scholarly journals Desain Dan Implementasi Hybrid Cloud Computing Sebagai Infrastruktur Untuk Analisis Big Data Menggunakan Analytic Hierarchy Process(AHP)

Techno Com ◽  
2018 ◽  
Vol 17 (4) ◽  
pp. 404-414
Author(s):  
Toga Aldila Cinderatama ◽  
Yoppy Yunhasnawa ◽  
Rinanza Zulmy Alhamri
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Cloud Provider ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Private Cloud ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Dalam implementasi big data biasanya membutuhkan sumber daya yang cukup besar untuk dapat melakukan analisis terhadap data-data yang jumlahnya sangat besar tersebut, hal ini biasanya menjadi kendala dikarenakan keterbatasan sumber daya yang dimiliki. Komputasi awan (cloud computing) yang salah satunya mempunyai sifat elasticity di dalamnya, menawarkan solusi keterbatasan sumber daya ini. Sumber daya yang terbatas misalkan dalam hal processor, RAM atau storage, dapat digabungkan dengan sumber daya yang dimiliki public cloud provider yang tersedia di market. Sehingga penggabungan 2 sumber daya ini, private cloud dan public cloud, diharapkan menjadi solusi untuk dapat mengimplementasikan analisis big data yang dapat diterapkan untuk analisis berbagai macam bidang. Secara umum penelitian ini bertujuan untuk mengimplementasikan hybrid cloud yang menggabungkan sumber daya dari private cloud dengan sumber daya dari public cloud sebagai infrastruktur untuk analisis big data. Secara khusus tujuan penelitian ini adalah merumuskan sebuah metode minimalisasi cost dalam pemilihan public cloud dengan pendekatan sistem pendukung keputusan menggunakan Fuzzy AHP pada pemilihan public cloud. Langkah pertama yang dilakukan dalam penelitian ini adalah pengumpulan data cost penggunaan resource dari public cloud. Selanjutnya dilakukan analisis kebutuhan sumber daya yang diperlukan untuk melalukan analisis big data dengan studi kasus topik tertentu. Selanjutnya tahap analisis terhadap pemilihan public cloud yang tepat untuk digunakan sumber dayanya dengan pertimbangan minimalisasi cost. Langkah terakhir adalah implementasi hybrid cloud dan melakukan analisis dan evaluasi terhadap metode yang diusulkan.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

scholarly journals Multicriteria optimization in a fuzzy environment: The fuzzy analytic hierarchy process

2010 ◽  
Vol 20 (1) ◽  
pp. 71-85 ◽  
Author(s):  
Milanka Gardasevic-Filipovic ◽  
Dragan Saletic
Keyword(s):  
Analytic Hierarchy Process ◽  
Optimization Problems ◽  
Fuzzy Ahp ◽  
User Preferences ◽  
Analytic Hierarchy ◽  
Weighted Sum Method ◽  
Fuzzy Environment ◽  
Previously Treated ◽  
Judgment Matrix ◽  
Hierarchy Process

In the paper the fuzzy extension of the Analytic Hierarchy Process (AHP) based on fuzzy numbers, and its application in solving a practical problem, are considered. The paper advocates the use of contradictory test to check the fuzzy user preferences during fuzzy AHP decision-making process. We also propose consistency check and deriving priorities from inconsistent fuzzy judgment matrices to be included in the process, in order to check if the fuzzy approach can be applied in the AHP for the problem considered. An aggregation of local priorities obtained at different levels into composite global priorities for the alternatives based on weighted-sum method is also discussed. The contradictory fuzzy judgment matrix is analyzed. Our theoretical consideration has been verified by an application of commercially available Super Decisions program (developed for solving multi-criteria optimization problems using AHP approach) on the problem previously treated in the literature. The obtained results are compared with those from the literature. The conclusions are given and the possibilities for further work in the field are pointed out.

scholarly journals Sistem Pendukung Keputusan Pemberian Pembiayaan Murahabah dengan Fuzzy Analytic Hierarchy Process

Techno Com ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 178-189
Author(s):  
Siti Monalisa ◽  
Raynaldi Setiawan
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Hierarchy Process

BMT Al-ittihad terdapat bermacam-macam pembiayaan  salah satunya Murabahah yang berarti akad jual beli barang dengan menyatakan harga perolehan dan keuntungan (margin) yang disepakati oleh penjual dan pembeli. BMT Al-itthad dalam proses melaksanakan akad Murabahah dilakukan dengan menganalisa kelayakan pemberian pembiayaan kepada anggota dengan cara melengkapi persyaratan umum dan menggunakan bahasa yang subjektif terhadap penilaian kriteria karakter berdasarkan rekomendasi anggota lain,wawancara dan cara berkomunikasi, Penilaian karakter merupakan penilaian yang paling penting berdasarkan hasil wawancara dengan kepala pembiayaan karena penilaian karakter merupakan penilaian untuk melihat apakah anggota sanggup dan amanah membayar hutang. Untuk mengatasi penilaian yang bersifat subjektif maka dirancang sebuah sistem pendukung keputusan pemberian pembiayaan dengan menggunakan metode fuzzy analytic hierarchy process. Metode fuzzy AHP merupakan penggabungan dari metode fuzzy dan AHP. Metode fuzzy AHP dapat menutupi kelemahan yang terdapat pada AHP yaitu menangani penilaian yang bersifat subjektif . Sistem ini dirancang menggunakan bahasa pemrograman PHP, MySQL , sedangkan metode pengembangan sistem menggunakan V-model dan UML sebagai standar pemodelannya. Sistem pendukung keputusan  ini dapat memudahkan serta mempercepat proses penentuan pemberian pembiayaan Murabahah kepada anggota.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

A Security-By-Distribution Approach to Manage Big Data in a Federation of Untrustworthy Clouds

2019 ◽  
pp. 346-375
Author(s):  
Jens Kohler ◽  
Christian Richard Lorenz ◽  
Markus Gumbel ◽  
Thomas Specht ◽  
Kiril Simov
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Cost Savings ◽  
Cloud Provider ◽  
Small Data ◽  
Storage Space ◽  
Public Cloud ◽  
Infrastructure Investments ◽  
Security Compliance ◽  
Document Stores

In recent years, Cloud Computing has drastically changed IT-Architectures in enterprises throughout various branches and countries. Dynamically scalable capabilities like CPUs, storage space, virtual networks, etc. promise cost savings, as huge initial infrastructure investments are not required anymore. This development shows that Cloud Computing is also a promising technology driver for Big Data, as the storage of unstructured data when no concrete and defined data schemes (variety) can be managed with upcoming NoSQL architectures. However, in order to fully exploit these advantages, the integration of a trustworthy 3rd party public cloud provider is necessary. Thus, challenging questions concerning security, compliance, anonymization, and privacy emerge and are still unsolved. To address these challenges, this work presents, implements and evaluates a security-by-distribution approach for NoSQL document stores that distributes data across various cloud providers such that every provider only gets a small data chunk which is worthless without the others.

A Security-By-Distribution Approach to Manage Big Data in a Federation of Untrustworthy Clouds

2017 ◽  
pp. 92-123 ◽  
Author(s):  
Jens Kohler ◽  
Christian Richard Lorenz ◽  
Markus Gumbel ◽  
Thomas Specht ◽  
Kiril Simov
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Cost Savings ◽  
Cloud Provider ◽  
Small Data ◽  
Storage Space ◽  
Public Cloud ◽  
Infrastructure Investments ◽  
Security Compliance ◽  
Document Stores

In recent years, Cloud Computing has drastically changed IT-Architectures in enterprises throughout various branches and countries. Dynamically scalable capabilities like CPUs, storage space, virtual networks, etc. promise cost savings, as huge initial infrastructure investments are not required anymore. This development shows that Cloud Computing is also a promising technology driver for Big Data, as the storage of unstructured data when no concrete and defined data schemes (variety) can be managed with upcoming NoSQL architectures. However, in order to fully exploit these advantages, the integration of a trustworthy 3rd party public cloud provider is necessary. Thus, challenging questions concerning security, compliance, anonymization, and privacy emerge and are still unsolved. To address these challenges, this work presents, implements and evaluates a security-by-distribution approach for NoSQL document stores that distributes data across various cloud providers such that every provider only gets a small data chunk which is worthless without the others.

The Analytic Hierarchy Process as a Method for the Selection of Resources in the Cloud

2021 ◽  
pp. 267-284
Author(s):  
Hugo Rolando Haurech ◽  
David Luis la Red Martinez
Keyword(s):  
Cloud Computing ◽  
Analytic Hierarchy Process ◽  
Information Technologies ◽  
Analytic Hierarchy ◽  
Mathematical Development ◽  
Technological Advances ◽  
Computing Skills ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process ◽  
Selection Of

Due to technological advances, organizations have to face many challenges in providing support through the use of information technologies (IT) to carry out tasks that require computing skills. It is important to adopt adequate resources with the aim of developing processing skills that meet actual needs. Cloud computing (CC) represents an alternative that offers many opportunities to be exploited. This chapter introduces characteristics of CC, the technologies that enable its deployment, and a model of selection based on qualifications and mathematical development.

Fuzzy Ratings and Crisp Feedback in Fuzzy AHP for Supporting Human Decision Making

2006 ◽  
Vol 10 (2) ◽  
pp. 219-224 ◽  
Author(s):  
Toshiyuki Yamashita ◽  
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Psychological Effects ◽  
Analytic Hierarchy ◽  
Human Decision ◽  
Hierarchy Process

Analytic Hierarchy Process (AHP) is one of the most popular tools for supporting human decision making, and several fuzzy extensions of AHP have been proposed. The present study investigated psychological effects of both fuzzy ratings in fuzzy AHP and crisp feedback of the results from fuzzy AHP. The results suggest that fuzzy ratings could incorporate the fuzziness of a person’s feelings in his/her decision making. The results also suggest that crisp feedback, which exaggerates the superiority of only one alternative or the differences among the alternatives, could help a person to make his/her decision, especially when being deeply puzzled about his/her choice.

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