A WOA-based optimization approach for task scheduling in cloud computing systems
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 …
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
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 …
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
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 …
To enhance data availability, replication is a common approach to handle the machine …
Flowcon: Elastic flow configuration for containerized deep learning applications
An increasing number of companies are using data analytics to improve their products,
services, and business processes. However, learning knowledge effectively from massive …
services, and business processes. However, learning knowledge effectively from massive …
[PDF][PDF] Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications.
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
violation rate are important to the cloud provider for high profit. For this purpose, recently …