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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 …
proposed for the distributed resource constrained multi-project scheduling problem …
Cloud task scheduling for load balancing based on intelligent strategy
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 …
interconnected and virtual computers. With the increasing demand and benefits of cloud …
Fuzzy-based security-driven optimistic scheduling of scientific workflows in cloud computing
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 …
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
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 …
service model, would want to minimize rental costs while meeting users' computing needs …
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 …
(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 …
runtime, meaning that tasks' real execution time are different from their given or evaluated …
[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 …
rationality to guarantee maximum payoffs at all nodes/stages/levels. Rationality and …
Dispatcher I-queue optimization in Join-Idle-Queue algorithm for improved load balancing in cloud computing
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 …
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 …
systems encourages researchers to investigate its benefits and drawbacks on executing …
Multi criteria based task scheduling in cloud environment
Cloud computing is a type of distributed system that consists of a collection of interconnected
and virtualized computers which are dynamically provisioned based on user requests. One …
and virtualized computers which are dynamically provisioned based on user requests. One …