A Model Driven Framework for Portable Cloud Services

Vijaya, A.; Neelanarayanan, V

doi:10.11591/ijece.v6i2.8270

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…The application's components, their relations, and management ought to be designed in a portable, machine-readable, and standardized format for facilitating the creation of portable cloud data together with the automation of their management and deployment [17]. If the services are portable, the chances of resource sharing betwixt the clouds are high, which in turn will improve user data privacy, security, in addition to reliability [18].…”

Section: Introductionmentioning

confidence: 99%

Confidentiality Preserving and Data Portability for Secure Cloud Computing using LCC-AP and SP-GA

2020

IJATCSE

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Cloud computing (CC) allows obtaining computing resources on-demand and also allows storing avalanche of data with a high fault tolerance level. Security is extremely vital when storing an avalanche of data on the cloud for resolving a number of issues. Though several existing works were there to store data on the cloud, still there are some problems that the data owner has to suffer, such as lack of confidentiality, time delay in storing, and also data being attacked because of insider troubles. Thus, this paper strives to strengthen the sensitive Data Confidentiality (DC) in private as well as public cloud storage by proposing a new data portability and access policy scheme to resolve these afore-mentioned problems. A novel algorithm termed Sandpiper Genetic Algorithm (SP-GA) is launched to maintain proper portability between the cloud-severs. Then, Length Caesar Cipher based Access Policy (LCC-AP) technique is utilized to achieve DC. The proposed techniques guarantee DC, support portability, and also provide secured sharing of files among users. Experimental outcomes show the potential efficiency of SP-GA and LCC-AP

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Section: Introductionmentioning

confidence: 99%

Confidentiality Preserving and Data Portability for Secure Cloud Computing using LCC-AP and SP-GA

2020

IJATCSE

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“…Nonetheless, issues such as high maintenance cost of ICT infrastructure and lack of automatic upgrading services are among many issues to broaden e-services in client server mode as found in government, education and business [1]. Cloud computing with its advantages such as simplicity in hardware management as well as flexibility in handling increasing users demand, seems to provide one stop solution to all current e-services issues [2].…”

Section: Introductionmentioning

confidence: 99%

Decision Making Analysis of Video Streaming Algorithm for Private Cloud Computing Infrastructure

Syamsuddin¹,

Nur²,

Nirwana³

et al. 2017

IJECE

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The issue on how to effectively deliver video streaming contents over cloud computing infrastructures is tackled in this study. Basically, quality of service of video streaming is strongly influenced by bandwidth, jitter and data loss problems. A number of intelligent video streaming algorithms are proposed by using different techniques to deal with such issues. This study aims to propose and demonstrate a novel decision making analysis which combines ISO 9126 (international standard for software engineering) and Analytic Hierarchy Process to help experts selecting the best video streaming algorithm for the case of private cloud computing infrastructure. The given case study concluded that Scalable Streaming algorithm is the best algorithm to be implemented for delivering high quality of service of video streaming over the private cloud computing infrastructure.

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“…We even can establish a private cloud with Ubuntu Enterprise Cloud to offer immediacy and elasticity in the infrastructure of web applications [5]. In summary, both of the numbers of cloud applications and providers have kept gradually increasing for a couple of years [6,7]. As a result, computing resource scheduling and performance managing have been one of the most important aspects of cloud computing [8,9].…”

Section: Introductionmentioning

confidence: 99%

Dynamic control and Resource management for Mission Critical Multi-tier Applications in Cloud Data Center

Sahoo¹,

Goswami²

2016

IJECE

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The multi-tier architecture style has become an industry standard in modern data centers with each tier providing certain functionality. To avoid congestion and to adhere the SLA under fluctuating workload and unpredictable failures of Mission Critical Multi-tier applications hosted in the cloud, we need a Dynamic admission control policy, such that the requests must be processed from the first tier to the last without any delay. This paper presents the least strict admission control policy, which will induce the maximal throughput, for a twotier system with parallel servers. We propose an optimization model to minimize the total number of virtual machines for computing resources in each tier by dynamically varying the mean service rate of the VMs. Some performance indicators and computational results showing the effect of model parameters are presented. This model is also applicable to priority as well as real-time based applications in Cloud based environment.Copyright c 2016 Institute of Advanced Engineering and Science.All rights reserved.Corresponding Author: C. N. Sahoo School of Computer Engineering, KIIT University Bhubaneswar-751024, India Phone: +91-9880149447 Email: nishikant.choudhury@gmail.com INTRODUCTIONCloud computing greatly lowers the threshold for deploying and maintaining web applications since it provides infrastructure as a service (IaaS) and platform as a service (PaaS) for web applications [1]. Consequently, a number of web applications, particularly the web applications of medium and small enterprises, have been built into a cloud environment. Meanwhile, leading IT companies have established public commercial clouds. For example, Google App Engine enables enterprises to build and host web applications on the same systems that power Google applications. App Engine offers fast development and deployment; simple administration, with no need to worry about hardware, patches or backups; and effortless scalability [2]. IBM also provides cloud options [3]. Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers [4]. We even can establish a private cloud with Ubuntu Enterprise Cloud to offer immediacy and elasticity in the infrastructure of web applications [5]. In summary, both of the numbers of cloud applications and providers have kept gradually increasing for a couple of years [6,7]. As a result, computing resource scheduling and performance managing have been one of the most important aspects of cloud computing [8,9]. This paper focuses on queueing-based analytical model for performance of web based applications with multi-tiered architecture. It is quite difficult to predict the traffic in web based applications. In case of Real-time or Mission-Critical applications, requests must be processed from the 1st tier to the last without any delay. If the release and processing times of requests are known, the problem for determining the processing order of requests i...

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A Model Driven Framework for Portable Cloud Services

Cited by 3 publications

References 3 publications

Confidentiality Preserving and Data Portability for Secure Cloud Computing using LCC-AP and SP-GA

Confidentiality Preserving and Data Portability for Secure Cloud Computing using LCC-AP and SP-GA

Decision Making Analysis of Video Streaming Algorithm for Private Cloud Computing Infrastructure

Dynamic control and Resource management for Mission Critical Multi-tier Applications in Cloud Data Center

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