A multi-agent system for distributed multi-project scheduling with two-stage decomposition

F Li, Z Xu - PloS one, 2018 - journals.plos.org
A two-stage decomposition approach based on a novel multi-agent system (MAS) is
proposed for the distributed resource constrained multi-project scheduling problem …

Cloud task scheduling for load balancing based on intelligent strategy

AE Keshk, AB El-Sisi… - International Journal of …, 2014 - search.proquest.com
Cloud computing is a type of parallel and distributed system consisting of a collection of
interconnected and virtual computers. With the increasing demand and benefits of cloud …

Fuzzy-based security-driven optimistic scheduling of scientific workflows in cloud computing

J Angela Jennifa Sujana, T Revathi… - IETE Journal of …, 2020 - Taylor & Francis
Cloud computing is a new computing paradigm which is gaining wide acceptance among
scientific fraternity in the recent years. The services of cloud could be effectively used for …

Cost-efficient coordinated scheduling for leasing cloud resources on hybrid workloads

J Li, S Su, X Cheng, M Song, L Ma, J Wang - Parallel Computing, 2015 - Elsevier
Cloud service providers, leasing resources from cloud vendors under the pay-per-use
service model, would want to minimize rental costs while meeting users' computing needs …

[HTML][HTML] Game of strokes: Optimal & conversion strategy algorithms with simulations & application

DI Okorie, JM Gnatchiglo - Heliyon, 2023 - cell.com
Strategic decision-making for sequential move games requires rationality and continuity of
rationality to guarantee maximum payoffs at all nodes/stages/levels. Rationality and …

Mixed scheduling with heterogeneous delay constraints in cyber-physical systems

B Shen, X Zhou, M Kim - Future Generation Computer Systems, 2016 - Elsevier
The physical space and the cyber space are deeply coupled in Cyber-Physical Systems
(CPS). The traffic flows are constrained by heterogeneous delay constraints. In order to …

A dynamic resource allocation and task scheduling strategy with uncertain task runtime on IaaS clouds

S Liu, K Ren, K Deng, J Song - 2016 Sixth International …, 2016 - ieeexplore.ieee.org
Performing scientific workflows on IaaS cloud may face the problem of uncertain task
runtime, meaning that tasks' real execution time are different from their given or evaluated …

Dispatcher I-queue optimization in Join-Idle-Queue algorithm for improved load balancing in cloud computing

P Goswami, S Narang, A Jain - Journal of applied research and …, 2023 - scielo.org.mx
Objectives Modern data centers serving web and mobile applications employ distributed
load balancers. The Join Idle Queue (JIQ) algorithm is ideally suited for load balancing in a …

Scheduling deadline-constrained scientific workflow using chemical reaction optimisation algorithm in clouds

C Yan, H Luo, Z Hu - International Journal of Embedded …, 2018 - inderscienceonline.com
The advent of cloud computing as a new model of service provisioning in distributed
systems encourages researchers to investigate its benefits and drawbacks on executing …

An adversarial search method based on an iterative optimal strategy

C Liu, J Yan, Y Ma, T Zhao, Q Zhang, X Wei - Mathematics, 2020 - mdpi.com
A deeper game-tree search can yield a higher decision quality in a heuristic minimax
algorithm. However, exceptions can occur as a result of pathological nodes, which are …