他跳槽到 Google 之後, 對產學研究環境和研發模式似乎很有興趣, 常常在他的 Blog 上討論. 例如 The death of Intel Labs and what it means for industrial research
前幾天他又寫了一篇 How can academics do research on cloud computing?
John Wilkes made the point that that he never wanted to see another paper submission showing a 10% performance improvement in Hadoop, and he's right -- this is not the right problem for academics to be working on. Not because 10% improvement is not useful, or that Hadoop is a bad platform, but because those kinds of problems are already being solved by industry.之前在和韓老師合作時, 就 survey 過相關的問題. 要研究所謂的 cloud computing 或者 distributed data center 所需要投資的基礎建設實在很大. 對台灣的學校來說根本是不可能的. 除了 Scale 過大以外, 就算聯合建立起這樣的系統, 又如何有效的共用這個系統? 做一些理論性的探討, 在這樣的領域有多大的意義? 畢竟架構和解決方案都在快速的演進中....今年討論的模型明年可能就不適用了....
沒有留言:
張貼留言