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authorMatthewLi <matthew.lijun@huawei.com>2016-02-25 02:05:57 -0500
committerMatthewLi <matthew.lijun@huawei.com>2016-02-25 02:14:31 -0500
commita4669a5eff3b0866f9f15346a5a0d4d81af409d7 (patch)
tree6b4666cf62d798bb17b60034a88952afe1525542 /docs/prediction_docs
parent2146927ccbcf5ae03d69b0463b5b1c17a6183925 (diff)
rewrite document format to satisfy sphinx
JIRA: PREDICTION-16 Change-Id: I46eef324425ad1058125669e54ac6c9a4b3f8f2e Signed-off-by: MatthewLi <matthew.lijun@huawei.com>
Diffstat (limited to 'docs/prediction_docs')
-rw-r--r--docs/prediction_docs/Section_1_Use_cases_and_scenarios.rst23
-rw-r--r--docs/prediction_docs/Section_2_Gap_analysis_in_upstream_projects.rst105
-rw-r--r--docs/prediction_docs/index.rst12
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diff --git a/docs/prediction_docs/Section_1_Use_cases_and_scenarios.rst b/docs/prediction_docs/Section_1_Use_cases_and_scenarios.rst
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+=========================
+1 Use cases and scenarios
+=========================
+
+Telecom services often have high available requirements. Failure prediction is one of the importance features
+for high available requirements. Operator can handle faults in advance based on failure prediction.
+This project focuses on data collection of failure prediction.
+
+The data collector consists of Ceilometer and Monasca which can be extended to plugin some other open source data collectors,
+e.g. Zabbix, Nagios, Cacti. Based on real-time analytics techniques and machine learning techniques,
+the failure predictor analyses the data gathered by the data collector to automatically determine whether a failure will happen.
+If a failure is judged, then the failure predictor sends failure notifications to the failure
+management module (e.g. the Doctor module), which could handle these notifications.
+
+Use case 1
+==========
+
+Based on infrastructure metrics, it is possible to predict failure of infrastructure, e.g. Nova, Neutron, MQ.
+
+Use case 2
+==========
+
+Based on metrics of infrastructure and VM inside, it is possible to predict failure of VNF.
diff --git a/docs/prediction_docs/Section_2_Gap_analysis_in_upstream_projects.rst b/docs/prediction_docs/Section_2_Gap_analysis_in_upstream_projects.rst
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+===================================
+2 Gap analysis in upstream projects
+===================================
+
+This section presents the findings of gaps on existing VIM platforms.
+The focus was to identify gaps based on the features and requirements specified in Section 3.3.
+The analysis work performed resulted in the identification of gaps of which are herein presented.
+
+2.1 Monasca
+===========
+
+Monasca is an open-source monitoring-as-a-service (MONaaS) solution that integrates with OpenStack.
+Even though it is still in its early days, it is the interest of the community that the platform be multi-tenant,
+highly scalable, performant and fault-tolerant. Companion with a streaming alarm engine and a notification engine,
+is a northbound REST API users can use to interact with Monasca. Hundreds of thousands of metrics per second can be processed [8].
+
+2.1.1 Memory usage in HyperV
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+* Type: 'missing'
+* Description:
+
+ + To-be
+
+ - Monasca should collect memory usage in HyperV.
+
+ + As-is:
+
+ - Monasca does not support querying memory usage of HyperV.
+
+ + Gap
+
+ - Monasca does not support querying memory usage of HyperV.
+
+2.1.2 Memory usage in Libvirt
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+* Type: 'missing'
+* Description:
+
+ + To-be
+
+ - Monasca should collect memory usage in Libvirt.
+
+ + As-is:
+
+ - Monasca does not support querying memory usage of Libvirt.
+
+ + Gap
+
+ - Monasca does not support querying memory usage of Libvirt.
+
+2.2 Heat
+==========
+
+Heat is an orchestration project of openstack. It can be used for deploy application.
+Its cfn-hup tool can monitor metadata in VM and notify to heat. But this function is poor now,
+we can extend cfn-hup to collect more information inside VM and make failure prediction.
+
+2.2.1 Cfn-hup
+^^^^^^^^^^^^^
+
+* Type: 'monitoring issue'
+* Description:
+
+ + To-be
+
+ - Cfn-hup is able to collect more metrics than metadata inside VM. These metrics can be used for failure prediction.
+
+ + As-is:
+
+ - Cfn-hup just can monitor metadata inside VM.
+
+ + Gap
+
+ - Cfn-hup should monitor more information inside VM.
+
+2.3 VM Introspection
+=====================
+
+Virtual machine introspection (VMI) is a mechanism that allows indirect inspection and manipulation of the state of virtual machines.
+It resulted in a variety of VMI-based applications dealing with security, performance, and debugging in virtual machine environments.
+Of course, it can be used to collect detail metrics in VM and used for failure prediction.
+
+LibVMI is an open source implementation of VMI supporting commodity hypervisors such as Xen and KVM.
+LibVMI provides the functionality of mapping raw memory pages of VMs inside the privileged VM and relies on
+monitoring software to interpret the contents of these mapped pages. For more information, please visit website: http://libvmi.com/
+
+2.3.1 VM Introspection
+^^^^^^^^^^^^^^^^^^^^^^
+
+* Type: 'monitoring issue'
+* Description:
+
+ + To-be
+
+ - VMI can be used to collect detail information inside VM for failure prediction.
+
+ + As-is:
+
+ - VMI can collect some information for security analysis.
+
+ + Gap
+
+ - Openstack is lack of a module used to collect detail information of VM based on VMI technology.
diff --git a/docs/prediction_docs/index.rst b/docs/prediction_docs/index.rst
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+**********************
+Prediction Project
+**********************
+
+Contents:
+
+.. toctree::
+ :numbered:
+ :maxdepth: 4
+
+ Section_1_Use_cases_and_scenarios.rst
+ Section_2_Gap_analysis_in_upstream_projects.rst