflow management + grid computing Workflow management is crucial to cloud computing Identification by the scientific community Beyond the Data Deluge (Science, Vol. 323. no. 5919, pp. 1297-1298, 2009) In the future, the rapidity with which any given discipline advances is likely to depend on how well the community acquires the necessary expertise in database, workflow management, visualization, and cloud computing technologies. : Workflow management for your cloud

Workflow structures Ease of use Challenges with workflow management Ability to handle the various workflow structures Ease of use Others that we will not cover, including, but not limited to data management and distribution validation of data (both inputs and outputs) data provenance command versioning : Workflow management for your cloud

Workflow structures Ease of use Workflow structures Fan out Fan in Diamond Intermediary N Task partitioning (Parameter sweep, MapReduce) What do they look like, in a dependency graph, and when linearized (coded into a script)? What issues do they present? : Workflow management for your cloud

Workflow structures Ease of use Fan out A; B; C A; C; B Completion of a task needs to notify all its successors. : Workflow management for your cloud

Workflow structures Ease of use Fan in A; B; C B; A; C A task cannot start until all its predecessors have completed. : Workflow management for your cloud

Workflow structures Ease of use Diamond A; B; C; D A; C; B; D Combination of fan in and fan out. Need to ensure that D is not run twice. : Workflow management for your cloud

Intermediary Outline Workflow structures Ease of use A; B; C Another variation of combination fan in and fan out. Need to ensure that C is not run twice. : Workflow management for your cloud

Workflow structures Ease of use N A; C; B; D A; C; D; B C; A; B; D C; A; D; B C; D; A; B Another variation of combination fan in and fan out. Computational linguistics theory: N structures in a pomset grammer increases the degree of context sensitivity of the grammar. : Workflow management for your cloud

Workflow structures Ease of use Task partitioning A 1 ; A 2 ;...; A n Issues Dynamic generation of task partitions Combination of task partitioning with previous structure types : Workflow management for your cloud

Pig Outline Workflow structures Ease of use IMHO, not very user friendly. : Workflow management for your cloud

Oozie Outline Workflow structures Ease of use IMHO, not very user friendly. : Workflow management for your cloud

Workflow structures Ease of use Usability Hypothesis All things being equal (i.e. functionality), the product easiest to use becomes dominant Search and mail: Google Phone and tablet: Apple Social networking: Facebook : Workflow management for your cloud

Workflow structures Ease of use Usability goals Visual: no user coding Simple: easy enough for non-programmers to design their workflows and to execute workflows on existing clouds Powerful: capable of specifying dependencies, task partitions, etc. if desired by user, but not overwhelm user by default : Workflow management for your cloud

The mathematical model The workflow management system is... a mathematical model first used in 1985 by Vaughn Pratt to describe concurrent processes an application that implements the mathematical model as the data structures that represent workflow components, facilitates the design and specification of workflows, and coordinates the execution of the workflows on cloud deployments. : Workflow management for your cloud

The mathematical model The workflow management system The mathematical model A labelled partial order is a 4 tuple (V, Σ,, µ) where V is a set of vertices Σ is the alphabet is the partial order on the vertices µ is the labelling function µ: V Σ A pomset (partially ordered multiset) is a LPO up to isomorphism. : Workflow management for your cloud

The mathematical model The workflow management system The workflow management system Two main components the core is the backend and provides an API the GUI is the front end and interacts with the user : Workflow management for your cloud

The mathematical model The workflow management system Features Parallel computing Data flow Flow control Workflow reusability Compute cloud agnosticism Execute environment agnosticism MapReduce Intuitive GUI Simple API : Workflow management for your cloud

Demo Outline The mathematical model The workflow management system : Workflow management for your cloud

The mathematical model The workflow management system Target users end users who have workflows that they run repetitively over different datasets subject matter experts who design workflows to share with their colleagues/collaborators developers who develop programs to be executed as workflow tasks developers who explicitly define workflows that their application executes : Workflow management for your cloud

The mathematical model The workflow management system Future work Apply workflow management to applications in various domains; make improvements as necessary rendering, animation, special effects medical imaging scientific computing text processing : Workflow management for your cloud

The mathematical model The workflow management system Getting to know http://.org Current release is 1.0.6 Download source Download Mac OS X application bundle Prepackage binaries for other platforms soon Sign up on the user and/or announcement groups : Workflow management for your cloud