A survey on scheduling techniques in computing and network convergence

S Tang, Y Yu, H Wang, G Wang, W Chen… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

Region aware dynamic task scheduling and resource virtualization for load balancing in IoT–fog multi-cloud environment

AB Kanbar, K Faraj - Future Generation Computer Systems, 2022 - Elsevier
Cloud computing is an emerging technology for a large-scale environment. Hence it faces
many challenges in which the main problem of cloud computing is load balancing which …

Job scheduling for big data analytical applications in clouds: A taxonomy study

Y Kang, L Pan, S Liu - Future Generation Computer Systems, 2022 - Elsevier
Cloud environments have provided great help for the development of big data. Today, cloud
environments have become the most active platform for big data analysis applications …

Joint workload scheduling in geo-distributed data centers considering UPS power losses

G Ye, F Gao, J Fang, Q Zhang - IEEE Transactions on Industry …, 2022 - ieeexplore.ieee.org
Recent years have witnessed the rapid growth in the electricity consumption of internet data
centers (IDC) and consequently their high operational cost. Fortunately, geo-distributed …

Management of geo-distributed intelligence: Deep insight as a service (DINSaaS) on forged cloud platforms (FCP)

K Kuru - Journal of Parallel and Distributed Computing, 2021 - Elsevier
The recent advances in the cyber–physical domains, cloud and edge platforms along with
the advanced communication technologies play a crucial role in connecting the globe more …

Adaptive priority-based data placement and multi-task scheduling in geo-distributed cloud systems

C Li, J Liu, W Li, Y Luo - Knowledge-Based Systems, 2021 - Elsevier
With the rapid development and the widespread use of cloud computing in various
applications, the number of users distributed in different regions has grown exponentially …

Web Technology Grounded Effects of Task Scheduling in Distributed and Cloud Systems

HR Ismael, LM Abdulrahman, ZN Rashid… - Journal of Smart Internet …, 2023 - sciendo.com
One definition of the word" distributed system" describes it as" a set of entities that
collaborate in order to find a solution to a problem that cannot be solved by a single entity …

Constraint-driven complexity-aware data science workflow for AutoBDA

A Siriweera, I Paik, H Huang - IEEE Transactions on Big Data, 2023 - ieeexplore.ieee.org
The Internet of Things, privacy, and technical constraints increase the demand for edge-
based data-driven services, which is one of the major goals of Industry 4.0 and Society 5.0 …

RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing

F Yao, Q Tao, W Yu, Y Zhang, S Gong… - Proceedings of the …, 2023 - dl.acm.org
In many global businesses of multinational enterprises, graph-structure data is usually
geographically distributed in different regions to support low-latency services. Geo …

[HTML][HTML] A survey on bandwidth-aware geo-distributed frameworks for big-data analytics

M Bergui, S Najah, NS Nikolov - Journal of Big Data, 2021 - Springer
In the era of global-scale services, organisations produce huge volumes of data, often
distributed across multiple data centres, separated by vast geographical distances. While …