AMDOCS DEVELOPMENT LIMITED (Limassol, CY)

A system, method and computer program products are available for performing distributed outsourced computing. A master node in the general distributed computing cluster manages the computing resources of the network. The master node is a part of the general distributed computing cluster. There are also slave nodes. The master node is the one that determines if computing resources are available on one or more of slave nodes. The master node determines if computing resources are available and identifies the slave nodes as an additional master node. Further the master node posts information related to one or more unfinished computing tasks assigned to the master node to the blockchain to allow access by the one or more of slave nodes to process.

Computing resources dedicated to solving the problem in question are limited and are expensive to scale. But, computing power in general (e.g. even in house, such as employees’ work stations, mobile devices, etc.) is enormous.

Distributed systems within enterprises currently execute large amounts of in-house computations on dedicated hardware resources. Hardware scaling makes this procedure prohibitive for day-to- daily maintenance of IT resources such as power, electricity and hardware costs, and network usage.

Once there is a need to increase the size of a cluster, the business purchases new equipment, configures it, and connects the new computing resource to the existing cluster. But, the majority of employees’ workstations are underutilized as less than 60% of their computing power is utilized.

The issues mentioned above and others are dealt with.

The method, system and computer program product that support distributed outsourced computing are explained. A master node of a general distributed computing cluster is responsible for managing computing resources in the network. The general distributed computing cluster comprises the master node and many slave nodes. The master node determines whether computing resources are accessible at any of the slave nodes. If resources for computing are in use the master node will recognize the slave nodes as an additional master node. The master node also publishes details about the unfinished computing tasks that it has assigned to it for the use of one or more of the slave nodes in the plurality.

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