就像物理的浪费和垃圾，有害的和没用的数据会降低性能和存储能力，并且要求昂贵的处理能力，从而污染了我们的数字环境。
Like physical waste and trash, unwanted and unused data also pollutes the digital environment by degrading the performance and capacity of storage systems and requiring costly disposal.
性能表现为很多方面，但是在用户与远程云存储提供商之间移动数据的能力是云存储最大的挑战。
There are many aspects to performance, but the ability to move data between a user and a remote cloud storage provider represents the largest challenge to cloud storage.
为了提高嵌入式多媒体应用的实时性能，提出了一种最大化数据并行访问以便充分发挥CPU处理能力的片上存储器分配方法。
A memory allocation algorithm was developed to maximize parallel data access and make full use of CPU processing ability to improve real-time performance of embedded multimedia applications.
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