10 papers
Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
Leszek Sliwko, Jolanta Mizeria-Pietraszko
Cluster workload allocation often requires complex configurations, creating a usability gap. This paper introduces a semantic, intent-driven scheduling paradigm for cluster systems…
A Meta-Heuristic Load Balancer for Cloud Computing Systems
Leszek Sliwko, Vladimir Getov
This paper presents a strategy to allocate services on a Cloud system without overloading nodes and maintaining the system stability with minimum cost. We specify an abstract model…
A novel strategy for multi-resource load balancing in agent-based systems
Leszek Sliwko, Aleksander Zgrzywa
The paper presents a multi-resource load balancing strategy which can be utilised within an agent-based system. This approach can assist system designers in their attempts to optim…
Workload Schedulers -- Genesis, Algorithms and Differences
Leszek Sliwko, Vladimir Getov
This paper presents a novel approach to categorization of modern workload schedulers. We provide descriptions of three classes of schedulers: Operating Systems Process Schedulers,…
A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing
Leszek Sliwko
This paper presents a reinforced genetic approach to a defined d-resource system optimization problem. The classical evolution schema was ineffective due to a very strict feasibili…
AGOCS -- Accurate Google Cloud Simulator Framework
Leszek Sliwko, Vladimir Getov
This paper presents the Accurate Google Cloud Simulator (AGOCS) - a novel high-fidelity Cloud workload simulator based on parsing real workload traces, which can be conveniently us…