most citedA Meta-Heuristic Load Balancer for Cloud Computing Systems

5 citations · 11 across the 6 of their papers we have counts for

collaborators

8 papers

cs.DC20255 cited

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…

cs.MA2025

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…

cs.DC2025

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,…

cs.DC2025

A Taxonomy of Schedulers -- Operating Systems, Clusters and Big Data Frameworks

Leszek Sliwko

This review analyzes deployed and actively used workload schedulers' solutions and presents a taxonomy in which those systems are divided into several hierarchical groups based on…

cs.DC2025

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…

cs.DC2025

Intelligent Load Balancing in Cloud Computer Systems

Leszek Sliwko

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual server…