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"ABSTRAKDalam rangka meningkatkan kebutuhan kapasitas tempat penyimpanan yang terpusat dan dapat di akssess dimana saja dengan beberapa user serta meramingkan pengelolaan hardware maka di buatlah IT infrastruktur berupa server yang menggunakan system berbasis network attached storage (NAS), ini menrupakan prototype internal dalam hal cloud storage yang memiliki jaringan tersendiri serta berfungsi sebagai pusat penyimpanan data dan sharing data menggunakan internet tanpa keterbatasan yang harus membawa alat penyimpanan data tambahan saat berpergian.

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ABSTRACTIn order to increase the need of centralized storage capacity and enhance the accessing in anywhere with multiple users and streamline hardware management, IT infrastructure is made in the form of server using a network attached storage (NAS) based system, this is an internal prototype in terms of cloud storage that has separate network and server as a center for data storage and data sharing using the internet without limitations that must carry additional data storage tools when traveling."

"Computation and storage in the cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users. Describes several novel strategies for storing application datasets in the cloud. Includes real-world case studies of scientific research applications."

"Ikan merupakan salah satu produk unggulan di Indonesia yang mana hampir seluruh rakyatnya akan mengonsumsi produk tersebut, disamping itu ikan juga merupakan produk yang rentan terhadap kebusukan. Cold storage berbasis ice slurry dapat dijadikan media penyimpanan ikan agar dapat menjaga kesegaran dan meningkatkan lifetime produk dari penangkapan sampai kepada konsumen. Tujuan penelitian ini dapat merancang cold storage ikan dan thermal energy storage untuk ice slurry dan juga mengetahui pengaruh putaran scrapper terhadap production rate ice slurry. Parameter penelitian ini adalah production rate ice slurry dan daya ice slurry generator dengan putaran pompa konstan 1800 RPM terhadap variasi scrapper 2400 RPM hingga 2640 RPM dan salinitas yang digunakan sebesar 10 ppt. Perancangan cold storage dengan menempatkan di daerah Sulawesi Selatan sebagai model yang digunakan untuk menyimpan ikan Tuna Cakalang berkapasitas 40 ton dan perancangan thermal energy storage untuk ice slurry yang terintegrasi dengan ice slurry generator sebagai media pendukung pendingininan ikan pada cold storage. Production rate ice slurry terbaik pada penelitian ini adalah 0.18984 ton/12hr pada putaran pompa konstan 1800 RPM dan putaran scrapper 2640 RPM dengan salinitas 10 ppt. Cooling load perancangan cold storage dengan kapasitas ikan Tuna Cakalang 40 ton didapatkan sebesar 21 TR dan perancangan thermal energy storage didapatkan dimensi 25.5 x 25.5 x 5 meter dengan kapasitas penyimpanan 3001.73 ton ice slurry dan ketahanan es terjaga selama 3.6 jam juga perbandingan linear model ice slurry generator lab dengan kebutuhan perancangan dibutuhkan sebanyak 19 unit. Kebutuhan ice slurry terhadap 1 ekor ikan Tuna berbobot 80 kg sebanyak 7.38 kg ice slurry.

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Fish is one of the excellent products in Indonesia where almost all people will consume these products, besides fish is also a product that is vulnerable to decay. Cold storage based ice slurry can be used as a fish storage media in order to maintain freshness and increase product lifetime from catching to the consumer. The purpose of this research is to design cold storage fish and thermal energy storage for ice slurry and also to know the effect of scrapper rotation to production rate ice slurry. The parameters of this research are production rate ice slurry and power of ice slurry generator with 1800 RPM constant pump rotation to 2400 RPM scrapper variation up to 2640 RPM and salinity used 10 ppt. The design of cold storage by locating in South Sulawesi area as a model used to store Tuna skipjack with 40 ton capacity and design of thermal energy storage for ice slurry which integrated with ice slurry generator as supporting media of fish cooling in cold storage. The best Production rate of ice slurry in this study was 0.18984 ton 12hr at constant pump speed 1800 RPM and scrapper rotation 2640 RPM with 10 ppt salinity. Cooling load design of cold storage with skipjack Tuna 40 tons capacity was obtained by 21 TR and design of thermal energy storage got dimension 25.5x25.5x5 meter with storage capacity 3001.73 ton ice slurry and ice can stand for 3.6 hours also comparison linear model ice slurry generator lab with requirement of design it takes 19 unit. Ice slurry needs for 1 Tuna with weight 80 kg as much as 7.38 kg ice slurry."

"This book analyses the various security threats in cloud computing. A host-based IDS (HIDS) using signature verification is developed and implemented for the concerned security issues. Further, owing to the vulnerability of distributed denial of service (DDoS) attacks in cloud computing, a network based IDS (NIDS) is developed and implemented against such attacks. The performance of these IDS is verified in the Cloud scenario as well against the standard data set. Finally, a simple data storage and security model is developed and implemented for the Cloud computing scenario. The contents of this book will be of interest to researchers and professionals alike."

"Data dari International Association of Refrigerated Warehouse (IARW) mengeluarkan laporan kapasitas cold storage, dimana India menduduki puncak kapasitas terbesar dengan kapasitas 131 juta meter kubik, yang kemudian disusul oleh Amerika dengan kapasitas 115 juta meter kubik Indonesia dibanding dengan Negara lain seperti India, Amerika,masih tertinggal jauh dengan kapasitas cold storage sebanyak 200 ribu meter kubik. Maka dari hal tersebut Indonesia masih perlu memperluas dan memperbanyak perusahaan penyedia jasa cold storage untuk membantu menangani permintaan kebutuhan cold storage yang terus meningkat. Contoh nya ada beberapa perusahaan di Indonesia seperti PT Adib Cold Logistics yang menyediakan beragam layanan kontrol suhu seperti cold storage dan chiller. Dilengkapi dengan sistem pendingin Mayekawa Newton terbaru yang aman untuk lingkungan dan menghasilkan suhu yang stabil dalam rentang -25˚C hingga +25˚C. Akan tetapi setiap perusahaan yang menyediakan jasa pendinginan, terutama yang menggunakan cold storage pasti akan mengeluarkan biaya untuk melakukan kegiatan maintenance. Terdapat beberapa faktor yang akan mempengaruhi biaya maintenance perusahaan, yang paling utama adalah sistem refrigerasi yang digunakan. Karena dari sistem refrigerasi yang digunakan perlu dilakukan pengecekan dan perbaikan berkala, terhadap komponen sistem refrigerasi seperti kompresor, kondensor dan evaporator. Untuk menghitung nya ,diusulkan perhitungan mengenai perhitungan beban pendingin, kapasitas pendingin dengan diagram psikometri dan perhitungan COP untuk dibandingkan dengan spesifikasi dari sistem pendingin Mayekawa Newton.Studi ini membahas mengenai apakah PT.Adib Cold Logistic sudah berjalan sesuai dengan spesifikasi alat Mayekawa Newton dalam mendinginkan cold storage nya. Dalam studi ini dilakukan perhitungan  beban pendingin pada beban produk, beban lampu, beban orang, beban elektrikal, beban material, dan beban infiltasi. Dilakukan juga perhitungan kapasitas pendingin melalui diagram psikometri dari diagram p-h. Metodologi yang digunakan yaitu metode kuantitafi  dan eksperimen . Metode kuantitatif akan dilakukan pengambilan data secara langsung di PT.Adib Cold Logistic . Metode Analitik  akan melakukan perhitungan yang berfokus kepada beban pendingin serta kapasitas pendingin sesuai dengan rumus yang berlaku . Berdasarkan hasil studi didapatkan bahwa beban pendingin dapat berkurang sebanyak 4,27 kW dengan menerapkan improvement yang diberikan oleh penulis, dan dapat menghemat biaya Rp.53.299.028 dalam rentang 1 tahun.

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ata from the International Association of Refrigerated Warehouse (IARW) has released a report on cold storage capacity, where India ranks first with the largest capacity of 131 million cubic meters, followed by the United States with a capacity of 115 million cubic meters. Compared to other countries like India and the United States, Indonesia is still far behind with a cold storage capacity of only 200,000 cubic meters. Therefore, Indonesia still needs to expand and increase the number of cold storage service providers to help meet the increasing demand for cold storage. An example of such companies in Indonesia is PT Adib Cold Logistics, which provides various temperature control services such as cold storage and chiller. Equipped with the latest Mayekawa Newton cooling system that is environmentally friendly and produces stable temperatures ranging from -25˚C to +25˚C. However, every company that provides cooling services, especially those using cold storage, will incur costs for maintenance activities. There are several factors that will affect the maintenance costs of a company, with the most important one being the refrigeration system used. Because periodic checks and repairs need to be carried out on components of the refrigeration system such as compressors, condensers, and evaporators. To calculate these costs, it is proposed to calculate the cooling load, cooling capacity using psychrometric charts, and COP calculations to compare them with the specifications of the Mayekawa Newton cooling system. This study discusses whether PT Adib Cold Logistics operates according to the specifications of the Mayekawa Newton equipment in cooling its cold storage. In this study, calculations are made for the cooling load on product load, lighting load, personnel load, electrical load, material load, and infiltration load. Cooling capacity is also calculated using psychrometric charts from the p-h diagram. The methodology used is quantitative and experimental. The quantitative method involves collecting data directly from PT Adib Cold Logistics. The analytical method focuses on calculating the cooling load and cooling capacity according to applicable formulas. Based on the study results, it was found that the cooling load can be reduced by 4,27 kW by implementing the improvements provided by the author, resulting in a cost savings of Rp.53.299.028 within a one-year period."

"Private Cloud merupakan pemodelan teknologi Cloud Computing yang hanya memberikan layanan kepada pengguna tertentu. Kebutuhan akan performa server yang baik, tentunya mempengaruhi layanan yang ditawarkan suatu provider cloud kepada penggunanya. Oleh karena itu, pembuatan Cloud Computing dengan memilih layanan Private Cloud pada skripsi ini dilakukan dengan membuat simulasi nyata pada jaringan fisik menggunakan CentOS dengan Eucalyptus di dalamnya. Metode instalasi menggunakan konfigurasi Cloud in a Box. Lima pengujian diimplementasikan untuk mengetahui performa server Private Cloud ini. Instances dibuat sibuk seolah-olah menjalankan sebuah aplikasi sehingga terlihat kinerja dari server cloud. Parameter pengujian yang digunakan untuk pengukuran performa server adalah Load Average, CPU Usage dan Memory Usage. Dari hasil pengukuran menunjukkan bahwa parameter Load Average dengan load tertinggi sebesar 4,35 satuan proses dan CPU Usage tertinggi mencapai nilai 95,04% ketika seluruh instance aktif menjalankan aplikasi. Memory usage server mencapai 4740,95 MB dan untuk seluruh instance menggunakan memori sebesar 29,37% dari penggunaan memori pada server. Tiga parameter di atas menunjukkan kesesuaian server cloud dalam menangani pengguna pada jaringan privat IaaS ini dengan konsep Cloud IaaS pada umumnya.

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Private Cloud is a technology model of Cloud computing that only provide service to a particular user. Requirement for a good server performance, of course, affect the service offered to the user of a cloud provider. Therefore, making cloud computing by choosing a Private Cloud service in this thesis was to create a simulation of the real physical network using CentOS with Eucalyptus in it. Installation method using configuration Cloud in a Box. Five tests are implemented to determine the performance of the server's Private Cloud. Instances kept busy as running an application and visible the performance of the server cloud. Testing parameters used to measure the performance of the server is the Load Average, CPU Usage and Memory Usage.

From the measurement results indicate that the parameter Load Average with the highest load of 4.35 units and the highest CPU usage reaches 95.04% when all active instances running the application. Memory usage of server and to achieve 4740.95 MB memory instances amounting to 29.37%. Three parameters above indicates suitability of cloud servers to handle the user's private network to the concept of Cloud IaaS IaaS in general."

"Cloud networking : understanding cloud-based data center networks explains the evolution of established networking technologies into distributed, cloud-based networks. Starting with an overview of cloud technologies, the book explains how cloud data center networks leverage distributed systems for network virtualization, storage networking, and software-defined networking. The author offers insider perspective to key components that make a cloud network possible such as switch fabric technology and data center networking standards. The final chapters look ahead to developments in architectures, fabric technology, interconnections, and more. By the end of the book, readers will understand core networking technologies and how they’re used in a cloud data center."