Zobrazeno 1 - 10
of 314
pro vyhledávání: '"WANCHUN DOU"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-15 (2024)
Abstract Mobile edge computing (MEC) is a novel computing paradigm that pushes computation and storage resources to the edge of the network. The interconnection of edge servers forms small-scale data centers, enabling MEC to provide low-latency netwo
Externí odkaz:
https://doaj.org/article/6e0696d492684b18a59953d95e6b5916
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-15 (2024)
Abstract Traditional delivery route planning faces challenges in reducing logistics costs and improving customer satisfaction with growing customer demand and complex road traffic, especially in uncertain supply chain environment. To address these ch
Externí odkaz:
https://doaj.org/article/c8117692512c44a795c656d73330e47f
Publikováno v:
Sensors, Vol 24, Iss 4, p 1261 (2024)
Traffic congestion prediction has become an indispensable component of an intelligent transport system. However, one limitation of the existing methods is that they treat the effects of spatio-temporal correlations on traffic prediction as invariable
Externí odkaz:
https://doaj.org/article/bbf188e5ea9c4ad2af1d5eb5076aca38
Publikováno v:
IEEE Access, Vol 7, Pp 35645-35660 (2019)
Multi-tenant service-oriented systems (SOSs) have become a major software engineering paradigm in the cloud environment. Instead of serving a single end-user, a multi-tenant SOS provides multiple tenants with similar and yet customized functionalitie
Externí odkaz:
https://doaj.org/article/4276de2e2cc0496b9bdf45c11d84d5a2
Publikováno v:
IEEE Access, Vol 7, Pp 46637-46645 (2019)
Memory-based collaborative filtering (i.e., MCF) is regarded as an effective technique to recommend appropriate services to target users. However, if recommendation data are very sparse in the edge environment, traditional MCF-based recommendation me
Externí odkaz:
https://doaj.org/article/2bcfb7e2818e44a3b95fd965f7641a61
Publikováno v:
Online Learning, Vol 24, Iss 1 (2020)
Modern internet technologies have revolutionized the traditional education by providing flexible and resourceful e-learning opportunities in all the fields of knowledge. Programming constitutes integral part of undergraduate curriculum in computer sc
Externí odkaz:
https://doaj.org/article/d742698cf745481a9d04159c6a325850
Publikováno v:
IEEE Access, Vol 6, Pp 46926-46937 (2018)
The continuous growth of mobile devices in recent years has created a variety of opportunities for people to utilize the crowdsourcing technique to execute various intelligent computing and processing tasks, e.g., electricity load forecasting. Howeve
Externí odkaz:
https://doaj.org/article/c14582627b0c40b186d8a7532909581d
Publikováno v:
IEEE Access, Vol 6, Pp 59462-59474 (2018)
With the dramatic growth of public cloud offerings and heterogeneous data information, how to discover potentially valuable information from big history behavior data and design intelligent recommendation techniques has become more and more important
Externí odkaz:
https://doaj.org/article/ac10ff98a13647a7a612f95444d1b527
Publikováno v:
Complexity, Vol 2017 (2017)
With the increasing volume of web services in the cloud environment, Collaborative Filtering- (CF-) based service recommendation has become one of the most effective techniques to alleviate the heavy burden on the service selection decisions of a tar
Externí odkaz:
https://doaj.org/article/9cb2313915094109a5bcf28cfce239a2
Publikováno v:
Sensors, Vol 18, Iss 7, p 2037 (2018)
Service recommendation has become an effective way to quickly extract insightful information from massive data. However, in the cloud environment, the quality of service (QoS) data used to make recommendation decisions are often monitored by distribu
Externí odkaz:
https://doaj.org/article/ac22eaeacc2b48f8883dab5504499d47