證券市場商品種類、參與者及交易方式既多且複雜，在實際交易中，常形成系統尖峰負載，但硬體設備往往無法適時進行調配。本研究利用網格計算技術，提供一個在商業環境中可行及可用性的驗證。 驗證程序，首先建構網格計算環境，再者進行驗證項目測試，最後結論與建議。步驟先採IBM公司所提供中介軟體(Middleware)- IBM Grid ToolBox V3-進行測試，惟系統因軟、硬體版本問題無法安裝成功；再採用另一中介軟體-IBM WebSphere Extend(WebSphere XD)-多次調整軟、硬體版本後，建構完成測試環境。為測試不同廠牌之硬體是否可以在相同之網格環境中正常運作，分別採用IBM及HP各四部刀鋒伺服器為硬體架構。本研究測試驗證項目共計兩項，第一項測試網格技算解決硬體調配問題；第二項測試網格計算解決交易尖峰負載量問題。經測試驗證，第一項部份，分別以手動及自動之動態調整測試，WXD系統確實可依服務負載來動態調整可用Node來服務，亦即，網格技術可用來解決硬體調配問題。第二項部份，經模擬進行需長時間計算之批次工作(Batch Job)，觀察是否由多部主機同時分工運算完成整個計算工作，WXD系統確實可在系統部份Node失效後，其他Node仍可保持其服務之水準，與一般網路Load Balance設計，盲目的將服務負載導向存在之伺服器，在部份硬體失效後，可能會導致整體系統當掉之情形，驗證網格技術是較符合企業實務運作之要求。 / There are a lot of complicated type of merchandize, investors and trading methods on security market. It is often the prime cause of transaction peak load and hardware resource allocation problem. This research utilizes grid computing technology to offer a feasible and usable verification in business environment. The verification procedure, at first, build and construct the grid computing environment; moreover, the project is tested and conclusion and suggestion is made, finally. The step adopts IBM middleware, IBM Grid ToolBox V3, first. The system is unable to install successfully because of the edition question of the software and hardware. And then adopt another IBM middleware, IBM WebSphere Extend (WebSphere XD). After adjusting the software and hardware edition many times, we build and construct the testing environment. In order to test the different factories hardware that can normal operate in the same grid computing environment, this study adopts four server of IBM and HP respectively. There are two test items in this research. The first test wants to solve the allocation problem of hardware. The second test wants to solve the problem of transaction peak load. The first part, test with manual and automatic dynamic adjustment separately. We find WXD system can adjust idle Node dynamically in accordance with serve load. The second part, the test uses batch job which need to calculate for a long time and observe whether the whole calculation can finish by dividing the work operation for many host computers at the same time. We also prove that WXD system can really keep the level of its service while some Node systems lose efficiency. In a word, according to the traditional Load Balance design, system will lead its peak load to other server after some hardwares lose its efficiency, but it may cause the whole system to shot down. From this study, we prove that grid computing technology is comparatively conforms to the requirement of enterprise's practice operation.