Building a High Serviceability Model by Checkpointing and Replication Strategy in Cloud Computing Environments

Sun, Dawei; Chang, Guiran; Miao, Changsheng; Wang, Xingwei

doi:10.1109/icdcsw.2012.6

“…In this context, they calculate and maintain a minimum number of replicas to satisfy a minimum level of availability. The study of the relationship between the number of replicas and the level of availability has also been the subject of the work in Sun et al (2012). The proposed strategy establishes a minimum number of replicas for the most popular data.…”

Section: Single-objective Strategiesmentioning

confidence: 99%

A review on data replication strategies in cloud systems

Mokadem

¹

,

Martinez‐Gil

²

,

Hameurlain

³

et al. 2022

IJGUC

View full text Add to dashboard Cite

Data replication constitutes an important issue in Cloud data management. In this context, a significant number of replication strategies have been proposed for Cloud systems. Most of the studies in the literature have classified these strategies into static vs. dynamic or centralised vs. decentralised strategies. In this paper, we propose a new classification of data replication strategies in Cloud systems. It takes into account several other criteria, specific to Cloud environments: (i) the orientation of the profit, (ii) the considered objective function, (iii) the number of tenant objectives, (iv) the nature of the Cloud environment and (v) the consideration of economic costs. Dealing with the last criterion, we focus on the provider's economic profit and the consideration of energy consumption by the provider. Finally, the impact of some important factors is investigated in a simulation study.

show abstract

“…Each approach has its advantages and drawbacks. Centralised replication strategies (Begum and Sirisha, 2019;Huang et al, 2014;Sun et al, 2012;Zhang et al, 2018) are easier to implement. The strategy proposed in Zhang et al (2018) is based on a central controller node that maintains an up-to-date global view of data in the system.…”

Section: Centralised Vs Decentralised Strategiesmentioning

confidence: 99%

“…3) The number of tenant objectives that a replication strategy aims to satisfy: Data replication strategies can be classified as: single-objective vs. multi-objective strategies. Most of the existing strategies aim to satisfy a single tenant objective such as availability (Sun et al, 2012), energy consumption (Xu et al, 2015), reliability (Bui et al, 2016), performance (Mansouri and Buyya, 2019;Vulimiri et al, 2015) and fault tolerance (Li et al, 2019). On the other hand, some strategies aim to simultaneously meet several tenant objectives.…”

Section: Introductionmentioning

confidence: 99%

A review on data replication strategies in cloud systems

Hameurlain¹,

Kueng²,

Mokadem³

et al. 2022

IJGUC

View full text Add to dashboard Cite

Data replication constitutes an important issue in Cloud data management. In this context, a significant number of replication strategies have been proposed for Cloud systems. Most of the studies in the literature have classified these strategies into static vs. dynamic or centralised vs. decentralised strategies. In this paper, we propose a new classification of data replication strategies in Cloud systems. It takes into account several other criteria, specific to Cloud environments: (i) the orientation of the profit, (ii) the considered objective function, (iii) the number of tenant objectives, (iv) the nature of the Cloud environment and (v) the consideration of economic costs. Dealing with the last criterion, we focus on the provider's economic profit and the consideration of energy consumption by the provider. Finally, the impact of some important factors is investigated in a simulation study.

show abstract

“…Despite this, the techniques proposed in the literature suffer from various problems such as heavy overhead, limited scaling, insufficient reliability, high resource consumption, etc …”

Section: Introductionmentioning

confidence: 99%

“…To improve reliability without degrading or overloading cloud performance, the implementation of an adaptive fault‐tolerant tool is required . The most popular methods for achieving fault tolerance against faults are replication and checkpoints Checkpoint and recovery: The system status is captured and stored according to predefined settings (eg, after every 1024 instructions or every period).…”

Section: Introductionmentioning

confidence: 99%

Optimization of checkpointing/recovery strategy in cloud computing with adaptive storage management

Meroufel

¹

,

Belalem

²

2018

Concurrency and Computation

View full text Add to dashboard Cite

Summary Cloud Computing is a type of distributed system that is usually based on the services offered to the user based on SLA contract. In this case, the implementation of a fault‐tolerant system that ensures the reliability and the services continuity becomes a major requirement. In this paper, we propose a fault tolerance strategy based on checkpointing and replication. Our approach uses a smart checkpoint infrastructure for cloud computing tasks. The checkpoints are stored in alternative already paid VMs. This allows resuming a task execution faster and cheaper after a node crash. Since checkpoints are distributed and replicated, our approach increases also the system reliability. The experimental results show the effectiveness of the proposed strategy in term of energy consumption, SLA (System Level Aggregation) violation, and reliability.

show abstract

Building a High Serviceability Model by Checkpointing and Replication Strategy in Cloud Computing Environments

Cited by 9 publications

References 28 publications

A review on data replication strategies in cloud systems

A review on data replication strategies in cloud systems

A review on data replication strategies in cloud systems

Optimization of checkpointing/recovery strategy in cloud computing with adaptive storage management

Contact Info

Product

Resources

About