Statistics & Data Mining

• Host, embed or access your statistics models, SAS programs, data mining engines as services on the Web?
• Renovate, integrate and deploy statistics systems and software in your enterprise intranet?

ACE got the entire standards-based enabling technologies and solutions!

The convergence of computing and communication has produced a society that feeds on information. Both classical statistics and modern data mining/machine learning techniques can be computationally intensive processes in discovering patterns in data. Meeting the computing demands with fixed IT budgets can be a challenge to the enterprises.

ACE technologies make it easy to host statistics, data mining and machine learning tools on distributed systems. Our technologies enable low-cost system infrastructure to build and manage changing computing environments.

With ACE technologies, users can process high-volume and large-scale statistics jobs and programs faster, improve computing server utilization, and scale cost-effectively to future needs.

ACE Statistics Job Scheduler handles communication issues related with different layer of network protocols such as HTTP and SOAP. ACE scheduler Server is fully compatible with universal computing framework. Major specific features include but are not limited to:

• Remote statistics job reception, submission, management and control
• Keeping track of unlimited number of computational statistics solver on a heterogeneous network, maintaining all their service status and job statistics.
• Intelligently schedules statistics jobs onto available solver services
• Waiting statistics job queue management
• Actively running statistics job queue management
• Finished/killed statistics job management
• Remote retrieval of previously submitted statistics jobs
• Statistics result storage
• User management related to their statistics job submission
• Intelligently allocating computing resources to different statistics jobs
• Session and state maintenance
• Synchronous and asynchronous scheduler/solver invocation
• Killing long statistics jobs over the remote server
• Checking and managing scheduler/solver service status and job statistics
• Automatic statistics job completion notification via most common protocols including emails
• Persistence between service starts
• Service logging
• Automatic notification of critical service information to admin
• Centralized user configuration
• Directory and file cleanup
• Disk, memory and process cleanup
• Critical statistics data backing up
• Long statistics job handling
• Statistics j ob dependency and sequencing handling
• Keeping track of service utilization and preparing periodic report
• Automatic statistics input and output validation and processing
• Remote User control
• Support of machines with multiple CPUs
• Support of all major operating systems
• Authentication and authorization
• Security