Commonality in distributed analysis architecture
	User Interface	Master control server	Secondary control server	Analysis worker
Description	User can have 0-n UIs. Can disconnect/reconnect	Persistent for session duration. Centralized session management at grid-wide level.	Session management at grid-site level. Started at sites providing session resources	Processing and local storage resource
Implementations	ROOT, JAS, Python (e.g. Ganga), web browser UI, CAIGEE web client	PROOF master (sort of), JAS control server, Clarens	PROOF secondary master (future)	PROOF slaves, JAS data servers
Single user view. All is duplicated for additional analysis users with their own sessions and tasks.
Services used					Comments, implementations
"setup"	login - vo authentication, authorization, rights management, inter-vo	authentication, auth, rights, collaborative management of sessions, tasks	authentication	authentication	Lothar: registration, DBs scoped out. Working out sharing functionality. Existing tools + new work
"data mgmt, file movement"		rms - replica location, data mover, cost estimator for replica selection	rms, data collecting services	rms, data collecting services, software installer	Data mover - gridftp etc.
"physics selection and abstract task definition"	vds -  dataset catalog service (physics query or name lookup returns dataset(s), transformation catalog	vds
"concrete task planning"	resource cost estimator	planner/rb/scheduler - discovery, matchmaking, estimation, reservation, workflow executor, information service			Workflow executor - dagman;  Info service - RGMA, MDS, must extend schema for dist analysis
"schedule and submit"		job execution service - abstract job submit (plan + submit), concrete job submit (concretely specified submit), request executor	job status, job control, job client interaction		Planner - Sphinx; Request executor - COD, Condor-G, GRAM;
"monitoring and control"	job status, job control, fault monitor, grid monitors				Grid monitoring framework - MonaLisa
	control/comm, job capability	control/comm	control/comm	control/comm	job capability - do I support capability X, eg. Do you support access to partial results? With what protocols?
"metadata"	metadata	metadata	metadata	metadata	many kinds, needs definition
Execution flow for basic interactive analysis
	User Interface	Master control server	Secondary control server	Analysis worker
	Sign on
	Authenticate, authorize
	Inherit rights, policies, environment; adjust
	Optional - connect to existing session
	Select dataset(s)
	Browse/query datasets, transformations
	Check grid weather, set user-defined planner constraints
	Start session
	Launch master controller	Init config, constraints from UI
		Analysis worker configuration
		Data placement planning
		CPU allocation planning
	Availability, cost evaluation; approval or reconfiguration	Reconfigure as needed
		Perform data placement and CPU allocation
		Launch slaves	Secondary control launched	Slaves launched
		Slave communication for config	Slave communication for config	Slave communication for config
	Establish task
	Set application, algorithms, configuration
	Select dataset(s)
	Redo CPU allocation	Redo CPU allocation
	Initiate task	Initiate task	Initiate task	Initiate task
				Software setup
				Execute
	Monitoring of task jobs, statistics, the grid			Feed monitoring, statistics
	See new cost estimate based on execution
	Control/adjust execution constrained by policy, e.g. suspend/resume, abort	Execution control, fault management	Execution control	Execution control
	Modify CPU allocation; re-strategize	Redo CPU allocation	Redo CPU allocation	Launch new slaves
	Intermediate results			Feed intermediate results
	Task completion notification	Complete task
	Save logging, provenance	Logging, metadata to catalogs		Logging, metadata to catalogs
	Gather results	Merging statistical and bulk data	Merging statistical and bulk data	Upload results for merge, archive
	Archive, share results	Data return, archiving, cataloging
		Task save
	Interactive analysis
	Examine, analyze results
	Scan list of events
	Define, launch new selection in batch
	Launch re-reco on sample
	Save dataset locally
	Save objects with their provenance
	LOOP on Establish task
	Save session config
	End and tear down session
	LOOP on Select datasets