公开(公告)号：US20180309692A1

公开(公告)日：2018-10-25

申请号：US15872928

申请日：2018-01-16

Applicant: Intel Corporation

Inventor： Subramony Sesha ,  Archana Patni ,  Ananth S. Narayan ,  Mrittika Ganguli

IPC: H04L12/911 ,  G06F9/50 ,  H04L29/08 ,  G06F9/455 ,  H04L12/26

CPC classification number: H04L47/70 ,  G06F9/45504 ,  G06F9/5027 ,  G06F9/505 ,  H04L43/16 ,  H04L67/1095 ,  H04L67/1097 ,  H04L67/2842

Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

公开(公告)号：US10659386B2

公开(公告)日：2020-05-19

申请号：US15872928

申请日：2018-01-16

Applicant: Intel Corporation

Inventor： Subramony Sesha ,  Archana Patni ,  Ananth S. Narayan ,  Mrittika Ganguli

IPC: G06F15/173 ,  H04L12/911 ,  G06F9/50 ,  H04L29/08 ,  G06F9/455 ,  H04L12/26

Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

公开(公告)号：US09614779B2

公开(公告)日：2017-04-04

申请号：US14368349

申请日：2013-12-24

Applicant: Intel Corporation

Inventor： Subramony Sesha ,  Archana Patni ,  Ananth S. Narayan ,  Mrittika Mrittika Ganguli

IPC: G06F15/173 ,  H04L12/911 ,  H04L29/08

CPC classification number: H04L47/70 ,  G06F9/45504 ,  G06F9/5027 ,  G06F9/505 ,  H04L43/16 ,  H04L67/1095 ,  H04L67/1097 ,  H04L67/2842

Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

公开(公告)号：US20200344175A1

公开(公告)日：2020-10-29

申请号：US16875597

申请日：2020-05-15

Applicant: Intel Corporation

Inventor： Subramony Sesha ,  Archana Patni ,  Ananth S. Narayan ,  Mrittika Ganguli

IPC: H04L12/911 ,  G06F9/50 ,  H04L29/08 ,  G06F9/455 ,  H04L12/26

Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

公开(公告)号：US20220368645A1

公开(公告)日：2022-11-17

申请号：US17562664

申请日：2021-12-27

Applicant: Intel Corporation

Inventor： Subramony Sesha ,  Archana Patni ,  Ananth S. Narayan ,  Mrittika Ganguli

IPC: H04L47/70 ,  G06F9/50 ,  H04L67/568 ,  H04L67/1095 ,  G06F9/455 ,  H04L43/16 ,  H04L67/1097

Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

公开(公告)号：US11212235B2

公开(公告)日：2021-12-28

申请号：US16875597

申请日：2020-05-15

Applicant: Intel Corporation

Inventor： Subramony Sesha ,  Archana Patni ,  Ananth S. Narayan ,  Mrittika Ganguli

IPC: G06F15/173 ,  H04L12/911 ,  G06F9/50 ,  H04L29/08 ,  G06F9/455 ,  H04L12/26

Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

公开(公告)号：US20170237681A1

公开(公告)日：2017-08-17

申请号：US15388843

申请日：2016-12-22

Applicant: Intel Corporation

Inventor： Subramony Sesha ,  Archana Patni ,  Ananth S. Narayan ,  Mrittika Ganguli

IPC: H04L12/911 ,  G06F9/455 ,  G06F9/50 ,  H04L29/08 ,  H04L12/26

CPC classification number: H04L47/70 ,  G06F9/45504 ,  G06F9/5027 ,  G06F9/505 ,  H04L43/16 ,  H04L67/1095 ,  H04L67/1097 ,  H04L67/2842

Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

公开(公告)号：US11689471B2

公开(公告)日：2023-06-27

申请号：US17562664

申请日：2021-12-27

Applicant: Intel Corporation

Inventor： Subramony Sesha ,  Archana Patni ,  Ananth S. Narayan ,  Mrittika Ganguli

IPC: G06F15/173 ,  H04L47/70 ,  G06F9/50 ,  H04L67/568 ,  H04L67/1095 ,  G06F9/455 ,  H04L43/16 ,  H04L67/1097

CPC classification number: H04L47/70 ,  G06F9/45504 ,  G06F9/505 ,  G06F9/5027 ,  H04L43/16 ,  H04L67/1095 ,  H04L67/1097 ,  H04L67/568

Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

公开(公告)号：US09871742B2

公开(公告)日：2018-01-16

申请号：US15388843

申请日：2016-12-22

Applicant: Intel Corporation

Inventor： Subramony Sesha ,  Archana Patni ,  Ananth S. Narayan ,  Mrittika Ganguli

IPC: G06F15/173 ,  H04L12/911 ,  H04L29/08 ,  H04L12/26 ,  G06F9/50 ,  G06F9/455

CPC classification number: H04L47/70 ,  G06F9/45504 ,  G06F9/5027 ,  G06F9/505 ,  H04L43/16 ,  H04L67/1095 ,  H04L67/1097 ,  H04L67/2842

Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.