Titlebook: Network and Parallel Computing; 14th IFIP WG 10.3 In Xuanhua Shi,Hong An,Hai Jin Conference proceedings 2017 IFIP International Federation

敲詐

Quantifying the Isolation Characteristics in Container Environments,solation between containers is becoming a significant challenge, especially in terms of network throughput and disk I/O. In traditional VM environments, the performance isolation is often calculated based on performance loss ratio. In container environments, the performance loss of well-behaved cont

令人不快

CSAS: Cost-Based Storage Auto-Selection, a Fine Grained Storage Selection Mechanism for Spark,e levels to put cache RDDs. However, the RDD-grained manual storage level selection mechanism can not adjust depending on computing resources of the node. In this paper, we firstly present a fine-grained automatic storage level selection mechanism. And then we provide a storage level for a partition

集聚成團(tuán)

不滿分子

Baolin Sun,Chao Gui,Ying Song,Hua Chenwledge required to interpret the information. Operators that monitor vessel movements may be supported by systems that help them to identify abnormal behaviors and events. The uncertain nature of some aspects of the maritime domain (e.g., weather predictions), suggests the use of statistical compute

thwart

Zhen Guo,Wenbin Yao,Dongbin Wange naval domain is to avoid collisions, therefore they contain kinematic information about ships. Moreover, AIS messages contain information like the ship name and its identifiers, so AIS messages can be used to identify ships. However, since the information contained in these messages is not necessa

HEPA-filter

MAIZE

持久

Thyroiditis

Xi Yang,Jian Caorecognition, i.e. deriving actionable insights from heterogeThis book presents a framework for converting multitudes of data streams available today including weather patterns, stock prices, social media, traffic information, and disease incidents into actionable insights based on situation recognit

膽小懦夫

Tan Zhang,Chaobing Zhou,Libo Huang,Nong Xiao,Sheng Marecognition, i.e. deriving actionable insights from heterogeThis book presents a framework for converting multitudes of data streams available today including weather patterns, stock prices, social media, traffic information, and disease incidents into actionable insights based on situation recognit