Using execution statistics to select tasks for redundant...

Electrical computers and digital processing systems: multicomput – Remote data accessing – Accessing a remote server

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C709S226000, C707S793000, C718S102000

Reexamination Certificate

active

07093004

ABSTRACT:
The invention provides an off-the-shelf product solution to target the specific needs of commercial users with naturally parallel applications. A top-level, public API provides a simple “compute server” or “task farm” model that dramatically accelerates integration and deployment. A number of described and claimed adaptive scheduling and caching techniques provide for efficient resource and/or network utilization of intermittently-available and interruptible computing resource in distributed computing systems.

REFERENCES:
patent: 4914657 (1990-04-01), Walter et al.
patent: 5247677 (1993-09-01), Welland et al.
patent: 5381546 (1995-01-01), Servi et al.
patent: 5537542 (1996-07-01), Eilert et al.
patent: 6671065 (2003-12-01), Salgado et al.
patent: 6757730 (2004-06-01), Lee et al.
patent: 6952825 (2005-10-01), Cockx et al.
patent: 2003/0154284 (2003-08-01), Bernardin et al.
patent: 2003/0158913 (2003-08-01), Agnoli et al.
patent: 2005/0182773 (2005-08-01), Feinsmith

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Using execution statistics to select tasks for redundant... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Using execution statistics to select tasks for redundant..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Using execution statistics to select tasks for redundant... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3714124

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.