Moving from Mobile Databases to Mobile Cloud Data Services

2015 ◽  
Author(s):  
Shuyu Li ◽  
Jerry Gao
Keyword(s):  
Mobile Cloud ◽  
Mobile Databases ◽  
Cloud Data ◽  
Data Services

Toward Complex Search for Encrypted Mobile Cloud Data via Index Blind Storage

Smart Data ◽  
2019 ◽  
pp. 41-62
Author(s):  
Yupeng Hu ◽  
Linjun Wu ◽  
Wenjia Li ◽  
Keqin Li ◽  
Yonghe Liu ◽  
...  
Keyword(s):  
Mobile Cloud ◽  
Cloud Data

scholarly journals Client Aware Scalable Cloudlet to Augment Edge Computing with Mobile Cloud Migration Service

2020 ◽  
Vol 14 (12) ◽  
pp. 165
Author(s):  
Uma Nandhini D ◽  
Udhayakumar S ◽  
Latha Tamilselvan ◽  
Silviya Nancy J
Keyword(s):  
Wireless Lan ◽  
High Speed ◽  
Virtual Machines ◽  
Linear Regression Analysis ◽  
Mobile Cloud ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Battery Lifetime ◽  
Network Bandwidth ◽  
Load Conditions

<p class="0abstract">Computing with mobile is still in its infancy due to its limitations of computational power, battery lifetime and storage capacity. These limitations hinder the growth of mobile computing, which in-turn affects the growth of computationally intensive applications developed for the mobile devices. So in-order to help execute complex applications within the mobile device, mobile cloud computing (MCC) emerged as a feasible solution. The job of offloading the task to the cloud data center for storage and execution from the mobile seems to gain popularity, however, issues related to network bandwidth, loss of mobile data connectivity, and connection setup does not augment well to extend the benefits offered by MCC. Cloudlet servers filled this gab by assisting the mobile cloud environment as an edge device, offering compute power to the connected devices with high speed wireless LAN connectivity. Implementation constraints of cloudlet faces severe challenges in-terms of its storage, network sharing, and VM provisioning. Moreover, the number of connected devices of the cloudlet and its load conditions vary drastically leading to unexpected bottleneck, in which case the availability to server becomes an issue. Therefore, a scalable cloudlet, Client Aware Scalable Cloudlet (CASC) is proposed with linear regression analysis, predicting the knowledge of expected load conditions for provisioning new virtual machines and to perform resource migration.</p>

scholarly journals Protecting Data on Mobile Cloud Computing

2019 ◽  
Vol 8 (11) ◽  
pp. 3453-3459
Keyword(s):  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Devices ◽  
Data Center ◽  
Mobile Cloud Computing ◽  
Third Party ◽  
Battery Life ◽  
Mobile Cloud ◽  
Cloud Data Center ◽  
Cloud Data

Mobile Cloud Computing is a combination of general Cloud Computing and Mobile Computing in which we have to access resources from the remote cloud data center with the help of mobile electronics and peripherals like mobile smartphones, laptops, gadgets, etc. via Cellular Technology or Wireless Communication. Mobile devices have lots of resource constraints like storage capacity, processing speed, and battery life. Hence through simple mobile computing software and programming, we cannot manipulate on mobile devices of cloud data center information. Because of such kinds of difficulty, we have to process information or data through external mobile devices. Accessing and processing of data with the help of Trusted Third Party Agency (TPA) outside the cloud data center and mobile devices have lots of security challenges. To make cloud data secure over outside resources, lots of terminologies and theory are put forward by various researchers. In this paper, we will analyze their theory and its limitations and offer our security algorithm proposal. In this thesis article, we analyze the security framework for storing data on Cloud Server by Mobile and limitation of this process. Also, we review the theory of how data can be secure our data on cloud administrators

scholarly journals Biometric Identification and Authentication Providence using Fingerprint for Cloud Data Access

2017 ◽  
Vol 7 (1) ◽  
pp. 408 ◽  
Author(s):  
A. Amali Mary Bastina ◽  
N. Rama
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Data Access ◽  
Mobile Cloud ◽  
Biometric Authentication ◽  
Security Issue ◽  
Cloud Data ◽  
Authorized User ◽  
Desk Computer ◽  
Secret Code

<div><p>The raise in the recent security incidents of cloud computing and its challenges is to secure the data. To solve this problem, the integration of mobile with cloud computing, Mobile biometric authentication in cloud computing is presented in this paper. To enhance the security, the biometric authentication is being used, since the Mobile cloud computing is popular among the mobile user. This paper examines how the mobile cloud computing (MCC) is used in security issue with finger biometric authentication model. Through this fingerprint biometric, the secret code is generated by entropy value. This enables the person to request for accessing the data in the desk computer. When the person requests the access to the authorized user through Bluetooth in mobile, the Authorized user sends the permit access through fingerprint secret code. Finally this fingerprint is verified with the database in the Desk computer. If it is matched, then the computer can be accessed by the requested person.</p></div>

Study of Dynamic Multikeyword Text Search Techniques over Encrypted Data in Cloud

2017 ◽  
Vol 7 (8) ◽  
pp. 326
Author(s):  
Ankita Puri ◽  
Naveen Kumari
Keyword(s):  
Data Retrieval ◽  
Modern Technology ◽  
Inner Product ◽  
Data Outsourcing ◽  
Keyword Query ◽  
Cloud Data ◽  
Data Services ◽  
Cloud Server ◽  
Efficient Data ◽  
Ranked Search

Day by Day ,with the advancement of modern technology over cloud computing motivating the data owners to outsource their data to the cloud server like Amazon, Microsoft, Azure etc .With the help of data outsourcing ,the organization can provide reliable data services to their user without any management of the overhead concern. Suppose, a large number of users that are on cloud and large number of documents on cloud, Its important for the service provider to allow multi-keyword query and provided the result that meet efficient data retrieval needs. In this paper, for the first time, we define and solve the challenging problem of privacy preserving multi-keyword ranked search over encrypted cloud data (MRSE), and establish a set of strict privacy requirements for such a secure cloud data utilization system to become a reality. Among various multi-keyword semantics, we choose the efficient principle of “coordinate matching”, i.e., as many matches as possible, to capture the similarity between search query and data documents, and further use “inner product similarity” to quantitatively formalize such principle for similarity measurement.

Cloud Data Services: Workloads, Architectures and Multi-Tenancy

2021 ◽  
Author(s):  
Vivek Narasayya ◽  
Surajit Chaudhuri
Keyword(s):  
Cloud Data ◽  
Data Services
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