JP7135831B2 - 分析プログラム、および分析装置 - Google Patents
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- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
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- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0712—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a virtual computing platform, e.g. logically partitioned systems
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F11/00—Error detection; Error correction; Monitoring
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- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
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Description
P(A|B)=P(B|A)×P(A)/P(B) (1)
P(F(t))=(t-1からtにおける関数Fのサンプル数)/(t-1からtにおける全関数の全サンプル数) (2)
P(F(t)|F(t+1))=P(F(t+1)|F(t))×P(F(t))/P(F(t+1)) (3)
P(Fi(t)|Fj(t+1))=P(Fj(t+1)|Fi(t))×P(Fi(t))/P(Fj(t+1)) (4)
P(F2(t)|F1(t+1))=P(F1(t+1)|F2(t))×P(F2(t))/P(F1(t+1)) (5)
P(F1(t+1)|F2(t))=(F2のサンプルの次にF1のサンプルが存在している数)/(F2のサンプル総数) (6)
P(F2(t-1)|F1(t+1))の経路1→P(F2(t-1)|((F2(t)|F1(t+1)))
=P((F2(t)|F1(t+1))|F2(t-1))×P(F2(t-1))/P(F2(t)|F1(t+1))) (7)
P(B(t+2)|A(t+1))=0.8 (8-1)
P(B(t+2)|B(t+1))=0.1 (8-2)
P(B(t+2)|C(t+1))=0.2 (8-3)
P(A(t+1)|A(t))=0.03 (8-4)
P(B(t+1)|A(t))=0.04 (8-5)
P(C(t+1)|A(t))=0.01 (8-6)
P(A(t)|B(t+2))
=P(A(t)|A(t+1)|B(t+2))+P(A(t)|B(t+1)|B(t+2))+P(A(t)|C(t+1)|B(t+2))
=P(A(t)|(A(t+1)|B(t+2)))+P(A(t)|(B(t+1)|B(t+2)))+P(A(t)|(C(t+1)|B(t+2)))
(9)
P(A(t)|(A(t+1)|B(t+2)))
=P((A(t+1)|B(t+2))|A(t))×P(A(t))/P(A(t+1)|B(t+2)) (10-1)
P(A(t)|(B(t+1)|B(t+2)))
=P((B(t+1)|B(t+2))|A(t))×P(A(t))/P(B(t+1)|B(t+2)) (10-2)
P(A(t)|(C(t+1)|B(t+2)))
=P((C(t+1)|B(t+2))|A(t))×P(A(t))/P(C(t+1)|B(t+2)) (10-3)
P((A(t+1)|B(t+2))|A(t))=P(A(t+1)|A(t))=0.03 (11-1)
P((B(t+1)|B(t+2))|A(t))=P(B(t+1)|A(t))=0.04 (11-2)
P((C(t+1)|B(t+2))|A(t))=P(C(t+1)|A(t))=0.01 (11-3)
P(A(t+1)|B(t+2))=P(B(t+2)|A(t+1))×P(A(t+1))/P(B(t+2))
=0.8×0.1/0.6
=0.13 (12-1)
P(B(t+1)|B(t+2))=P(B(t+2)|B(t+1))×P(B(t+1))/P(B(t+2))
=0.1×0.7/0.6
=0.12 (12-2)
P(C(t+1)|B(t+2))=P(B(t+2)|C(t+1))×P(C(t+1))/P(B(t+2))
=0.2×0.2/0.6
=0.07 (12-3)
P(A(t)|(A(t+1)|B(t+2)))=P((A(t+1)|B(t+2))|A(t))×P(A(t))/P(A(t+1)|B(t+2))
=0.03×0.5/0.13
=0.12 (13-1)
P(A(t)|(B(t+1)|B(t+2)))=P((B(t+1)|B(t+2))|A(t))×P(A(t))/P(B(t+1)|B(t+2))
=0.04×0.5/0.12
=0.17 (13-2)
P(A(t)|(C(t+1)|B(t+2)))=P((C(t+1)|B(t+2))|A(t))×P(A(t))/PP(C(t+1)|B(t+2))
=0.01×0.5/0.07
=0.07 (13-3)
P(A(t)|B(t+2))
=P(A(t)|(A(t+1)|B(t+2)))+P(A(t)|(B(t+1)|B(t+2)))+P(A(t)|(C(t+1)|B(t+2)))
=0.12+0.17+0.07
=0.36 (14)
2 分析装置
11 ホストOS
12 仮想マシン
13 OS
14 アプリケーション
21 測定部
22 指示部
23 取得部
24 集計部
25 生成部
26 分析部
27 出力部
28 記憶部
100 バス
111 プロセッサ
112 メモリ
113 補助記憶装置
114 通信インタフェース
115 媒体接続部
116 入力装置
117 出力装置
118 可搬型記録媒体
Claims (5)
- 複数のオペレーティングシステムが第1時間間隔毎に動作中のプログラムに対してサンプリングして得た、動作中の関数を識別可能な情報を取得し、
前記関数毎に、取得された前記情報の数を集計し、
前記情報の数が所定の条件を満たす関数について、第2時間間隔毎の前記情報の数を示す時系列データを生成し、
前記時系列データに基づいて、複数の前記関数同士の因果関係分析を実行し、
前記関数同士の因果関係分析結果を出力する
処理をコンピュータに実行させるための分析プログラム。 - 前記複数のオペレーティングシステムは、仮想マシンのオペレーティングシステムおよび前記仮想マシンが稼動するホスト装置のオペレーティングシステムを含み、
前記複数のオペレーティングシステムが前記第1時間間隔毎に動作中のプログラムに対してサンプリングして得た、前記動作中の関数を識別可能な情報を取得する
処理を前記コンピュータに実行させることを特徴とする請求項1記載の分析プログラム。 - 前記因果関係分析において、前記第2時間間隔内の全ての前記情報の数に対する、前記第2時間間隔内のいずれかの関数を識別可能な前記情報の数の割合を前記いずれかの関数の動作確率として用いて、ベイズ推定を実行することにより、前記いずれかの前記関数が動作した場合に他の前記関数が動作していた確率を算出し、
算出された前記確率を前記因果関係分析結果として出力する
処理を前記コンピュータに実行させることを特徴とする請求項1または2記載の分析プログラム。 - 前記複数のオペレーティングシステムに対するレイテンシを測定し、
前記複数のオペレーティングシステムにサンプリング実行指示を送信してから、前記レイテンシが経過するまでの時間に基づく除外対象時間を、前記情報の数の集計対象の時間および前記時系列データの生成対象の時間から除外する
処理を前記コンピュータに実行させることを特徴とする請求項1乃至3のうち何れか1項に記載の分析プログラム。 - 複数のオペレーティングシステムが第1時間間隔毎に動作中のプログラムに対してサンプリングして得た、動作中の関数を識別可能な情報を取得する取得部と、
前記関数毎に、取得された前記情報の数を集計する集計部と、
前記情報の数が所定の条件を満たす関数について、第2時間間隔毎の前記情報の数を示す時系列データを生成する生成部と、
前記時系列データに基づいて、複数の前記関数同士の因果関係分析を実行する分析部と、
前記関数同士の因果関係分析結果を出力する出力部と
を備えることを特徴とする分析装置。
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JP2016197450A (ja) | 2016-07-25 | 2016-11-24 | 日本電気株式会社 | 運用管理装置、運用管理システム、情報処理方法、及び運用管理プログラム |
JP2018194988A (ja) | 2017-05-16 | 2018-12-06 | 富士通株式会社 | 情報処理装置、情報処理方法、およびプログラム |
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JP5915006B2 (ja) * | 2011-06-29 | 2016-05-11 | ソニー株式会社 | 情報処理装置および方法、記録媒体、並びにプログラム |
JP5642725B2 (ja) | 2012-02-22 | 2014-12-17 | 日本電信電話株式会社 | 性能分析装置、性能分析方法及び性能分析プログラム |
JP6079317B2 (ja) | 2013-03-05 | 2017-02-15 | 富士通株式会社 | 仮想計算機システム及びその管理方法並びに仮想計算機システムの管理プログラム |
JP5602963B1 (ja) | 2014-01-30 | 2014-10-08 | グリー株式会社 | ゲーム管理プログラム、ゲーム管理方法及びゲーム管理システム |
JP5719470B1 (ja) | 2014-08-20 | 2015-05-20 | グリー株式会社 | ゲーム管理プログラム、ゲーム管理方法及びゲーム管理システム |
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