A Study on Scalability of Services and Privacy Issues in Cloud Computing

Patibandla, R. S. M. Lakshmi; Kurra, Santhi Sri; Mundukur, Nirupama Bhat

doi:10.1007/978-3-642-28073-3_19

Cited by 12 publications

(9 citation statements)

References 31 publications

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“…An immense amount of energy is required for operating a large-scale infrastructure (Forell et al, 2011); concerns including infrastructure design (Goyal, 2012;Kim et al, 2009) and virtualisation (Elmroth et al, 2011;Min et al, 2011) have been emphasised. Infrastructure characteristics, including accessibility (Pham et al, 2012;Wei and Blake, 2012), dependability (Jadeja and Modi, 2012) and expandability (Patibandla et al, 2012), have been speculated.…”

Section: Infrastructurementioning

confidence: 99%

An investigation of the challenges and issues influencing the adoption of cloud computing in Australian regional municipal governments

Ali

Soar

Yong

2016

Journal of Information Security and Applications

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Section: Infrastructurementioning

confidence: 99%

An investigation of the challenges and issues influencing the adoption of cloud computing in Australian regional municipal governments

Ali

Soar

Yong

2016

Journal of Information Security and Applications

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“…To enhances service scalability and reduce the risk of performance degradation is by handling a larger number of data. Besides, fault tolerance mechanisms affect the system scalability and usability [4], [5], [6], [7], [8]. According to Rimal et al [7], Microsoft Azure had an outage of about 22 hours in March 2008 that leads to critical issues if the downtime cannot be handled in Cloud Computing (CC) environment.…”

Section: Related Workmentioning

confidence: 99%

“…Besides, fault tolerance mechanisms affect the system scalability and usability [4], [5], [6], [7], [8]. According to Rimal et al [7], Microsoft Azure had an outage of about 22 hours in March 2008 that leads to critical issues if the downtime cannot be handled in Cloud Computing (CC) environment. Every year, thousands of websites need to face unpredicted downtime and hundreds of systems interruptions.…”

Section: Related Workmentioning

confidence: 99%

Scalability of Mobile Cloud Storage

Hussien

Sulaiman

Aborujilah

et al. 2021

Int. J. Interact. Mob. Technol.

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<span>Today, there are high demands on Mobile Cloud Storage (MCS) services that need to manage the increasing number of works with stable performance. This situation brings a challenge for data management systems because when the number of works increased MCS needs to manage the data wisely to avoid latency occur. If latency occurs it will slow down the data performance and it should avoid that problem when using MCS. Moreover, MCS should provide users access to data faster and correctly. Hence, the research focuses on the scalability of mobile cloud data storage management, which is study the scalable on how deep the data folder itself that increase the number of works.</span>

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“…Scalability enhances the replication [126]. The requirements of cloud computing are scalability with large data set operations [90], resulting in increasing the performance using over-provisioning of the resources [127]. The data on storage systems needs prompt scale to cover the increasing workload demands by providing the provision to horizontal or vertical expansions [128].…”

Section: Scalabilitymentioning

confidence: 99%

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Waseem¹,

Din

Alshamrani

et al. 2021

Electronics

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Data replications effectively replicate the same data to various multiple locations to accomplish the objective of zero loss of information in case of failures without any downtown. Dynamic data replication strategies (providing run time location of replicas) in clouds should optimize the key performance indicator parameters, like response time, reliability, availability, scalability, cost, availability, performance, etc. To fulfill these objectives, various state-of-the-art dynamic data replication strategies has been proposed, based on several criteria and reported in the literature along with advantages and disadvantages. This paper provides a quantitative analysis and performance evaluation of target-oriented replication strategies based on target objectives. In this paper, we will try to find out which target objective is most addressed, which are average addressed, and which are least addressed in target-oriented replication strategies. The paper also includes a detailed discussion about the challenges, issues, and future research directions. This comprehensive analysis and performance evaluation based-work will open a new door for researchers in the field of cloud computing and will be helpful for further development of cloud-based dynamic data replication strategies to develop a technique that will address all attributes (Target Objectives) effectively in one replication strategy.

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A Study on Scalability of Services and Privacy Issues in Cloud Computing

Cited by 12 publications

References 31 publications

An investigation of the challenges and issues influencing the adoption of cloud computing in Australian regional municipal governments

An investigation of the challenges and issues influencing the adoption of cloud computing in Australian regional municipal governments

Scalability of Mobile Cloud Storage

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

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