Optimizing cloud solutioning design

Megahed, Aly; Nazeem, Ahmed; Yin, Peifeng; Tata, Samir; Nezhad, Hamid R. Motahari; Nakamura, Taiga

doi:10.1016/j.future.2018.08.005

Cited by 12 publications

(13 citation statements)

References 9 publications

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“…To compare the proposed migration approach with other approaches presented in previous studies that ignore the dynamicity in the cloud profile or changes in the enterprise strategic objectives, we first defined two functions to measure the fitness of any given deployment of components on the cloud resources from the financial and customer satisfaction viewpoints, which are two important strategic objectives of all enterprises . Afterwards, a two‐dimensional dynamic environment was defined as our evaluation test bed.…”

Section: Evaluation and Discussionmentioning

confidence: 99%

“…Some works have modeled the migration to cloud problem as an optimization problem to find the best deployment of software components on cloud platforms. Leymann et al have presented a migration method for finding optimal distribution of composite applications on multicloud providers.…”

Section: Related Workmentioning

confidence: 99%

“…Although the patterns presented in this study are very useful, the manual pattern selection and composition need to be replaced with an automatic plan creation method. Some works [16][17][18][19][20] have modeled the migration to cloud problem as an optimization problem to find the best deployment of software components on cloud platforms. Leymann et al 16 have presented a migration method for finding optimal distribution of composite applications on multicloud providers.…”

Section: Related Workmentioning

confidence: 99%

“…They evaluated this method with some optimization methods such as hill climbing and evolutionary methods, and reported that the hill climbing algorithm outperforms others. Megahe et al have proposed a solution based on an integer linear programming optimization model for the migration to cloud problem. The objective is to find the solution with minimum cost subject to a set of constraints describing the customer's requirement.…”

Section: Related Workmentioning

confidence: 99%

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An adaptive plan‐oriented and continuous software migration to cloud in dynamic enterprises

Nabavi

Bushehrian

2019

Softw Pract Exp

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Summary Replacing existing software/hardware components with their equivalent cloud services is an important decision faced by IT managers in today's enterprises. A variety of possible migration targets and cloud services with too many configurations and cost models, disparate and changing strategic objectives of the enterprise management that triggers the migration process, and the complex structure of the legacy applications make software migration to the cloud a challenging issue. In contrast to the existing approaches that model the migration process as an optimization problem to find the optimal deployment of software components on cloud services without presenting a practical migration plan, in this paper, a plan‐oriented migration approach is proposed by which the enterprise management is able to follow migration steps of a valid plan. All valid plans are modeled using a labeled transition system, and a recommender engine directs the management through the possible migration paths using predefined fitness functions. It was observed that, particularly in dynamic and changing conditions that a flexible migration plan is essential, the proposed plan‐oriented method is very much effective in satisfying the enterprise strategic objectives. Evaluations have been performed using two quality indicators: total cost of ownership and scalability index.

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Section: Evaluation and Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

An adaptive plan‐oriented and continuous software migration to cloud in dynamic enterprises

Nabavi

Bushehrian

2019

Softw Pract Exp

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“…Programinė įranga XEN ir KVM dažnai naudojama debesų kompiuterijos ištekliams virtualizuoti (Chierici ir Veraldi, 2010). Debesų kompiuterijos infrastruktūros ir paslaugos padidina vartotojų mobilumą ir pagerina išteklių naudojimą (Megahed et al, 2019), todėl intensyvių skaičiavimų programinės įrangos paslaugos sparčiai plinta tiek pramonėje, tiek mokslinių tyrimų srityje (Castañé, Xiong, Dong ir Morrison, 2018). Darbe (Estrada et al, 2015) buvo tirta genomo skaičiavimų greitaveika virtualizuotose mašinose ir konteineriuose.…”

Section: įVadasunclassified

Debesų Kompiuterijos Programinės Įrangos Paslaugų Greitaveikos Tyrimai / Performance Analysis of Cloud Computing Software Services

Bystrov

Pacevič

Kačeniauskas

2019

Science - Future of Lithuania

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The paper presents the performance analysis of the developed software as a service. In OpenStack cloud infrastructure, the software services for hemodynamic flow modelling and particle technology applications have been developed by using Apache jclouds API. The performance of the hosted cloud infrastructure has been assessed testing virtual memory, CPU, disk IO, network and the developed software services. The measured performance of the virtual OpenStack resources (full XEN virtualization) has been compared with that of the virtual Eucalyptus resources (KVM paravirtualization) and the native hardware.

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An adaptive and cost‐efficient migration to cloud approach in dynamic environments

Bushehrian

Nabavi

2021

Concurrency and Computation

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Summary Due to the variety in available cloud providers along with the frequent changes in strategic objectives of an enterprise, migrating existing software components to the cloud has become a challenging decision in the software maintenance phase. “Financial” and “customer satisfaction” viewpoints are two important strategic objectives of all enterprises that greatly affect the decision about migration to the cloud. Moreover immense number of target cloud services with too many configurations and cost models has made the search space of possible migrations huge. Many existing approaches of software migration to the cloud have modeled the problem as deployment optimization of software components over available platforms, while in this research following a valid migration plan is intended rather than proposing a final optimal migration solution (deployment). A migration plan is a sequence of actions to be taken by the technical team to move the software components to the cloud stepwise. Since at each stage of the migration there might be many valid alternative paths to follow, a recommender module is proposed to direct the management by recommending the best migration plan out of all valid plans in a Labeled Transition System. The recommendation is based on the current state of the enterprise which is estimated using a two‐state Hidden Markovian Model by observing ambient signals. The empirical study showed that particularly in dynamic and changing conditions the proposed adaptive and plan‐oriented method succeeded in posing lower accrued maintenance costs on the enterprise over time with confidence 90% compared to the non‐adaptive method due to its reactive and self‐balancing nature.

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Optimizing cloud solutioning design

Cited by 12 publications

References 9 publications

An adaptive plan‐oriented and continuous software migration to cloud in dynamic enterprises

An adaptive plan‐oriented and continuous software migration to cloud in dynamic enterprises

Debesų Kompiuterijos Programinės Įrangos Paslaugų Greitaveikos Tyrimai / Performance Analysis of Cloud Computing Software Services

An adaptive and cost‐efficient migration to cloud approach in dynamic environments

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