From Web Cache to Cloud Cache

Banditwattanawong, Thepparit

doi:10.1007/978-3-642-30767-6_1

Cited by 13 publications

(6 citation statements)

References 20 publications

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“…[29] has originally proposed Cloud strategy as an early attempt of client-side cloud cache replacement policy. Its performances were investigated by using short 5-day data sets.…”

Section: Object Cacheabilitymentioning

confidence: 99%

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Multi-provider cloud computing network infrastructure optimization

Banditwattanawong

Masdisornchote

Uthayopas

2016

Future Generation Computer Systems

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h i g h l i g h t s• Byte-hit rate and hit rate could be optimal simultaneously in a nonuniform cost model. • i-Cloud outperformed popular LRU, GDSF and LFUDA schemes in a nonuniform cost environment.• i-Cloud's performances were stable and close to those of infinite cache size. • Window size had small performance effect when relative cache sizes were big.• Accounting data-out charge rates improved all performance aspects at small cache sizes. a b s t r a c tCloud-adopting enterprises have been increasingly employing multiple cloud providers concurrently, for example, to consume unique services and to mitigate data lock-in risk. As a consequence, the enterprises must be able to address contrasting quality-of-service degrees offered by the different providers. This paper presents an intelligent cloud cache eviction approach, namely i-Cloud, as the core component of a client-side cloud cache. i-Cloud is capable of reducing public cloud data-out expenses, improving cloud network scalability and lowering cloud service access latencies specifically in multi-provider cloud environments. Trace-driven simulations have shown that i-Cloud outperformed well-known approaches in all performance metrics. In addition, i-Cloud is not only able to achieve optimal performances in all metrics simultaneously but also delivered relatively stable performances across all performance metrics. The results have also indicated that taking the nonuniformity of data-out charge rates into cache eviction decisions improved caching performances in all metrics.

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“…[29] has originally proposed Cloud strategy as an early attempt of client-side cloud cache replacement policy. Its performances were investigated by using short 5-day data sets.…”

Section: Object Cacheabilitymentioning

confidence: 99%

“…The cost-saving metric has been originally proposed in [29]. It is particularly useful for demonstrating economical performance in multi-provider cloud employment.…”

Section: A Proposed Cloud Cache Replacement Policymentioning

confidence: 99%

Multi-provider cloud computing network infrastructure optimization

Banditwattanawong

Masdisornchote

Uthayopas

2016

Future Generation Computer Systems

Self Cite

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“…The method has got improved performance. Banditwattanawong and Uthayopas [9] presented the sharing of big data with i-cloud in point of efficiency and economic point of view. The trace-driven simulation results cost optimized and efficient of data sharing.…”

Section: Existing Work Over Privacy and Security Issues Of Big Data mentioning

confidence: 99%

“…Pant et al [5] The [9] the sharing of big data with i-cloud in point of efficiency and economic point of view…”

Section: Big Data Analysis Based On Private Cloudmentioning

confidence: 99%

Security and Privacy Preservation on Cloud-based Big Data Analysis (CBDA): A Review

Kumar¹,

Prabhudeva²

2016

CAE

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The term Big Data is nothing but large voluminous data, more complex data and relationship analysis of these data sets. The today's organizations, business units, government sectors, etc. are adopting the big data technique to store the enormous data generated by them. With all the significances of the big data as per economic and social benefits, lacks with many issues related to the security and privacy of the data. The modern ethnology like cloud computing will offer a scalable service for the big data with optimized cost. But the concern of privacy and security is still unsolved. This paper reflects the survey over the cloudbased big data security and privacy preservation. The survey discusses the recent work carried for privacy preservation and also existing research gap. The survey states a significant section for the future research line-up.

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“…Benefits of cloud testing [8] over traditional testing are as follows  Cloud incurs financial difficulty: it is an economical aspect of cloud computing where user pays as per the use i.e. the amount of data used the proportional will be the charge [10]. This overcomes the financial difficulty from the consumer point of view.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating Paas Scalability and Improving Performance Using Scalability Improvement Systems

Agnihotri¹,

Sharma²

2014

IJRET

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Cloud computing has almost changed the way of obtaining resources and managing platform as a service. With these improvements, challenges like scalability testing, performance testing is emerging very fast. This paper focuses on the evaluation of scalability of PaaS as well along with that propose a graphical model where SIS (Scalability Improvement System)is proposed in which cache are implemented at the both interfaces of PaaS to enhance the scalability in terms of providing service to the user.

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From Web Cache to Cloud Cache

Cited by 13 publications

References 20 publications

Multi-provider cloud computing network infrastructure optimization

Multi-provider cloud computing network infrastructure optimization

Security and Privacy Preservation on Cloud-based Big Data Analysis (CBDA): A Review

Evaluating Paas Scalability and Improving Performance Using Scalability Improvement Systems

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