CRFTS:クラウドコンピューティングにおける QoS を強化するためのクラスター中心の,予約ベースの故障耐性スケジューリング戦略
Sheikh Umar Mushtaq1, Sophiya Sheikh2, Ajay Nain1
1School of computer applications ,Lovely Professional University, Jalandhar-Delhi, G.T. Road, Phagwara, 144411, Punjab, India.
Scientific reports
|September 1, 2025
まとめ
この研究では,クラウドリソースの利用とタスクの完了時間を最適化するために,クラスタリングと予約の故障耐性スケジューリング (CRFTS) を導入します. CRFTSは,VMの故障を積極的に検出し,タスクの割り当てを改善することで,システムの信頼性を高め,マークスパンを削減します.
科学分野:
- クラウドコンピューティング
- 分散型システム
- 資源管理
背景:
- 効率的なリソース利用,タスクスケジューリング,および故障耐性は,進化するクラウド環境において極めて重要です.
- タスクの実行時間 (メークスパン),運用費用,ロードの分配,およびリソースの利用を最適化するには,効率的なVMタスクマッピングが必要です.
研究 の 目的:
- クラウド環境における新しいスケジューリング戦略と故障耐性メカニズムを導入する.
- サービス品質 (QoS) の向上のためのクラスタリングと予約の故障耐性スケジューリング (CRFTS) モデルを提示する.
主な方法:
- ハートビートメカニズムを使用して,積極的なVM故障検出を実装します.
- 断続的なサービス提供のための予約ベースの故障許容枠組の開発.
- 仮想マシン (VM) にタスクの割り当てを最適化し,リソースの利用率を向上させ,完了時間を短縮します.
主要な成果:
- CRFTSは,HEFT,FTSA-1,DBSA,E-HEFT,LB-HEFT,BDHEFT,HO-SSA,MOTSWAOなどの既存の方法と比較して,製造幅 (最大51.2%) と平均資源利用率 (最大26.3%) で有意な改善を示した.
- このモデルはシステムの信頼性を高め,QoSパラメータを最適化します.
結論:
- 提案されたCRFTSモデルは,クラウドタスクスケジューリングと故障耐性の課題を効果的に解決します.
- CRFTSは,クラウドのパフォーマンス,リソース利用,およびサービスの信頼性を最適化するための堅牢なソリューションを提供します.
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