A WOA-based optimization approach for task scheduling in cloud computing systems

X Chen, L Cheng, C Liu, Q Liu, J Liu, Y Mao… - IEEE Systems …, 2020 - ieeexplore.ieee.org
Task scheduling in cloud computing can directly affect the resource usage and operational
cost of a system. To improve the efficiency of task executions in a cloud, various …

[HTML][HTML] Resource-aware multi-task offloading and dependency-aware scheduling for integrated edge-enabled IoV

U Awada, J Zhang, S Chen, S Li, S Yang - Journal of Systems Architecture, 2023 - Elsevier
Abstract Internet of Vehicles (IoV) enables a wealth of modern vehicular applications, such
as pedestrian detection, real-time video analytics, etc., that can help to improve traffic …

A low-cost multi-failure resilient replication scheme for high-data availability in cloud storage

J Liu, H Shen, H Chi, HS Narman… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Data availability is one of the most important performance factors in cloud storage systems.
To enhance data availability, replication is a common approach to handle the machine …

Flowcon: Elastic flow configuration for containerized deep learning applications

W Zheng, M Tynes, H Gorelick, Y Mao… - Proceedings of the 48th …, 2019 - dl.acm.org
An increasing number of companies are using data analytics to improve their products,
services, and business processes. However, learning knowledge effectively from massive …

[PDF][PDF] Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications.

P Gupta, S Bhagat, DK Saini, A Kumar… - … Materials & Continua, 2022 - cdn.techscience.cn
In the next generation of computing environment e-health care services depend on cloud
services. The Cloud computing environment provides a real-time computing environment for …

Learning-driven interference-aware workload parallelization for streaming applications in heterogeneous cluster

H Zhang, X Geng, H Ma - IEEE Transactions on Parallel and …, 2020 - ieeexplore.ieee.org
In the past few years, with the rapid development of CPU-GPU heterogeneous computing,
the issue of task scheduling in the heterogeneous cluster has attracted a great deal of …

Vision paper: Grand challenges in resilience: Autonomous system resilience through design and runtime measures

S Bagchi, V Aggarwal, S Chaterji… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
In this article, we put forward the substantial challenges in cyber resilience in the domain of
autonomous systems and outline foundational solutions to address these challenges. These …

Hybrid optimization model for secure task scheduling in cloud: combining seagull and black widow optimization

G Verma - Cybernetics and Systems, 2022 - Taylor & Francis
Task scheduling is the act of allocating tasks in a certain way to make the best use of the
resources at hand. Users of the service must make their demands online since cloud …

AirEdge: A dependency-aware multi-task orchestration in federated aerial computing

U Awada, J Zhang, S Chen, S Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Emerging edge computing (EC) systems are currently exploiting attaching portable edge
devices on drones for data processing close to the sources, to achieve high performance …

CORP: Cooperative opportunistic resource provisioning for short-lived jobs in cloud systems

J Liu, H Shen, L Chen - 2016 IEEE international conference on …, 2016 - ieeexplore.ieee.org
In cloud systems, achieving high resource utilization and low Service Level Objective (SLO)
violation rate are important to the cloud provider for high profit. For this purpose, recently …