Pemanfaatan Cloud Computing Pada Aplikasi Ngekost Berbasis Android

Ngekost is an android-based boarding search application that utilizes the Internet as a medium of exchange data. The use of mobile android application as a tool to access something that is connected to the Internet to help users find a variety of information. Ngekost applications builtby using cloud computing as a technology that makes the Internet as a central storage server to manage data and information. One media system making cloud computing is to use a Virtual Private Server (VPS) as a virtual server. Applications Ngekost offers boarding house in the city of Yogyakarta, Malang, and Makassar with centralized image data on the storage servers each - each city boarding information and data stored on the database webserver. Services provided on the application can be accessed via the website owners to register them boarding, boarding entering data and images, while searches for boarding accessed via mobile android. The results of testing this application indicates that the application Ngekost by leveraging cloud computing can be usedas an information service for owners and seekers boarding based regional city o f Yogyakarta, Malang, and Makassar

TLS Adaptation for Virtualized Border Gateway

WiFi radio access technology is being adopted as a part of the current small cell solutions of mobile networks. Any WiFi network with Internet connectivity can be used by the mobile device to access packet-based LTE services like voice calling and instant messaging. This service traffic is strictly confidential and needs to be protected with encryption when an untrusted access, i.e., a public hotspot access, is used. This new scenario requires a new network element that terminates the encrypted service connection. For Nokia Networks this element is called the Border Gateway. At the same time the telecommunications industry is moving towards cloud computing so network elements are being virtualized to operate on virtual machines running in the cloud instead of the current embedded systems. This thesis begins by discussing the current industry landscape and how both the WiFi small cells and the cloud-based network infrastructure are partly answering the problem of rapidly growing mobile data consumption. The focus of the thesis is studying the capabilities of the Border Gateway on the context of non-real-time service traffic encryption, with an emphasis on the virtualized platform. Also a general network security related validation is performed, as this element exists for providing security features. The virtualized Border Gateway proved to be ten times more capable than the original embedded system, because the current x86-based processors used in the cloud offer significantly more performance than the digital signal processors in the embedded system. The fact that the Unix operating system and related software in the cloud are mostly open source, proved that security related testing only needed to be performed on the embedded platform, as there the platform software is closed-source and not already verified by the masses

Investigation into Mobile Learning Framework in Cloud Computing Platform

Abstract—Cloud computing infrastructure is increasingly used for distributed applications. Mobile learning applications deployed in the cloud are a new research direction. The applications require specific development approaches for effective and reliable communication. This paper proposes an interdisciplinary approach for design and development of mobile applications in the cloud. The approach includes front service toolkit and backend service toolkit. The front service toolkit packages data and sends it to a backend deployed in a cloud computing platform. The backend service toolkit manages rules and workflow, and then transmits required results to the front service toolkit. To further show feasibility of the approach, the paper introduces a case study and shows its performance

A Crowd-Assisted Real-time Public Transport Information Service: No More Endless Wait

Many passengers have expressed frustration in waiting for public bus endlessly without knowing the estimated ar- rival time. In many developing countries, requiring bus operators to invest in the installation of a GPS unit on every bus in order to track the bus location and subsequently predicting the bus arrival time can be costly. This paper proposes passenger-assisted sharing of bus location to provide an estimation of bus arrival time. Our scheme aims to exploit the availability and capability of passenger mobile phones to share location information of the travelling buses in order to collect transportation data, at the same time provide an estimation of bus arrival time to the general public. A mobile app is developed to periodically report bus location to the cloud service, and it can detect location spoofing by malicious users. The preliminary results of the field tests suggest that the proposed system is viable and the predicated ETA falls within three minutes of the bus actual arrival time

Scaling Virtualized Smartphone Images in the Cloud

Üks selle Bakalaureuse töö eesmärkidest oli Android-x86 nutitelefoni platvormi juurutamine pilvekeskkonda ja välja selgitamine, kas valitud instance on piisav virtualiseeritud nutitelefoni platvormi juurutamiseks ning kui palju koormust see talub. Töös kasutati Amazoni instance'i M1 Small, mis oli piisav, et juurutada Androidi virtualiseeritud platvormi, kuid jäi kesisemaks kui mobiiltelefon, millel teste läbi viidi. M1 Medium instance'i tüüp oli sobivam ja näitas paremaid tulemusi võrreldes telefoniga. Teostati koormusteste selleks vastava tööriistaga Tsung, et näha, kui palju üheaegseid kasutajaid instance talub. Testi läbiviimiseks paigaldasime Dalviku instance'ile Tomcat serveri. Pärast teste ühe eksemplariga, juurutasime külge Elastic Load Balancing ja automaatse skaleerimise Amazon Auto Scaling tööriista. Esimene neist jaotas koormust instance'ide vahel. Automaatse skaleerimise tööriista kasutasime, et rakendada horisontaalset skaleerimist meie Android-x86 instance'le. Kui CPU tõusis üle 60% kauemaks kui üks minut, siis tehti eelmisele identne instance ja koormust saadeti edaspidi sinna. Seda protseduuri vajadusel korrati maksimum kümne instance'ini. Meie teostusel olid tagasilöögid, sest Elastic Load Balancer aegus 60 sekundi pärast ning me ei saanud kõikide välja saadetud päringutele vastuseid. Serverisse saadetud faili kirjutamine ja kompileerimine olid kulukad tegevused ja seega ei lõppenud kõik 60 sekundi jooksul. Me ei saanud koos Load Balancer'iga läbiviidud testidest piisavalt andmeid, et teha järeldusi, kas virtualiseeritud nutitelefoni platvorm Android on hästi või halvasti skaleeruv.In this thesis we deployed a smartphone image in an Amazon EC2 instance and ran stress tests on them to know how much users can one instance bear and how scalable it is. We tested how much time would a method run in a physical Android device and in a cloud instance. We deployed CyanogenMod and Dalvik for a single instance. We used Tsung for stress testing. For those tests we also made a Tomcat server on Dalvik instance that would take the incoming file, the file would be compiled with java and its class file would be wrapped into dex, a Dalvik executable file, that is later executed with Dalvik. Three instances made a Tsung cluster that sent load to a Dalvik Virtual Machine instance. For scaling we used Amazon Auto Scaling tool and Elastic Load Balancer that divided incoming load between the instances

Integrated context-aware and cloud-based adaptive home screens for android phones

This is the post-print version of this Article. The official published version can be accessed from the link below - Copyright @ 2011 Springer VerlagThe home screen in Android phones is a highly customizable user interface where the users can add and remove widgets and icons for launching applications. This customization is currently done on the mobile device itself and will only create static content. Our work takes the concept of Android home screen [3] one step further and adds flexibility to the user interface by making it context-aware and integrated with the cloud. Overall results indicated that the users have a strong positive bias towards the application and that the adaptation helped them to tailor the device to their needs by using the different context aware mechanisms