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"Keberadaan data center pada sistem cloud computing sangat besar artinya. Data center yang terletak pada lapisan IaaS pada sistem cloud berisi komponen fisik yang meliputi komponen komputasi seperti server dan switch dan komponen non komputasi seperti sistem pendingin dan pengaturan suhu. Seiring dengan meningkatnya jumlah pengguna data center, maka konsumsi daya listrik pada data center akan meningkat. Telah diusulkan skema penghematan energi pada data center yakni skema DVFS dan DNS. Pada penelitian ini telah disimulasikan menggunakan GreenCloud, yang merupakan ekstensi dari NS2, kepada tiga macam arsitektur data center yakni two-tier, three-tier dan three-tier high-speed dengan jenis workload adalah High Performance Computing HPC. Penerapan skema penghematan meliputi skema DVFS dan DNS saja serta DVFS dan DNS sekaligus. Dari hasil yang diperoleh menunjukkan bahwa penerapan skema DNS menunjukkan hasil terbaik karena berhasil melakukan penghematan rata-rata sebesar 63,42% pada server dan hampir 100% pada switch.

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The existence of a data center in the cloud computing system was huge. Data center is located on the IaaS layer cloud systems containing physical component includes computing components such as servers and switches and non-computing components such as cooling systems and temperature regulation. Along with the increasing number of users of data center, then the electric power consumption in the data center will increase. Energy conservation schemes have been proposed in the data center is DNS and DVFS.

In this study has been simulated using GreenCloud, which is an extension of NS2, the three kinds of data center architecture these are two-tier, three-tier and three-tier high-speed with the type of data center workloads is HPC High Performance Computing. The applications of the savings schemes include schemes DVFS only, DNS only and both DVFS and DNS. From the results obtained indicate that the application of the DNS control scheme is the best because it managed to save an average of 63.42% on the server and almost 100% on the switch for all data center architecture."

"ABSTRAKPemakaian energi pada data center berbasis cloud computing semakin besar maka dari itu diperlukan penghematan pemakaian energi pada komponen data center seperti server dan switch. Skripsi ini membahas evaluasi pemakaian energi pada data center berbasis cloud computing menggunakan simulator GreenCloud yang merupakan ekstensi dari Network Simulator 2 (NS2). Simulasi evaluasi diuji pada arsitektur two-tier, three-tier dan three-tier high-speed dengan tipe Computationally Intensive Workload (CIW) dengan penerapan metode penghematan Dynamic Voltage and Frequency Scaling (DVFS), Dynamic Network Shutdown (DNS) dan DVFS+DNS. Hasil yang diperoleh menunjukkan bahwa penerapan dengan metode DNS menunjukkan penghematan yang paling efisien yaitu penghematan sekitar 69,13% pada server dan hampir 100% pada switch.

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ABSTRACTEnergy consumption in the cloud computing data center is huge. Energy consumption in the data center consists of computation energy consumption, communication energy consumption and non-IT data center facilities energy consumption. In this project we evaluate IT data center energy consumption such as server and switch using GreenCloud Simulator, that is an extension of Network Simulator 2 (NS2). Simulation applied is in the three kind of data center architectures such as two-tier, three-tier and three-tier high-speed with energy saving method such as Dynamic Voltage and Frequency Scaling (DVFS) mechanism, Dynamic Network Shutdown (DNS) mechanism, and both DVFS and DNS mechanism. The type of workload is Computationally Intensive Workload (CIW). The results indicate that the most efficient energy saving mechanism is DNS which saves energy the average of 69,13% on server and almost 100% on switch."

"Skripsi ini berisi mengenai konsep dasar, perancangan dan implementasi enkripsi data dengan RSA yang diterapkan pada private cloud Infrastucture as a Service (IaaS). Tujuan dari skripsi ini menganalisa keamanan pengiriman data dan waktu dari implementasi kriptografi RSA pada sistem Eucalyptus private cloud. Pengiriman data pada sistem virtualisasi private cloud membutuhkan enkripsi untuk mengantisipasi serangan dari man-in-the-middle sehingga penyerang tidak mengetahui isi data dengan mudah. Hasil penelitian menunjukkan bahwa waktu eksekusi program RSA dipengaruhi oleh ukuran data dan nilai kunci RSA yang dibangkitkan. Peningkatan ukuran data akan mempengaruhi peningkatan waktu eksekusi program RSA. Peningkatan waktu eksekusi untuk format .txt sebesar 31,44%, untuk format .doc sebesar 24,83% dan untuk format .pdf sebesar 24,85%. Nilai d untuk kunci privat RSA yang besar akan sangat mempengaruhi waktu eksekusi karena membutuhkan waktu dekripsi yang lebih lama. Sedangkan nilai e yang besar untuk kunci publik RSA tidak terlalu signifikan mempengaruhi waktu enkripsi menjadi lebih lama namun tetap berkontribusi terhadap waktu eksekusi RSA. Keamanan pengiriman data pada sistem private cloud dibutuhkan terutama dengan RSA 2048 bit dan sistem padding, namun pada skripsi ini hanya digunakan enkripsi plain RSA.

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This thesis contains about fundamental concept, the design and the implementation of data encryption using RSA which is applied on private cloud Infrastucture as a Service (IaaS). The purposes of this thesis are to analyze the the data transfer security and the time of RSA cryptography appliance on Eucalyptus private cloud system. Secret data transfer on private cloud virtualization requires encryption in order to anticipated the attack from man-in-the-middle so that the attacker won?t know the contents of data easily.

The result of this research prove that RSA execution time influented by the size of data and the value of the generated RSA keys. Data size increment will influence the execution times of RSA. The increment time for .txt is 31,44%, increment time for .doc is 24,83%, and increment time for .pdf is 24,85%. Large values of d for RSA private key greatly affect the execution time because need a longer decryption time.

However, the large value of e for public keys isn?t influence the encryption time significantly but still contributes the execution time. The security of data transfer on private cloud system is needed especially using RSA 2048 bit and padding system appliance,however this thesis only implement plain RSA encryption."

"Cloud computing adalah teknologi baru hasil pengembangan dari sistem berbasis Internet dengan sumber daya komputasi dalam skala besar yang disediakan melalui Internet untuk pengguna. Aplikasi multimedia pada cloud membutuhkan Quality of Service (QoS) seperti bandwidth, delay, dan lain-lain. Penyediaan QoS merupakan tantangan pada multimedia cloud computing. Penelitian ini mengusulkan sistem QoS MEC, sebuah sistem QoS cloud computing dengan kombinasi teknologi Hadoop dan metode Load Balancing berbasis Eucalyptus untuk aplikasi multimedia. Hadoop merupakan platform yang bersifat open source digunakan untuk data berukuran besar yang diproses secara terdistribusi dan paralel. Load balancing merupakan metode untuk membagi beban kerja server. Hasil pengujian menunjukkan bahwa terjadi percepatan response time dan peningkatan throughput, terbesar terjadi pada saat jumlah koneksi per detik 5000. Persentase percepatan response time video ukuran 58,4 MB, adalah 20,42 %; video ukuran 137 MB, adalah 21,36%; video ukuran 249 MB, adalah 21,51%. Persentase peningkatan throughput video ukuran 58,4 MB, adalah 12,52%; video ukuran 137 MB, adalah 13,39%; video ukuran 249 MB, adalah 14,09%.

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Cloud computing is a new technology development results of Internet-based systems with computing resources on a large scale are provided via the Internet to the user. Multimedia application in the cloud requires Quality of Service (QoS) such as bandwidth, delay, and others. Provision of QoS is a challenge on a multimedia cloud computing.

This research proposed a QoS MEC system, a QoS cloud computing system with technology combination of Hadoop and Load Balancing method based Eucalyptus for multimedia applications. Hadoop is an open source platform which is used for large data that is distributed and processed in parallel. Load balancing is a method to divide the workload of the server.

The test results show that there is accelerated response time and increased throughput and largest occurred when the number of simultaneous access is 5000. Percentage of acceleration response time for video size of 58.4 MB is 20.42%; video size of 137 MB is 21,36%; and video size of 249 MB is 21,51%. The increased percentage of throughput for video size of 58.4 MB is 12,52%; video size of 137 MB is 13,39%; and video size of 249 MB is 14,09%."

""The first chapter gives an overview of cloud computing at a level accessible to a lay person. To motivate the reasons for a paradigm shift in the way we compute and store information, we introduce the concept of network-centric computing and network-centric content. A brief discussion of peer-to-peer systems, a first step in the shift from local to remote data storage and processing follows. The chapter continues with a discussion of technological advances that have made cloud computing possible and of the economical reasons why this new paradigm is attractive for many users and applications. Then we take a closer look at the cloud computing delivery models, Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS gives the users capability to use applications supplied by the service provider but allows no control of the platform or the infrastructure. PaaS gives the capability to deploy consumer-created or acquired applications using programming languages and tools supported by the provider. IaaS allows the user to deploy and run arbitrary software, which can include operating systems and applications. The new paradigm raises ethical questions and has significant vulnerabilities each dissected in separate sections. Finally, the chapter presents the major challenges faced by this new paradigm. The chapter concludes with a overview of the literature and with a historic perspective"--"

"Industri perbankan di Indonesia saat ini belum mengadopsi layanan cloud computing akibat dari peraturan Bank Indonesia dan Pemerintah. Penelitian ini bertujuan menjelaskan faktor-faktor yang mempengaruhi perusahaan perbankan untuk mengadopsi layanan cloud computing dilihat dari konteks technology, environtment, dan organization. Analisis ini menggunakan kerangka TOE (Technology-Organization-Environtment), teori DOI (Diffusion of Innovation), dan metoda PLS (Partial Least Square). Hasil penelitian ini menunjukkan bahwa faktor technology tidak berpengaruh signifikan bagi perusahaan perbankan untuk mengadopsi cloud computing, namun faktor organization dan environtment berpengaruh signifikan bagi perusahaan perbankan dalam mengadopsi cloud computing, dimana model yang dihasilkan dalam penelitian ini cukup kuat (moderate) sebesar 36.1 %.

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The banking industry in Indonesia has yet to adopt cloud computing services as a result of the regulation of Bank Indonesia and the Government. This study aims to explain the factors that affect the banking companies to adopt cloud computing services viewed from the context of technology, environtment, and organization. This analysis uses a framework TOE (Technology-Organization-Environment), the theory DOI (Diffusion of Innovation), and the method of PLS (Partial Least Square).

These results indicate that the technology factors had no significant effect for banking companies to adopt cloud computing, but the organization and environtment influential factors significant for the banking companies to adopt cloud computing, where the model is produced in this study is quite strong (moderate) of 36.1%."

"ABSTRAKPemanfaatan Teknologi Informasi dalam sebuah organisasi merupakan sebuah alat penting dalam mencapai tujuan bisnis organisasi tersebut. Salah satu teknologi yang dapat mencapai tujuan tersebut adalah cloud computing, yang memungkinkan layanan dapat diakses dari mana saja secara nyaman. Cloud computing juga dapat memungkinkan akses terhadap layanan jaringan bersama dari suatu sumber daya komputasi yang telah dikonfigurasi.Penelitian ini bertujuan untuk mengidentifikasi kesesuaian Kementerian Luar Negeri RI dalam mengadopsi cloud computing dengan menggunakan pemodelan Misra Mondal Model dan menentukan tipe cloud deployment yang tepat menggunakan pendekatan AHP (Analytic Hierarchy Process) serta kriteria yang ditentukan berdasarkan analisa BCOR (Benefit, Cost, Opportunity, Risk). Dalam penelitian ini dilakukan wawancara, penyebaran kuesioner dan juga studi literatur untuk metode pengumpulan datanya.Hasil dari penelitian ini yaitu organisasi Kementerian Luar Negeri berada di range yang dapat dimungkinkan untuk mengadopsi teknologi cloud. Sedangkan hasil penelitian untuk tipe deployment yang paling sesuai di Kementerian Luar Negeri adalah tipe deployment private cloud.

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ABSTRACTThe use of information technology in an organization is an important tool to achieve the business goals of the organization. One of the technology that can be used for that purpose is cloud computing which enable some services could comfortably accessed anywhere. Cloud computing also enabling access to the shared network in some computing resource that have been configured.The purpose of this research are to identify the suitability of cloud computing adoption by using Misra Mondal model and to select the most suitable cloud deployment type by using AHP (Analytic Hierarchy Process) and the specified criteria by using BCOR (Benefit, Cost, Opportunity, Risk) Analysis. On this research, the data collection method are interviews, questionnaires, and also study the literature.The results from this research is that Ministry of Foreign Affairs on the range which cloud computing technology could be possible to adopt. While the other results of this research in the Ministry of Foreign Affairs for the most appropriate type of cloud deployment type is private cloud type."