What is grid computing?

Grid computing represents a computer network where each computer’s resources are shared with other computers in the system. This solution allows coordinating computer resources on different networks. The concept of grid computing is to share load across multiple computers to complete tasks more efficiently and quickly. Every authorized computer in the grid would have access to enormous processing power and storage capacity.

How does grid computing work?

Computer power is like elctricity - it can hardly be stored if not used. The Grid is a service for sharing computer power and data storage capacity over the Internet. Many systems are tightly coupled by software and networks to work together on single or related problems. Optimizing the use of computing resources (e.g. available disk storage on the machines of the enterprise, putting together heterogeneous systems to create a large virtual computing system). As modern scientific and engineering problems grow in complexity, the computation time and memory requirement increase, and distributed and grid computing becomes a necessity.

How to manage grid computing resources?

Activeeon offers grid computing solutions that will help you to manage all your data processes in grids - learn more about ProActive Workflows & Scheduling and Big Data Automation. Thanks to our solutions you will be able to execute and manage data transfers on other Desktop machines, Clusters, Grids and Clouds.

Reduce Costs thanks to resource management

ProActive Workflows & Scheduling allows you to federate your existing resources (clusters, native batch-schedulers, desktop machines and virtualized infrastructures) and add on-demand extra resources from external environments such as clouds. Resources coming from multiple origins are unified as ProActive Nodes and can be accessed transparently: Desktop machines (Windows, Linux, MacOS X), all kind of stand-alone server machines, cluster nodes managed by common batch-schedulers (Slurm, LSF, SGE) and private or public Clouds resources (OpenStack, CloudStack, VMWare, Windows Azure, Amazon EC2, etc.).

Control the resources acquisition behavior according to various policies such as Load based or Time based. With smart policy-driven decisions, control task placement, workload capacity (planning and elasticity) and energy saving strategies.

ProActive Workflows & Scheduling offers monitoring capabilities for your resources and your applications to collect and track the metrics on which you base your triggers.

Distributed computing >>







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