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Computational Service Hosting

ACE Computational service hosting is about providing computing tools, models, computational server space, computing Web services, user and job management for the computational Web sites controlled by individuals or companies that do not have their own Web and computational resources.

Just like your business needs a static website (hosted in Web servers) to stay competitive, the computational and modeling tools that you developed also need to be hosted as Web services in dynamic computing servers.

ACE offers comprehensive computational service hosting including computing hardware, job scheduler, user management system, solver servers and computational software. ACE is the first company and has the strongest expertise to offer online computing services in the area of optimization, mathematical modeling, simulation, statistics, data mining and other operations research and management sciences related areas.

Our affordable and robust hosting makes ACE the best place to host dynamic personal or business computing and modeling Web service site. We are your computational web host for everything from model design, computational tool selection, computing server support, IT maintenance, static Web page and email integration, and computational service management.

The main benefits of our computational service hosting are scalability, availability, and performance.

For scalability, our computational services use combined processing power of compute nodes to run service-enabled tools such as a parallel modeling and distributed computing algorithms at a higher performance than a single machine can provide. Scaling the computational service processing power is achieved by simply adding additional nodes to the service host site.

Availability within the computational service host is assured as computing servers within the computational site provide backup to each other in the event of a failure. In high-availability computational service host, if a compute server is taken out of service or fails, the load is transferred to another compute server (or servers) within the host. To the user, this operation is transparent as the applications and data running are also available on the failover compute servers.

An additional benefit comes with the existence of a single system image and the ease of manageability of the computational service host. From the users perspective the users sees a computing resource as the provider of computing services and applications. The user does not know or care if this computing resource is a single server, a cluster, or even which node within the entire host is providing services. These benefits map to needs of today's enterprise business, education, military and scientific community infrastructures.

ACE computational service hosting is enabling a new class of computationally intensive applications that are solving problems that were previously cost prohibitive for many enterprises. The use of commodity computers collaborating to resolve highly complex, computationally intensive tasks has
broad application across many industries, such as supply chain management, chemistry or biology, quantum physics, petroleum exploration, mechanics simulation, and financial risk analysis.


Features of our state-of-the-art computational service hosting
  • Comprehensive user and job management
  • Powerful computing hardware
  • Fast Internet connection
  • Compatible with universal IT standards such as Web services, J2EE and .Net
  • Compatible with universal computing frameworks
  • Platform and programming language independent
  • Robust computational scheduler and registry
  • Robust solver and model servers
  • Numerous choice of optimization solvers, simulation engines, statistics and data mining programs
  • High security

Benefits of our state-of-the-art computational service hosting
  • Scalable capacity for compute, data, and transaction intensive applications, including support of mixed workloads
  • Horizontal and vertical scalability without downtime
  • Ability to handle unexpected peaks in workload
  • Central system management of a single systems image
  • Strictly compatible with IT standards and universal computing framework so that users and developers are not locked to computing technologies from a single vendor
  • 24 x 7 availability