ID 原文 译文
44936 最后，对未来研究方向进行了展望。 Finally, the promising future research directions were discussed.
44937 多机构身份及属性加密机制已经成为云计算等分布式环境下，实现云服务端数据共享的细粒度访问控制的一个研究热点。 Multi-Authority Identity-Based Encryption (IBE) and Attribute-Based Encryption (ABE) have become a popular research direction of fine-grained access control for encrypting out-sourced data in distributed environments such as cloud computing.
44938 在对基本身份及属性加密机制的构造和安全性研究的基础上， Firstly, systematic analysis on the construction and security of basic IBE and ABE was conducted.
44939 分别从层次分级和分布式 2 种架构方面，对现有多机构身份及属性加密机制的密钥管理、架构设计、加解密开销、安全性等难点问题，进行了深入探讨和综合对比分析。 Then, from the two aspects of hierarchical and decentralizing architecture, the research problems relating to Multi-Authority IBE and ABE were researched and discussed in depth, including key management, architecture,encryption overhead, decryption overhead and security with a comprehensive comparison of their functionality and performance.
44940 最后，总结了未来研究趋势以及开放性问题，并给出了一种新趋势的解决思路。 Finally, the future research trends and open issues were summarized, and a solution to the new trend was given.
44941 针对传统大数据流式计算平台节能策略并未考虑数据处理及传输的实时性问题，首先根据数据流处理的特点与 storm 集群的结构，建立有向无环图、实例并行度、任务资源分配与关键路径模型。 Focused on the problem that traditional energy-efficient strategies never consider about the real time of data processing and transmission, models of directed acyclic graph, parallelism of instance, resource allocation for task and critical path were set up based on the features of data stream processing and the structure of storm cluster.
44942 其次结合拓扑执行关键路径与系统性能的分析，提出一种 storm 平台下工作节点的内存电压调控节能策略(WNDVR-storm,energy-efficient strategy for work node by dram voltage regulation in storm)，该策略针对是否有工作节点位于拓扑执行的非关键路径上设计了 2 种节能算法。 Meanwhile, the WNDVR-storm (energy-efficient strategy for work node by dram voltage regulation in storm) was proposed according to the analysis of critical path and system performance, which included two energy-efficient algorithms aiming at whether there were any work nodes executing on the non-critical path of a topology.
44943 最后根据系统数据处理及传输的制约条件确定工作节点 CPU 使用率与数据传输量的阈值，并对选定的工作节点内存电压做出动态调整。 Finally, the appropriate threshold values fit for the CPU utilization of work node and the volume of transmitted data were determined based on the data processing and transmission constraints to dynamically regulate the DRAM voltage of the system.
44944 实验结果表明，该策略能有效降低能耗， The experimental result shows that the strategy can reduce energy consumption effectively.
44945 且制约条件越小节能效率越高。 Moreover, the fewer constraints are, the higher energy efficiency is.