Towards Improving the Functioning of CloudSim Simulator

Belalem, Ghalem; Limam, Said

doi:10.1007/978-3-642-22410-2_22

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…In order to evaluate the proposed strategy, we have widely extended an existing cloud simulator CloudSim [11], already partially extended in [12]. The experiment results show that the proposed strategy can significantly improve both availability and performance simultaneously while the profitability of the cloud provider is taken into account.…”

Section: Replication Schemementioning

confidence: 99%

“…In order to validate DRAPP, we used CloudSim [11], an open source, generalized and extensible simulation framework that enables seamless modelling, simulation, and experimentation of emerging Cloud computing infrastructures and application services [12]. We have extended CloudSim in order to manage data replication and resource cost measurement.…”

Section: Replica Placementmentioning

confidence: 99%

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Data replication strategy with satisfaction of availability, performance and tenant budget requirements

2019

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We propose a dynamic replication strategy that satisfies simultaneously availability and performance tenant requirements while taking into account the tenant budget and the provider profit. The proposed strategy is based on a cost model that aims to calculate the minimum number of replicas required to maintain a high data availability. A replica creation is triggered only when this number of replicas is not reached or when the response time objective is not satisfied. Then, the replication must be profitable for the provider when creating a new replica. Furthermore, data replication and query scheduling are coupled in order to place these replicas in a load balancing way while dealing with the tenant budget. The experiment results prove that the proposed strategy can significantly improve availability and performance while the tenant budget is taken into account.

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Section: Replication Schemementioning

confidence: 99%

Section: Replica Placementmentioning

confidence: 99%

Data replication strategy with satisfaction of availability, performance and tenant budget requirements

2019

Self Cite

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A self-adaptive conflict resolution with flexible consistency guarantee in the cloud computing

Limam¹,

Belalem²

2016

MGS

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A replication and migration strategy on the hierarchical architecture in the fog computing environment

Berkennou

Belalem

Limam

2020

MGS

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Connecting objects have increasingly become popular in recent years, leading to the connection of more than 50 billion objects by the end of 2020. This large number of objects will generate a huge amount of data that is currently being processed and stored in the cloud. Fog Computing presents a promising solution to the problems of high latency and huge network traffic encountered in the cloud. As Fog’s infrastructures are dense, heterogeneous and geo-distributed, managing the data in order to satisfy users demand in such context is very complicated. In this work, we propose a data management strategy called ‘RMS-HaFC’ in which we consider the characteristics of Fog Computing environment. To do so, we proposed a hierarchical multi-layer model, on which we designed a migration and replication strategy based on data popularity. These strategies duplicate files dynamically and store them in different locations to improve the response time of users requests and minimize the system energy consumption without loading network usage. The strategy was evaluated using the iFogSim simulator and the experimental results obtained are very promising.

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Towards Improving the Functioning of CloudSim Simulator

Cited by 5 publications

References 6 publications

Data replication strategy with satisfaction of availability, performance and tenant budget requirements

Data replication strategy with satisfaction of availability, performance and tenant budget requirements

A self-adaptive conflict resolution with flexible consistency guarantee in the cloud computing

A replication and migration strategy on the hierarchical architecture in the fog computing environment

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