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題 名 | 分散式運算技術應用於移動式感測器資料處理分析之初探 |
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作 者 | 周天穎; | 書刊名 | 國土資訊系統通訊 |
卷 期 | 85 2013.03[民102.03] |
頁 次 | 頁2-9 |
專 輯 | 感測網路與GIS |
分類號 | 471.3 |
關鍵詞 | 分散式運算; 移動式感測器; 空間資訊技術; |
語 文 | 中文(Chinese) |
中文摘要 | 近年來利用各種可見光、多光譜、光達等移動式感測器,掛載於行動載具( 車、 飛機或船) 來獲取高解析度空間資訊之技術迅速普及,若採用過去傳統的電腦系統 架構分析空間資訊將耗費大量時間,無法在短時間內提供決策者有用的分析資訊。本 文所介紹分散式運算技術即為這個問題提供了一個解決的方案,以相應的空間資料基 礎設施(Spatial Data Infrastructure; SDI) 以及有效率地處理大量資料的方法, 以應付如此巨量的空間資訊資料。分散式運算除了在經濟效益面可以降低成本,在學 術上更看重其分散式運算處理巨量資料的能力。 綜觀國內空間資訊科學領域之發展以及OGC (Open Geospatial Consortium) 的 空間資料交換標準也逐漸普及,雲端運算目前也是政府與多個學術研究單位在推行的 產業。在商業的應用上,如Google 等企業,以及GIS 領域Digital Globe 與GeoEye 等衛星公司,為能快速度取得資料也都推出自有雲端服務。有鑑於國內目前於巨量 GIS 資料處理的研究較少,對於如何將移動式感測器資料處理服務納入雲端運算的架 構,將是未來必須要投注更大心力去探討的議題。 |
英文摘要 | A variety of mobile sensors, such as visible light, multispectral detector, and LiDAR facilities have been widely applied by mobile vehicles, airplanes, ships to obtain high resolution spatial information remotely. On the contrary, it consumes extra cost, time and energy to analyze spatial data based on traditional ground information collecting facilities, which no longer can support useful analytical information for decision-makers efficiently. This paper is to introduce the solution of the distributed computing technology to efficiently process the mega amounts of data based on spatial data infrastructure (SDI) by remotely sensors facilities. The distributed computing technology not only reduces the cost from the economic point of view, but also demonstrates the capabilities to process big data information in high efficiency. The nationwide GIS development strategies to adopt global OGC standards are becoming more common to apply in recent years. Cloud computing is also currently one of the hot issues among information technology fields. Cloud computing has been implemented by many governmental agencies,as well as academic research institutes and private enterprises. Several major information providing companies, such as, Google, Digital Globe, GeoEye …etc. have launched the commercial applications, which quickly obtain information and provide alternative services. Because of the lack of domestic researches related to a massive amount of GIS data processing, this paper aims to explore how mobile sensor information collecting and processing services can be integrated into the cloud computing architecture. |
本系統中英文摘要資訊取自各篇刊載內容。