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Vladimir Getov

Publications and source records attributed to Vladimir Getov.

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A Meta-Heuristic Load Balancer for Cloud Computing Systems

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 of cloud resources utilization, including multiple types of resources as well as considerations for the service migration costs. A prototype meta-heuristic load balancer is demonstrated and experimental results are presented and discussed. We also propose a novel genetic algorithm, where population is seeded with the outputs of other meta-heuristic algorithms.

cs.DC

Workload Schedulers -- Genesis, Algorithms and Differences

This paper presents a novel approach to categorization of modern workload schedulers. We provide descriptions of three classes of schedulers: Operating Systems Process Schedulers, Cluster Systems Jobs Schedulers and Big Data Schedulers. We describe their evolution from early adoptions to modern implementations, considering both the use and features of algorithms. In summary, we discuss differences between all presented classes of schedulers and discuss their chronological development. In conclusion we highlight similarities in the focus of scheduling strategies design, applicable to both local and distributed systems.

cs.DC

AGOCS -- Accurate Google Cloud Simulator Framework

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 used on a desktop machine for day-to-day research. Our simulation is based on real-world workload traces from a Google Cluster with 12.5K nodes, over a period of a calendar month. The framework is able to reveal very precise and detailed parameters of the executed jobs, tasks and nodes as well as to provide actual resource usage statistics. The system has been implemented in Scala language with focus on parallel execution and an easy-to-extend design concept. The paper presents the detailed structural framework for AGOCS and discusses our main design decisions, whilst also suggesting alternative and possibly performance enhancing future approaches. The framework is available via the Open Source GitHub repository.

cs.DC

Transaction-Oriented Simulation In Ad Hoc Grids: Design and Experience

In this paper we analyse the requirements of performing parallel transaction-oriented simulations within loosely coupled systems like ad hoc grids. We focus especially on the space-parallel approach to parallel simulation and on discrete event synchronisation algorithms that are suitable for transaction-oriented simulation and the target environment of ad hoc grids. To demonstrate our findings, a Java-based parallel simulator for the transaction-oriented language GPSS/H is implemented on the basis of the most promising shock-resistant Time Warp (SRTW) synchronisation algorithm and using the grid framework ProActive. The analysis of our parallel simulator, based on experiments using the Grid5000 platform, shows that the SRTW algorithm can successfully reduce the number of rolled back transaction moves but it also reveals circumstances in which the SRTW algorithm can be outperformed by the normal Time Warp algorithm. Finally, possible improvements to the SRTW algorithm are proposed in order to avoid such problems.

cs.DC