Location mapping for constructing biomass power plant using multi-criteria decision-making method

B Zhao, H Wang, Z Huang, Q Sun - Sustainable Energy Technologies and …, 2022 - Elsevier
The use of renewable energy globally has shown to be one of the most promising strategies
to move towards sustainable development. Biomass has become one of the world's most …

Multi-objective optimization of data deployment and scheduling based on the minimum cost in geo-distributed cloud

T Xie, C Li, N Hao, Y Luo - Computer Communications, 2022 - Elsevier
Nowadays, the amount of data coming from terminal devices is increasing on a vast scale.
Data centers in different geographical locations store vast amounts of data. In this paper, to …

[Retracted] Cloud Computing to Tourism Economic Data Scheduling Algorithm under the Background of Image and Video

H Zhang, Y Feng, L Wang - Computational Intelligence and …, 2022 - Wiley Online Library
With the rapid development of image video and tourism economy, tourism economic data
are gradually becoming big data. Therefore, how to schedule between data has become a …

An improved Q-learning-based scheduling strategy with load balancing for infrastructure-based cloud services

SPM Ziyath, S Subramaniyan - Arabian Journal for Science and …, 2022 - Springer
Cloud computing provides computing resources on demand of users without their direct
management. In this cloud paradigm, scheduling the tasks and allocating the resources …

Task Scheduling for Spark Applications With Data Affinity on Heterogeneous Clusters

X Zhang, X Li, H Du, R Ruiz - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT)-enabled applications use sensors and actuators to collect big
data, which are processed by big data models, eg, Spark. Generally, data processing tasks …

An open-source simulation platform for benchmarking geo-distributed data center schedulers

D Alves, K Obraczka, A Kabbani - SIMULATION, 2022 - journals.sagepub.com
To help meet the ever-increasing demand for cloud computing services and resources
worldwide, while providing resilience and adequate resource utilization, cloud service …

Construction and Empirical Analysis of College Students' Job Satisfaction Index Model Using Artificial Intelligence

L Jia - International Journal of Technology and Human …, 2022 - igi-global.com
Employers' feedback on new college graduates' performance is a crucial piece of
information that schools must consider to identify the relevance and responsiveness of their …

[图书][B] Exploring Adaptive Job Schedulers for Geographically Distributed Data Centers

DSF Alves - 2022 - search.proquest.com
To help meet the ever increasing demand for cloud computing services worldwide, while
providing resilience and adequate resource utilization, cloud service providers have opted …

Exploring Adaptive Job Schedulers for Geographically Distributed Data Centers

D Santos Ferreira Alves - 2022 - escholarship.org
To help meet the ever increasing demand for cloud computing services worldwide, while
providing resilience and adequate resource utilization, cloud service providers have opted …

Harmony: Exploring Stage Execution and Data Locality in Geo-Distributed Data Processing

Z Han - 2022 - search.proquest.com
Datacenters operated by large companies are increasingly becoming geo-distributed to
provide services for users in different regions and as a result generate massive data across …