Realizing dynamic resource orchestration on cloud systems in the cloud-to-edge continuum

T Yeh, S Yu - Journal of Parallel and Distributed Computing, 2022 - Elsevier
Cloud computing has been widely utilized to handle the huge volume of data from many
cutting-edge research areas such as Big Data and Internet of Things (IoT). The fast growing …

Realizing integrated prioritized service in the Hadoop cloud system

T Yeh, H Huang - Future Generation Computer Systems, 2019 - Elsevier
Cloud computing has profoundly influenced how people receive IT services nowadays. As
the cloud offers more and more services to users, the Quality of Service (QoS) in cloud has …

A Developed Task Allotments Policy for Apache Hadoop Executing in the Public Clouds

N Deshai, RS Shankar, K Sravani… - … Conference on System …, 2019 - ieeexplore.ieee.org
Presently, data-intensive obstacles signify too common from infinite organizations in diverse
trades have to challenge them in their business performance and computations. It is usually …

[PDF][PDF] Mrorchestrator: A fine-grained resource orchestration framework for hadoop mapreduce

B Sharma, R Prabhakar, S Lim, MT Kandemir, CR Das - 2012 - academia.edu
Efficient resource management in data centers and clouds running large distributed data
processing frameworks like Hadoop is crucial for enhancing the performance of hosted …

Improving Hadoop performance in intercloud environments

S Kim, J Won, H Han, H Eom, HY Yeom - ACM SIGMETRICS …, 2011 - dl.acm.org
Intercloud is a federated environment of private clusters and public clouds. The performance
of Hadoop could be degraded significantly in intercloud environments. Because previous …

ALBERT: an automatic learning based execution and resource management system for optimizing Hadoop workload in clouds

CC Chen, KS Wang, YT Hsiao, J Chou - Journal of Parallel and Distributed …, 2022 - Elsevier
Hadoop is a popular computing framework designed to deliver timely and cost-effective data
processing on a large cluster of commodity machines. It relieves the burden of the …

Preemptive cloud resource allocation modeling of processing jobs

S Vakilinia, M Cheriet - The Journal of Supercomputing, 2018 - Springer
Cloud computing allows execution and deployment of different types of applications such as
interactive databases or web-based services which require distinctive types of resources …

An improved task assignment scheme for Hadoop running in the clouds

W Dai, M Bassiouni - Journal of Cloud Computing: Advances, Systems and …, 2013 - Springer
Nowadays, data-intensive problems are so prevalent that numerous organizations in various
industries have to face them in their business operation. It is often crucial for enterprises to …

InSTechAH: Cost-effectively autoscaling smart computing hadoop cluster in private cloud

Z Lu, X Wang, J Wu, PCK Hung - Journal of Systems Architecture, 2017 - Elsevier
Report shows that in many cloud data centers, computing resources are not used efficiently
and thereby cause resource waste. In many cloud nodes, the utilization rate of CPU is only …

Flexslot: Moving hadoop into the cloud with flexible slot management

Y Guo, J Rao, C Jiang, X Zhou - SC'14: Proceedings of the …, 2014 - ieeexplore.ieee.org
Load imbalance is a major source of overhead in Hadoop where the uneven distribution of
input data among tasks can significantly delays the job completion. Running Hadoop in a …