A Decentralized Algorithm to Revisit the Debate of Centralization and Decentralization Approaches for Cloud Scheduling

Cheikhou Thiam (1, 2) , Georges da Costa (2, 3) , Jean-Marc Pierson (2)

1 UIDT - Université Iba Der Thiam [Thiès]
2 IRIT-SEPIA - Système d’exploitation, systèmes répartis, de l’intergiciel à l’architecture
3 UT3 - Université Toulouse III - Paul Sabatier

In Cloud Computing, scheduling jobs is a major and difficult issue. The main objectives of cloud services providers are the efficient use of their computing resources. Existing cloud management systems are mostly based on centralized architectures and energy management mechanisms are suffering several limitations. To address these limitations, our contribution is to design, implement, and evaluate a novel cloud management system which provides a holistic energy-efficient VM management solution by integrating advanced VM management mechanisms such as underload mitigation, VM consolidation, and power management. In this paper, we introduce a distributed task scheduling algorithm for Clouds that enables to schedule VMs cooperatively and dynamically inside a federation of clouds. We evaluated our prototype through simulations, to compare our decentralized approach with a centralized one. Our results showed that the proposed scheduler is very reactive.

Mots clés: Cloud federation; Migration; Energy; Heuristic; Virtual machines

Domaines: Réseaux et télécommunications [cs.NI]; Système d'exploitation [cs.OS]; Architectures Matérielles [cs.AR]; Systèmes embarqués

Cheikhou Thiam, Georges da Costa, Jean-Marc Pierson. A Decentralized Algorithm to Revisit the Debate of Centralization and Decentralization Approaches for Cloud Scheduling. 7th International Conference on Smart Grids and Green IT Systems (SMARTGREENS 2018), Mar 2018, Funchal, Madeira, Portugal. pp.165-172. ⟨hal-02316865⟩