Exploratory Search of Web Data Services (Short Paper)

Author(s):  
Devis Bianchini ◽  
Valeria De Antonellis ◽  
Michele Melchiori
Author(s):  
Devis Bianchini ◽  
Valeria De Antonellis ◽  
Michele Melchiori

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1204
Author(s):  
Jinhwa Jung ◽  
Donghyeok An

Internet traffic is experiencing rapid growth, with the majority of traffic generated from video steaming, web data services and Internet of Things. As these services include the transmission of small data, such as web pages, video chunks and sensing data, data latency affects the quality of experience rather than the throughput. Therefore, this study aims to decrease latency to improve the quality of the user experience. To this end, we measure the web service delay and throughput in mobile networks. The results indicate a low quality experience for mobile users, even though mobile networks support a large throughput. We therefore propose a light-weight latency reduction scheme for the Quick UDP Internet Connections (QUIC) protocol. The proposed scheme calculates the average congestion window, which is utilized as the initial congestion window when a new connection is established. The proposed scheme is evaluated through experiments on a testbed. The results show that our scheme reduces latency significantly. The results of this study can help improve user experiences of video streaming and web data services.


2013 ◽  
Vol 7 (4) ◽  
pp. 1-33 ◽  
Author(s):  
Silvia Quarteroni ◽  
Marco Brambilla ◽  
Stefano Ceri
Keyword(s):  
Web Data ◽  

2013 ◽  
Vol 22 (5) ◽  
pp. 641-663 ◽  
Author(s):  
Alessandro Bozzon ◽  
Marco Brambilla ◽  
Stefano Ceri ◽  
Davide Mazza

2020 ◽  
Vol 17 (4) ◽  
pp. 1-14
Author(s):  
Abdelhamid Malki ◽  
Sidi Mohammed Benslimane ◽  
Mimoun Malki

Data mashups are web applications that combine complementary (raw) data pieces from different data services or web data APIs to provide value added information to users. They became so popular over the last few years; their applications are numerous and vary from addressing transient business needs in modern enterprises. Even though data mashups have been the focus of many research works, they still face many challenging issues that have never been explored. The ranking of the data returned by a data mashup is one of the key issues that have received little consideration. Top-k query model ranks the pertinent answers according to a given ranking function and returns only the best results. This paper proposes two algorithms that optimize the evaluation of top-k queries over data mashups. These algorithms are built based on the web data APIs' access methods: bind probe and indexed probe.


Author(s):  
Jiangning Cui ◽  
Taoying Liu ◽  
Qian Chen ◽  
Hong Liu
Keyword(s):  
Web Data ◽  

Author(s):  
Patrick Echlin

The unusual title of this short paper and its accompanying tutorial is deliberate, because the intent is to investigate the effectiveness of low temperature microscopy and analysis as one of the more significant elements of the less interventionist procedures we can use to prepare, examine and analyse hydrated and organic materials in high energy beam instruments. The promises offered by all these procedures are well rehearsed and the litany of petitions and responses may be enunciated in the following mantra.Vitrified water can form the perfect embedding medium for bio-organic samples.Frozen samples provide an important, but not exclusive, milieu for the in situ sub-cellular analysis of the dissolved ions and electrolytes whose activities are central to living processes.The rapid conversion of liquids to solids provides a means of arresting dynamic processes and permits resolution of the time resolved interactions between water and suspended and dissolved materials.The low temperature environment necessary for cryomicroscopy and analysis, diminish, but alas do not prevent, the deleterious side effects of ionizing radiation.Sample contamination is virtually eliminated.


Sign in / Sign up

Export Citation Format

Share Document