82,337 research outputs found

    An Auction Mechanism for Resource Allocation in Mobile Cloud Computing Systems

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    A mobile cloud computing system is composed of heterogeneous services and resources to be allocated by the cloud service provider to mobile cloud users. On one hand, some of these resources are substitutable (e.g., users can use storage from different places) that they have similar functions to the users. On the other hand, some resources are complementary that the user will need them as a bundle (e.g., users need both wireless connection and storage for online photo posting). In this paper, we first model the resource allocation process of a mobile cloud computing system as an auction mechanism with premium and discount factors. The premium and discount factors indicate complementary and substitutable relations among cloud resources provided by the service provider. Then, we analyze the individual rationality and incentive compatibility (truthfulness) properties of the users in the proposed auction mechanism. The optimal solutions of the resource allocation and cost charging schemes in the auction mechanism is discussed afterwards

    Management system prototype for intelligent mobile cloud computing for big data

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    The current challenge of mobile devices is the storage capacity that has led service providers to develop new value-added mobile services. To address these limitations, mobile cloud computing, which offers on-demand is developed. Mobile Cloud Computing (MCC) is developed to augment device capabilities, facilitating to mobile users store, access to a big dataset on the cloud. Even so, given the limitations of bandwidth, latencies, and device battery life, new responses are required to extend the use of mobile devices. This paper presents a novel design and implementation of developing process on intelligent mobile cloud storage management system, also called as Intelligent Mobile Cloud Computing (IMCC) for android based users. IMCC is important for cloud storage user to make their data effectively and efficiently for saving the user time. IMCC provided convenience for user to use multiple cloud storage using one application and easy for users to store their data to any cloud storage. The result shows using IMCC it only took 8 seconds to access the data, which is faster compared with traditional MCC, it took 23.33 seconds. IMCC reduce 65.71% of latency occur using the MCC in managing a user data. The developed IMCC prototype is accessible through the Google Play Store

    A Review on Data Storage Security in Cloud Computing Environment for Mobile devices

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    Cloud computing is a platform which provides different capabilities which are not just limited to storage, networking and computing capability as a service to users through Internet. Users can automatically request and release these resources on demand, by paying charges for the quantity and quality of service they use. Cloud computing for Mobile which is also referred as Mobile Cloud Computing is combination of mobile with cloud computing that provides user with unlimited access to the pool of different resources from cloud without affecting mobilization of user with his Mobile. As with its advantages it comes with the risk of data read by the cloud service provider or been grabbed by someone else using man-in-middle attack, thus affecting user privacy and integrity and losing users trust further over the service. These issues can be solved by implementing different techniques like encryption, avoiding unauthorized access to user to have access to stored data. Any algorithm or technique used for securing data should consider few important points like Mobile devices are battery powered and have less processing capability and have less storage space. In this paper we reviewed different techniques for secure storage of user’s data in the cloud, their advantages and disadvantages for mobile cloud computing environment. DOI: 10.17762/ijritcc2321-8169.150514

    Ensuring the Data Integrity and Confidentiality in Cloud Storage Using Hash Function and TPA

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    Main call for Cloud computing is that users only utilize what they required and only pay for whatever they are using. Mobile Cloud Computing refers to an infrastructure where data processing and storage can happen away from mobile device. Research estimates that mobile subscribers worldwide will reach 15 billion by the end of 2014 and 18 billion by at the ending of 2016. Due to increasing use of mobile devices the requirement of cloud computing in mobile devices arise, which evolves Mobile Cloud Computing. Mobile devices require large storage capacity and maximum CPU speed. As we are storing data on cloud there is an issue of data security. As there is risk associated with data storage many IT professionals are not showing their interest towards Mobile Cloud Computing. To ensure the users' data correctness in the cloud, here we are proposing an effective mechanism with salient feature of data integrity and confidentiality. This paper proposed a solution which uses the RSA algorithm and mechanism of hash function along with various cryptography tools to provide better security to the data stored on the cloud. This model can not only solve the problem of storage of massive data, but also make sure that it will give data access control mechanisms and ensure sharing data files with confidentiality and integrity. DOI: 10.17762/ijritcc2321-8169.15055

    Secure Framework in Data Processing for Mobile Cloud Computing

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    Generally Mobile Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users ‘physical possession of their outsourced data, which inevitably poses new security risks towards the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a new secure framework. In addition to providing traditional computation services, mobile cloud also enhances the operation of traditional ad hoc network by treating mobile devices as service nodes, e.g., sensing services. The mobile services or sensed information, such as location coordinates, health related information, should be processed and stored in a secure fashion to protect user’s privacy in the cloud. In this paper, we present a new mobile cloud data processing framework through trust management and private data isolation. Finally, an implementation pilot for improving teenagers’ driving safety, which is called FocusDrive, is presented to demonstrate the solution

    Analyzing Privacy Policies of Zero Knowledge Cloud Storage Applications on Mobile Devices

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    With the rapid growth of mobile applications and the increase number of mobile users, many cloud storage services started to design stand-alone mobile applications that can be used to access files remotely from mobile and share them. In this paper, an in-depth analysis has been performed on the privacy policies of zero knowledge cloud storage applications on mobile. The analysis includes the type of information collected, collection mechanisms, purpose for collection, sharing of information, user controls and information retention period. The results showed that most privacy policies addressed important areas of information collection, purposes of collection, information sharing and users' controls. On the other hand, many policies lacked detailed information of the data retention period

    Domain restricted secure podcasts

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    This disclosure describes techniques to securely provide access to audio files across desktop and mobile devices. The audio files, e.g., audio recordings that are part of a podcast, are converted to multimedia files of similar filesize. The converted files, which can optionally include a graphic related to the audio, are uploaded to secure, view-only cloud storage and configured for access by selected users, e.g., users within a particular domain. Access to the files is provided by a widget that can enable users to play the audio via any desktop or mobile device that can access the cloud storage service

    Cloud Based Application Development for Accessing Restaurant Information on Mobile Device using LBS

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    Over the past couple of years, the extent of the services provided on the mobile devices has increased rapidly. A special class of service among them is the Location Based Service(LBS) which depends on the geographical position of the user to provide services to the end users. However, a mobile device is still resource constrained, and some applications usually demand more resources than a mobile device can a ord. To alleviate this, a mobile device should get resources from an external source. One of such sources is cloud computing platforms. We can predict that the mobile area will take on a boom with the advent of this new concept. The aim of this paper is to exchange messages between user and location service provider in mobile device accessing the cloud by minimizing cost, data storage and processing power. Our main goal is to provide dynamic location-based service and increase the information retrieve accuracy especially on the limited mobile screen by accessing cloud application. In this paper we present location based restaurant information retrieval system and we have developed our application in Android.Comment: 11 pages, 10 figure

    On Mobile Cloud Computing in a Mobile Learning System

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    In the recent years, the nature of the Internet was constantly changing from a place used to read web pages to an environment that allows end-users to run software applications. Interactivity and collaboration have become the keywords of the new web content. This new environment supports the creation of a new generation of applications that are able to run on a wide range of hardware devices, like Mobile Phones or Personal Digital Assistants (PDAs) and this development gives rise to Mobile Cloud Computing. Mobile Cloud Computing at its simplest refers to an infrastructure where both the data storage and the data processing take place outside of the mobile device. Mobile cloud applications move the computing power and data storage away from mobile phones and into the cloud, bringing applications and mobile computing to not just smartphone users but a much broader range of mobile subscribers. In this work, Mobile learning system is designed based on electronic learning (e-learning) and mobility, within the context of mobile cloud computing. However, traditional m-learning applications have limitations in terms of high cost of devices and network, low network transmission rate, and limited educational resources; this cloud-based -learning application is introduced to solve these limitations. A mobile website is developed as well as a mobile application, this services which will be offered free, which will then gather relevant information in relation to the individuals’ topic of interest from a database located on a remote server and also web-links gotten from the cloud (internet) to expand the knowledge and understanding of the individual in the area of interest. Keyword: Cloud Computing, Mobile Learning System, Mobile Device

    A Study on Emerging Trends and Challenges in Mobile Cloud Computing

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    The proficiencies of mobile devices and mobile application continues to improve swiftly in relation to speed, computing power, storage and real world user friendly applications. Survey carried out by the Gartner Company (Famous global analytical consulting company) predicted more users to access the internet from the mobile devices than from the PCs by the year 2013. The outburst of the development in smart phones, applications and cloud computing concept has introduced Mobile Cloud Computing (MCC) as a dynamic technology for mobile devices. Mobile Cloud Computing (MCC) incorporates cloud computing into the mobile environment and overcome some problems in performance (e.g., battery life, storage), environment (e.g., scalability, availability) and security (reliability and privacy).Since MCC is still at primary stage of development we have to first theoretically understand the technology which would later on help us in the prediction of future research. In this paper, we introduce the background and theory of Mobile Cloud Computing (MCC), the benefits of MCC, challenges faced in MCC and finally some proposed possible future solution
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