公开(公告)号：GB2509685B

公开(公告)日：2015-05-20

申请号：GB201200043

申请日：2010-05-17

Applicant: IBM

Inventor： CORTE GIANLUCA DELLA ,  BORGHETTI STEFANO ,  SGRO ANTONIO ,  GIANFAGNA LEONIDA

IPC: G06F9/50

Abstract: The method of the present invention provides an automatic and optimized selection of the network topology for distributing scheduling of jobs on the computers of the modified network topology. The automatic and optimized selection of the network topology starts from the current topology and a desired number of additional connections. In this way the method of the present invention provides a higher convergence speed for the modified consensus algorithm in comparison, e.g., to a simple ring network. The method exploits the so called small-world networks. Small-world networks are more robust to perturbations than other network architectures. The preferred embodiment provides a workload scheduling system which is highly scalable to accommodate increasing workloads within a heterogeneous distributed computing environment. A modified average consensus algorithm is used to distribute network traffic and jobs amongst a plurality of computers.

公开(公告)号：GB2509685A

公开(公告)日：2014-07-16

申请号：GB201200043

申请日：2010-05-17

Applicant: IBM

Inventor： CORTE GIANLUCA DELLA ,  BORGHETTI STEFANO ,  SGRO ANTONIO ,  GIANFAGNA LEONIDA

IPC: G06F9/50

Abstract: The method of the present invention provides an automatic and optimised selection of the network topology for distributing scheduling of jobs on the computers of the modified network topology. The automatic and optimised selection of the network topology starts from the current topology and a desired number of additional connections. In this way the method of the present invention provides a higher convergence speed for the modified consensus algorithm in comparison e.g. to a simple ring network. The method exploits the so called small-world networks. Small-world networks are more robust to perturbations than other network architectures. The preferred embodiment provides a workload scheduling system which is highly scalable to accommodate increasing workloads within a heterogeneous distributed computing environment. A modified average consensus algorithm is used to distribute network traffic and jobs amongst a plurality of computers.