Service Replication Strategies with MapReduce in Clouds

Tsai, Wei‐Tek; Zhong, Peide; Elston, Jay; Bai, Xiaoying; Chen, Yinong

doi:10.1109/isads.2011.57

Cited by 23 publications

(14 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…2. Each processor communicates with all other processors via virtual subnet, virtual backbone or physical communication media [2,11]. 3.…”

Section: Procedures Itransmissionmentioning

confidence: 99%

“…3. The processor plays sender, receiver or agent, depends on the behavior of which kinds of iTRANSMISSION [2]. 4.…”

Section: Procedures Itransmissionmentioning

confidence: 99%

“…Furthermore, cloud storage (or data centre, data storage as a service) is the concept of storage behind an interface where the storage can be administered on demand 1,2 . However, one of the fundamental cloud storage issues is replication, which combined with cloud computing based infrastructure; the target mobile processors connected to cloud service provider, listen to some tasks from server and application recovery is in needed 2 . As wireless and cloud computing have become increasingly popular, network topology has shown a trend towards wireless connectivity, thus providing enhances support for cloud computing.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Virtual subnet agreement protocol in a cloud storage environment

Yan¹,

Yang²,

Wang³

et al. 2013

ScienceAsia

View full text Add to dashboard Cite

Fault-tolerance is an important research topic in the study of distributed systems. In a distributed system, cooperating tasks must achieve an agreement. This is to cope with the influence of faulty components. Reaching a common agreement in the presence of faults before performing certain tasks is essential. Nowadays, network bandwidth and hardware technology are developing rapidly, resulting in the vigorous development of the internet. However, cloud computing, an internet-based development in which dynamically scalable and often virtualized resources are provided as a service over the internet has become a significant issue. In addition, the Byzantine Agreement (BA) problem is a fundamental problem in fault-tolerant distribute systems. In previous studies, the BA algorithm was used in traditional network topology. However, this algorithm does not perform well in dynamically changing networks. To enhance fault-tolerance, a new protocol VSACS (virtual subnet agreement of cloud storage) is proposed to solve the BA problem in this study. VSACS uses the minimum number of message exchange rounds to make all correct processors agree on a common value and can tolerate the maximum number of allowable faulty components.

show abstract

“…2. Each processor communicates with all other processors via virtual subnet, virtual backbone or physical communication media [2,11]. 3.…”

Section: Procedures Itransmissionmentioning

confidence: 99%

“…3. The processor plays sender, receiver or agent, depends on the behavior of which kinds of iTRANSMISSION [2]. 4.…”

Section: Procedures Itransmissionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Virtual subnet agreement protocol in a cloud storage environment

Yan¹,

Yang²,

Wang³

et al. 2013

ScienceAsia

View full text Add to dashboard Cite

show abstract

“…This approach, which has been used extensively to deal with failure in critical applications, is currently used in cloud-computing to provide fault tolerance while hiding the delay of re-execution [8,9]. This solution, however, increases the energy consumption for a given service, which in turn might outweigh the profit gained by providing the service.…”

Section: Introductionmentioning

confidence: 99%

Shadow Replication: An Energy-Aware, Fault-Tolerant Computational Model for Green Cloud Computing

et al. 2014

View full text Add to dashboard Cite

As the demand for cloud computing continues to increase, cloud service providers face the daunting challenge to meet the negotiated SLA agreement, in terms of reliability and timely performance, while achieving cost-effectiveness. This challenge is increasingly compounded by the increasing likelihood of failure in large-scale clouds and the rising impact of energy consumption and CO 2 emission on the environment. This paper proposes Shadow Replication, a novel fault-tolerance model for cloud computing, which seamlessly addresses failure at scale, while minimizing energy consumption and reducing its impact on the environment. The basic tenet of the model is to associate a suite of shadow processes to execute concurrently with the main process, but initially at a much reduced execution speed, to overcome failures as they occur. Two computationally-feasible schemes are proposed to achieve Shadow Replication. A performance evaluation framework is developed to analyze these schemes and compare their performance to traditional replication-based fault tolerance methods, focusing on the inherent tradeoff between fault tolerance, the specified SLA and profit maximization. The results show that Shadow Replication leads to significant energy reduction, and is better suited for compute-intensive execution models, where up to 30% more profit increase can be achieved due to reduced energy consumption.

show abstract

“…Las aplicaciones MapReduce han sido ampliamente estudiadas en plataformas de computación en la nube [90,88,47,105]. Sin embargo, a diferencia de las nubes híbridas, donde los recursos locales son limitados, la suposición general es que la aplicación completa se está ejecutando remotamente y tiene acceso a recursos de computación prácticamente ilimitados gracias a la elasticidad.…”

Section: Optimizaciones De Rendimiento De Mapreduce En Nubes Híbridasunclassified

Metodología de predicción de rendimiento de aplicaciones MapReduce iterativas sobre una nube híbrida

Castelló¹,

José²

View full text Add to dashboard Cite

Service Replication Strategies with MapReduce in Clouds

Cited by 23 publications

References 11 publications

Virtual subnet agreement protocol in a cloud storage environment

Virtual subnet agreement protocol in a cloud storage environment

Shadow Replication: An Energy-Aware, Fault-Tolerant Computational Model for Green Cloud Computing

Metodología de predicción de rendimiento de aplicaciones MapReduce iterativas sobre una nube híbrida

Contact Info

Product

Resources

About