A Hybrid Processing System for Large-Scale Traffic Sensor Data
نویسندگان
چکیده
منابع مشابه
Active Disks for Large-Scale Data Processing
A s processor performance increases and memory cost decreases, system intelligence continues to move away from the CPU and into peripherals. Storage system designers use this trend toward excess computing power to perform more complex processing and optimizations inside storage devices. To date, such optimizations take place at relatively low levels of the storage protocol. Trends in storage de...
متن کاملA HYBRID MODIFIED GENETIC-NELDER MEAD SIMPLEX ALGORITHM FOR LARGE-SCALE TRUSS OPTIMIZATION
In this paper a hybrid algorithm based on exploration power of the Genetic algorithms and exploitation capability of Nelder Mead simplex is presented for global optimization of multi-variable functions. Some modifications are imposed on genetic algorithm to improve its capability and efficiency while being hybridized with Simplex method. Benchmark test examples of structural optimization with a...
متن کاملData processing on a large scale
Within the last decade the high costs and complexity of Next Generation Sequencing (NGS) data organization put pressure on NGS data centres to organize convenient IT service infrastructures for automatic data management, processing and analyses. Our market analysis showed that existing applications processing NGS data were insufficiently documented, not extensible or strongly dependent on the u...
متن کاملProbabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set
Real-world sensor time series are often significantly noisier and more difficult to work with than the relatively clean data sets that tend to be used as the basis for experiments in many research papers. In this paper we report on a large case-study involving statistical data mining of over 100 million measurements from 1700 freeway traffic sensors over a period of seven months in Southern Cal...
متن کاملHybrid Cloud Support for Large Scale Analytics and Web Processing
Platform-as-a-service (PaaS) systems, such as Google App Engine (GAE), simplify web application development and cloud deployment by providing developers with complete software stacks: runtime systems and scalable services accessible from well-defined APIs. Extant PaaS offerings are designed and specialized to support large numbers of concurrently executing web applications (multi-tier programs ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2015
ISSN: 2169-3536
DOI: 10.1109/access.2015.2500258