本計畫結合了集中式與非集中式的特色，設計出了複合式架構，並以此架構建構智慧家庭 服務管理系統，在本計畫中，考慮了各種失效情況，並定義了在這些失效情況下，系統將 會如何處理。實驗結果顯示，若採用我們所提出的架構，在系統穩定運作的情況下，就算 軟體錯誤率高達 90%，系統仍有約 70% 的服務正常運作。
然而，本計畫目前提出的機制仍限制，首先，我們目前假設網路永遠不會中斷；第二，
我們聚焦在軟體的 fail-stop 狀況，也就是當元件失效時，該元件會停止運作並停止發送、
處理訊息，因此，我們未處理如硬體損壞或者拜占庭錯誤 (Byzantine failures) 等狀況；第 三，我們假設 BN 永遠不會失效，值得注意的是，此假設是為了在系統錯誤時可以通知使 用者手動重啟系統，若不考慮如何通知使用者，則 BN 的失效並不會影響系統的錯誤偵測 與回復；最後，由於重新啟動 Node 必須仰賴 PHM 及 Worker Node，因此，若有一台機 器的所有 PHM 及 Worker Node 皆失效，則該機器必須重啟。然而，從實驗結果可知，在 軟體錯誤率高達 80% 的狀況下，發生上述狀況的機率仍僅約 5%，真實環境並不會像實驗 環境一樣嚴苛，因此，系統需重啟的機率更低。
總之，此計畫期望可以在智慧家庭服務與日俱增的時代下，解決服務管理不易的問題，
並達到錯誤偵測及錯誤回復自動化，使智慧家庭系統易於使用及商品化。在未來，可以針 對數個部分做延伸與修改。首先，本研究僅考慮 fail-stop 狀況，若要解決如拜占庭錯誤 的 non-fail-stop 狀況，使錯誤偵測更加可靠，可以結合機器學習來作改進。第二，隨著如 Arduino Yun 及 Raspberry Pi 等計算設備發展，在 PerSAM 架構中的 PHM 不僅有 PC 可 以擔任，如何根據不同等級計算能力的設備改良服務模型也會是一個挑戰。第三，在本計 畫中，並沒有詳細定義 BN 與使用者之間的互動模式，如何設計一個直覺且易用的介面也 會是一個議題。第四，本研究的服務回復順序並未根據服務重要性作考量，舉例來說，安 全監控服務與使用者的生命安全有關，相較於智慧澆花服務來說，安全監控服務的重要性
更高，然而在本研究中，若一個安全監控服務與智慧澆花服務同時失效，安全監控服務的
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