Titlebook: Algorithmic Aspects of Cloud Computing; 5th International Sy Ivona Brandic,Thiago A. L. Genez,Rizos Sakellariou Conference proceedings 2020

交響樂

https://doi.org/10.1007/978-3-030-58628-7architecture types; artificial intelligence; big data; cloud computing; cloud services; computer networks

Fretful

prostate-gland

積云

Scalable and Hierarchical Distributed Data Structures for Efficient Big Data Management,In this work, we survey state of the art hierarchical distributed data structures for the efficient handling of big data, in scenarios where the dominant operation is range queries which have to be answered in real-time. Our main focus is on structures that exhibit stable scalability.

Substitution

Algorithmic Aspects of Cloud Computing978-3-030-58628-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

自制

Density Functionals: Theory and Applicationscts. Setting up smart services and applications that would support the building process is on the wish list of every construction company. Such applications, however, have time-critical requirements that must be addressed in the application designing process. There are four broad types of converging

CLAIM

Relativistic density functional theory, been developed for capturing the mood of social media users related to a specific topic of interest. This paper shows how to use a cloud-based algorithm aimed at discovering the polarization of social media users in relation to political events characterized by the rivalry of different factions. Th

調(diào)整

On the Diagonal N-Representability Problem,on. For sensors, the data flow is from the physical devices to the cloud. The IoT edge device is responsible for collecting this data and forwarding it to the cloud environment for processing. The time it takes for the data to be made available for processing in the cloud is critical, and the networ

陶醉

Density Matrix Theory and Applicationsdevices at the network edge. It is a characteristic of the target environment that both, the infrastructure to be monitored and the hosts where the monitoring system runs, change over time, and network partitions may happen. The proposed monitoring system is decentralized, and monitoring servers coo

COLON

https://doi.org/10.1007/978-1-4757-4931-1the use of the cloud, IoT networks present new challenges because the ever growing number of IoT devices increases the latency of transferring data to central cloud data centers. Edge and fog computing represent practical solutions to counter the huge communication needs between IoT devices and the