Mobile Cloud Computing

Top documents about Mobile Cloud Computing:

An Efficient and Secured Framework for Mobile Cloud Computing

An Efficient and Secured Framework for Mobile Cloud Computing

for giving data security so Mobile Cloud Computing might be comprehensively recognized by different customers in future. It moreover suggested an instrument to give arrangement, get the opportunity to control similarly as uprightness to versatile customers. The handling capacity of convenient structures is improved by Cloud enlisting. Mobile phones can rely upon conveyed processing to perform computationally genuine exercises, for instance, looking data mining, etc. The use of flexible circulated registering vanquishes execution related tangles for instance exchange speed, amassing point of confinement and battery life, similarly as condition related issues for instance openness, flexibility and heterogeneity. Dispersed registering is changing the Internet handling establishment. Since by far many organizations are access from cloud over Internet, MCC has been introduced. The security hazard has pushed toward getting to be obstruction in the brisk improvement and generous usage of flexible conveyed processing perspective. The security perils have advanced toward getting to be catches in the quick flexibility of the versatile appropriated figuring perspective. Basic undertakings have been submitted in research affiliations and the insightful network to build secure versatile appropriated processing circumstances and systems. This paper reviews the possibility of adaptable conveyed figuring similarly as problems of security normal inside the setting of convenient application & disseminated registering. The standard vulnerabilities in structures with possible game plans are discussion about here.

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Study on Mobile Cloud Computing, It's Architecture, Challenges and Various Trends

Study on Mobile Cloud Computing, It's Architecture, Challenges and Various Trends

MOBILE CLOUD COMPUTING: Mobile devices are increasingly becoming an essential part of human life as the most effective communication tools not bounded by time and place. Mobile users accumulate rich experience of various services from mobile applications, which run on the devices and/or on remote servers via wireless networks. The rapid progress of mobile computing (MC) becomes a powerful trend in the development of IT technology as well as commerce and industry fields. However, the mobile devices are facing many challenges in their resources (e.g., battery life, storage, and bandwidth) and communications (e.g., mobility and security). The limited resources significantly impede the improvement of service qualities [5].

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A Lightweight Protected Data Sharing Method for Mobile Cloud Computing

A Lightweight Protected Data Sharing Method for Mobile Cloud Computing

The state-of-the-art privilege management/access control mechanisms provided by the CSP are either not sufficient or not very convenient. First, when people upload their data files onto the cloud, they are leaving the data in a place where is out of their control, and the CSP may spy on user data for its commercial interests and/or other reasons. Second, people have to send password to each data user if they only want to share the encrypted data with certain users, which is very cumbersome. To simplify the privilege management, we propose a Lightweight Data Sharing Scheme (LDSS) for mobile cloud computing environment. The main contributions of LDSS are as follows:

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A Lightweight Protected Data Sharing Method for Mobile Cloud Computing

A Lightweight Protected Data Sharing Method for Mobile Cloud Computing

The state-of-the-art privilege management/access control mechanisms provided by the CSP are either not sufficient or not very convenient. First, when people upload their data files onto the cloud, they are leaving the data in a place where is out of their control, and the CSP may spy on user data for its commercial interests and/or other reasons. Second, people have to send password to each data user if they only want to share the encrypted data with certain users, which is very cumbersome. To simplify the privilege management, we propose a Lightweight Data Sharing Scheme (LDSS) for mobile cloud computing environment. The main contributions of LDSS are as follows:

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Mobile cloud computing: a review on smartphone augmentation approaches

Mobile cloud computing: a review on smartphone augmentation approaches

perform heavy local transactions. Instead, intensive components’ execution will be performed in collab- orative environment, where powerful computing de- vices perform code execution on behalf of the weak smartphone. By rapid proliferation of cloud comput- ing technology [5], cloud resources are highly uti- lized in recent approaches [6,25,36,37]. Cloud com- puting is envisioned to deliver elastic computing ca- pability to end-user based on “pay as you use” prin- cipal and Service-Level Agreement (SLA). SLA is a negotiable part of the service contract, between cloud provider and consumer, to define and enforce service level against an agreed cost. Successful exploitation of cloud resources in stationary machines, motivates elastic resources for mobile devices specially smart- phones in wireless ecosystem that breed new com- puting field, called Mobile Cloud Computing (MCC). MCC deemed to reduce the ownership and mainte- nance cost of mobile devices and conserve local re- sources by leveraging cloud distributed resources.

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MOBILE CLOUD COMPUTING FUTURE AND CHALLENGES

MOBILE CLOUD COMPUTING FUTURE AND CHALLENGES

Mobile cloud computing is the combination of cloud computing and mobile networks to bring benefits for mobile users, network operators, as well as cloud providers. Cloud computing exists when tasks and data are kept on the Internet rather than on individual devices, providing on-demand access. Mobile cloud computing can involve other mobile devices and/or servers accessed via the Internet[2]. A related notion is cloudlets, which has been viewed in different ways[3]. In Mobile cloud computing the foundational hardware consists of mobile devices. Mobile cloud computing as a form of service provider, this has several concepts like 1. IaaS Infrastructure as a service 2. PaaS Platform as service 3. SaaS Software as a service.

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Heterogeneity in mobile cloud computing: taxonomy and open challenges

Heterogeneity in mobile cloud computing: taxonomy and open challenges

Abstract—The unabated flurry of research activities to aug- ment various mobile devices by leveraging heterogeneous cloud resources has created a new research domain called Mobile Cloud Computing (MCC). In the core of such a non-uniform environment, facilitating interoperability, portability, and inte- gration among heterogeneous platforms is nontrivial. Building such facilitators in MCC requires investigations to understand heterogeneity and its challenges over the roots. Although there are many research studies in mobile computing and cloud com- puting, convergence of these two areas grants further academic efforts towards flourishing MCC. In this paper, we define MCC, explain its major challenges, discuss heterogeneity in convergent computing (i.e. mobile computing and cloud computing) and networking (wired and wireless networks), and divide it into two dimensions, namely vertical and horizontal. Heterogeneity roots are analyzed and taxonomized as hardware, platform, feature, API, and network. Multidimensional heterogeneity in MCC results in application and code fragmentation problems that impede development of cross-platform mobile applications which is mathematically described. The impacts of heterogeneity in MCC are investigated, related opportunities and challenges are identified, and predominant heterogeneity handling approaches like virtualization, middleware, and service oriented architecture (SOA) are discussed. We outline open issues that help in identi- fying new research directions in MCC.

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Mobile Cloud Computing pdf

Mobile Cloud Computing pdf

This book comprehensively debates on the emergence of mobile cloud computing from cloud computing models. Various technological and architectural advancements in mobile and cloud computing have been reported. It has meticulously explored the design and architecture of computational offloading solutions in cloud and mobile cloud computing domains to enrich mobile user experience. Furthermore, to optimize mobile power consumption, existing solutions and policies toward green mobile computing, green cloud computing, green mobile networking, and green mobile cloud computing are briefly discussed. The book also presents numerous cloud and mobile resource allo- cation and management schemes to efficiently manage existing resources (hardware and software). Recently, integrated networks (e.g., WSN, VANET, MANET) have sig- nificantly helped mobile users to enjoy a suite of services. The book discusses existing architecture, opportunities, and challenges, while integrating mobile cloud comput- ing with existing network technologies such as sensor and vehicular networks. It also briefly expounds on various security and privacy concerns, such as application security, authentication security, data security, and intrusion detection, in the mobile cloud com- puting domain. The business aspects of mobile cloud computing models in terms of resource pricing models, cooperation models, and revenue sharing among cloud pro- viders are also presented in the book. To highlight the standings of mobile cloud comput- ing, various well-known, real-world applications supported by mobile cloud computing models are discussed. For example, the demands and issues while deploying resource- intensive applications, including face recognition, route tracking, traffic management, and mobile learning, are discussed. This book concludes with various future research directions in the mobile cloud computing domain to improve the strength of mobile cloud computing and to enrich mobile user experience.

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Protecting Data on Mobile Cloud Computing

Protecting Data on Mobile Cloud Computing

The Mobile Cloud Computing is hybrid technology in the sense of wireless communication between mobile device and cloud data storage system through cellular technology. Using Mobile Cloud Computing (MCC) all the processing and storage are happen over cloud computing area instead of mobile device due to its limitation in storage and processing power and information are stored in multiple location so that MCC is a reliable system and on-demand we can get access to any information irrespective of location and hardware configuration of user mobile electronic devices and hence sharing of information between two or more entities via wireless communication face more security challenges like phishing attacks, man-in-middle attack, denial-of-service (DoS) etc. The objective of this thesis paper is to propose a new theory of encrypting the information as well as authentication of the mobile user.

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Achieving Mobile Cloud Computing through Heterogeneous Wireless Networks

Achieving Mobile Cloud Computing through Heterogeneous Wireless Networks

A Mobile Cloud Computing environment with remote computing and vertical handover capabilities will be considered. A fuzzy logic model will be suggested for both the offloading and handover functions using energy, delay and com- putation complexity as criteria. Based on the application requirements, some rules will be proposed and evaluated when deciding on the offloading then the selection of the network that keeps the traffic carried to the cloud at an ac- ceptable level. All this ought to be achieved in real time while the application is still running. The proposed engine will be implemented and run on an An- droid mobile device connected to Google’s App Engine servers. Results will be presented and analyzed, and conclusions will be provided.

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Research on Mobile Cloud Computing: Review, Application and Orientations

Research on Mobile Cloud Computing: Review, Application and Orientations

1.2 Cloud Computing- Cloud computing has been designed for enterprises. The public cloud computing infrastructure that exists today may not be the perfect architecture to support mobile computing. Amazon is the biggest cloud in the cloud computing. Amazon has released its new "cloud-accelerated" Web browser Silk. Silk a "split browser" whose software resides both on Kindle Fire and EC2.In the era of PC, many users found that the PCs they bought 2 years ago cannot keep pace with the development of software nowadays; they need a higher speed CPU, a larger capacity hard disk, and a higher performance Operation System (OS). That is the magic of ‟Moores Law‟ which urges user upgrading their PCs constantly, but never ever overtaken the development of techniques. Thus, a term called ‟Cloud Computing‟ burst upon our lives. Cloud computing has become a well-known expression since 2007. The cloud computing system is the development of parallel processing, distributed and grid computing on the Internet, which provides various QoS guaranteed services such as hardware, infrastructure, platform, software and storage to different Internet applications and users.

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Online Full Text

Online Full Text

D. Mobile Cloud Computing Latest Trends/Technology Cloudlet-based mobile cloud computing system is aimed at minimizing the control ingestion and the delays of multimedia applications network when mobile cloud computing is used [19]. Fog Computing, is a virtualized platform which makes provision for computation, storage, and networking services between end devices and traditional cloud computing data centers positioned at the edge of the network, providing location awareness, and little latency in applications requirements [20]. Cloudlet is a cloud computing paradigm that depends on large capacity servers and emphases more on providing services to delay-sensitive, bandwidth restricted applications within locality [21]. MobiCloud is a proposed architecture that provides security seclusions to protect mobile users’ information; it monitors the status for evaluating risk, detection intrusion and responding to intrusions [24]. From [29], mobile cloud computing and big data big data are emerging technologies

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Security for Mobile Application and Its Data Outsourcing in the Cloud Infrastructure

Security for Mobile Application and Its Data Outsourcing in the Cloud Infrastructure

In this paper, we proposed centralized security system model comprising based mobile application and its data in the server running in the cloud. This proposed new kind of centralized security for the cloud refers to the mobile devices is being included in cloud security ecosystem. The new challenging security threat points out possible attacks on the cloud-computing inevitably poses that must prevent to ensure secure cloud infrastructure. Moreover, a demand long term continuous assurance the end-user concerns of their application logic and data safety exactly where it stored, whether it replicated and had accessed to it only to legitimate users. The topic of this paper is the adaptation of existing solutions. The underlying task techniques-based are existing proposals, but we have adapted here to a mobile-based cloud infrastructure and environment where data processing, storage happen outside the mobile device. Multiple security applications that check mobile device security can run on the mobile cloud. Despite its need for protection, with SLA guaranteeing the cloud data must remain highly accessible, available for resolving some cloud safety, stability, performance issue, and transitive trust between the cloud service provider and third party cloud. Including the security issues concerns on the cloud server, in this paper we proposed fine-grained access control applicable for prospect to protect unauthorized accessing in cloud infrastructure. Moreover, we provide authentication encryption to secure data files sharing against active adversary sharing user’s data file. Other security services including key generation descriptions are provided and discusses in the cloud computing infrastructure system without key-regeneration. While this work did not mention the security issue in mobile environment ecosystem. We assume that the mobile device is well equipped with security extension of the device’s CPU, known as ARM trust zone, providing much broader and more comprehensive security checking for mobile devices. Some mobile development systems have comparable security features built into their operating systems [6]. Currently, researchers’ leverage different structures and techniques in utilizing cloud services/recourses to outsource computation capabilities of mobile devices. The importance of this proposed system is that, the implementation over the lightweight data techniques in mobile cloud computing using encryption methods is to reduce data volume, and I/O tasks. This design and implementation approach may increase a quality of mobile end-user experience. This work contribution is summarizing as follows:

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Implementation Issues and Challenges of Cloud Computing in Mobile Devices

Implementation Issues and Challenges of Cloud Computing in Mobile Devices

Abstract - Mobile is very rapidly increasing and influencing aspect of human life. Mobile computing has becomes one of major buzz words in IT industry in last few years. Mobile Cloud computing has given a way for mobile users to use and leverage services and data on the go anytime and anywhere that is not stored on their mobile devices. Mobile cloud computing can be used to address various issues like storage space. We approach different issues faced in mobile technology and how it can be tackled with cloud computing technology. If Cloud computing is used in mobile environment it can prove very useful to tackle issues that are related to the performance, security, etc of mobile devices. This paper gives you information about mobile cloud computing, its issues and challenges ,implementation, applications, security as well as issues that can be faced while implementing Mobile Cloud Computing and some methods to overcome these issues.

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Customizing Model of Mobile Service Computing on Cloud of Things

Customizing Model of Mobile Service Computing on Cloud of Things

A spectral sparsifier of a graph G is a sparser graph H that approximately preserves the quadratic form of G, i.e. for all vectors x, xTLGx≈xTLHx, where LGand LH denote the respective graph Laplacians. Spectral sparsifiers generalize cut sparsifiers, and have found many applications in designing graph algorithms. In recent years, there has been interest in computing spectral sparsifiers in semi-streaming and dynamic settings. Natural algorithms in these settings often involve repeated sparsification of a graph, and accumulation of errors across these steps. We present a framework for analyzing algorithms that perform repeated sparsifications that only incur error corresponding to a single sparsification step, leading to better results for many resparsification-based algorithms. As an application, we show how to maintain a spectral sparsifier in the semi-streaming setting: We present a simple algorithm that, For a graph G on n vertices and medges, computes a spectral sparsifier of G with O(nlogn) edges in a single pass over G, using only O(nlogn) space, and O(mlog2n) total time. This improves on previous best semi-streaming algorithms for both spectral and cut sparsifiers by a factor of logn in both space and runtime. The algorithm extends to semi-streaming row sampling for general PSD matrices. We also use our framework to combine a spectral sparsification algorithm by Koutis with improved spanner constructions to give a parallel algorithm for constructing O(nlog2nloglogn) sized spectral sparsifiers in O(mlog2nloglogn) time.

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Analysis of 5G Mobile Technologies and DDOS Defense

Analysis of 5G Mobile Technologies and DDOS Defense

In this paper we've planned 5G System architecture that is that the main contribution of the paper. There are many enhancements from 1G, 2G, 3G, and 4G to 5G within the world of telecommunications. Photonics is that the basic technology for several of the photonic parts and modules mentioned during this paper: integrated transceivers, photonic switches for transport and for data centers. NOMA in this article the superior spectral potency of noma is very promising for 5G radio access. The application of noma is additionally penetrable into different communication systems, as well as mmWave and visual light-weight systems. The potential of noma isn't restricted to only SISO systems; its capability will be additional increased by applying noma in MIMO systems. 5G can use mobile clouds, SDN and NFV to fulfill the challenges of huge property, flexibility, and costs. With all the benefits, these technologies even have inherent security challenges. Therefore, during this paper we've got highlighted the most security challenges which will become additional threatening in 5G, unless properly addressed. We've got additionally given the security mechanisms and solutions for those challenges

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Literature review of authentication layer 
		for public cloud computing: A meta analysis

Literature review of authentication layer for public cloud computing: A meta analysis

receiving mobile device authentication request message. Firstly, the cloud server checks ♯CF, to find user ID and hashed password. Then, it generates Tk to decrypt the received message from the mobile device. After decrypting the message, the cloud server obtains MD, and compares both message digests to check user authenticity. The authenticity of the mobile device is verified only if MD and MDn messages is match. Once the mobile user is authenticated to the cloud server, the procedure of cloud server authentication will be initiated. The cloud server sends its digital signature that is encrypted by its private key, Pkpriv_cloud, to the mobile device. The mobile device decrypts the cloud server message to check the authenticity of the cloud server. If the MD matches with mobile device MD, then the cloud server is authenticated. In MDA method, a secure authentication scheme based on message digest is proposed. Furthermore, most of security and privacy criteria that must be achieved to propose a suitable authentication algorithm are applied. One of the important security criteria is mutual authentication that is achieved in this method by authenticating both mobile device and the cloud server together. Furthermore, user privacy is preserved by hashing user ID and Password. Nevertheless, the security and privacy of this method are protected compared to other methods, but the procedure of this authentication scheme is somehow complicated. Additionally, it is recommended to transfer some processing steps that are processed in the mobile device, to the cloud server to improve the performance of the scheme, however, doing such kind of improvement will be more complicated.

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Analysis of 5G Mobile Technologies and DDOS Defense

Analysis of 5G Mobile Technologies and DDOS Defense

Cloud computing systems comprise various resources which are shared among users, it's possible that a user unfold malicious traffic to destroy the performance of the full system consume additional resources or stealthily access resource of different users. Similarly, in multi-tenant cloud networks wherever tenants run their own control logic, interactions will cause conflicts in network configurations. Mobile Cloud Computing (MCC) migrates the ideas of cloud computing into the 5G eco- systems. This creates variety of security vulnerabilities that largely arise with the field and infrastructural modifications in 5G. Now we Divided the MCC threats in targeted cloud segments into front-end, back-end and network based mobile security threats. The front-end of

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Online Full Text

Online Full Text

Virtualization constitutes a unique aspect of cloud management and optimization. An emerging interesting field of study, virtualisation-as-a-Service was highlighted in [33]. It was concluded by defining virtualization as the activity of substituting a physical resource with virtual (logical) resources, thereby reducing the amount of space required to store the resources. [34] mentioned that virtualization provides the platform and possibility for shareable and available-on-demand infrastructure. [28] opined that virtualisation enables the abstraction of computer resources thus enabling a single physical machine serve as multiple virtual machines. [30] contributed by stating that the current available virtualization technology and methodology offers the possibility to perform live migration i.e. migrating one virtual machine from one host to another without hampering its functions. Despite these contributions, only 25% of the core papers examined discussed the issue of cloud virtualization.

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Big data vs mobile and cloud computing

Big data vs mobile and cloud computing

) with mobile application grab the his world and then a rocket change was waiting though CCTV application was not applied by apple but it was a presence of IP (internet protocol) and Camera (VGA), radio and WI-FI, later by the bless of open source software a huge revolution been happen by Samsung and the First Android application published and still constantly updating this software its says every single minute upgrading . Then later cloud computing published with the idea of free That means the centric view of technology where application should be available for purchasing; rentals even development wherever and whenever company or user wants. It is an approach of make money with consumes difficult technology but easiest rather than other you go model. Technology will get a comprehensive virtual model from infrastructure through application delivery by Cloud Computing. According to Introduction to ‘Cloud Computing DSP’ – IP by “Yossi Cohan” there should be 7 points with 5 key cloud

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