scholarly journals An Adaptive Data Placement Architecture in Multicloud Environments

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Pengwei Wang ◽  
Caihui Zhao ◽  
Yi Wei ◽  
Dong Wang ◽  
Zhaohui Zhang
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Data Access ◽  
Data Retrieval ◽  
Data Placement ◽  
Data Availability ◽  
Maintenance Cost ◽  
Time Varying ◽  
Access Pattern ◽  
Data Lifetime

Cloud service providers (CSPs) can offer infinite storage space with cheaper maintenance cost compared to the traditional storage mode. Users tend to store their data in geographical and diverse CSPs so as to avoid vendor lock-in. Static data placement has been widely studied in recent works. However, the data access pattern is often time-varying and users may pay more cost if static placement is adopted during the data lifetime. Therefore, it is a pending problem and challenge of how to dynamically store users’ data under time-varying data access pattern. To this end, we propose ADPA, an adaptive data placement architecture that can adjust the data placement scheme based on the time-varying data access pattern and subject for minimizing the total cost and maximizing the data availability. The proposed architecture includes two main components: data retrieval frequency prediction module based on LSTM and data placement optimization module based on Q-learning. The performance of ADPA is evaluated through several experimental scenarios using NASA-HTTP workload and cloud providers information.

scholarly journals Cloud hosting services and resources utilizing efficient proxy server based speculative algorithm

2018 ◽  
Vol 7 (4) ◽  
pp. 2687
Author(s):  
Ravi Mahadevan ◽  
Neelamegam Anbazhagan
Keyword(s):  
Energy Consumption ◽  
Service Providers ◽  
Cloud Service ◽  
Data Access ◽  
Data Consistency ◽  
Current Status ◽  
Maintenance Cost ◽  
Proxy Server ◽  
Service Policies ◽  
Qos Performance

Cloud computing is an envisioned technique for service providing paradigm. Currently, many enterprises and organizations are hosting data into cloud service provider to minimize the maintenance cost, energy consumption and improve the data consistency. However, the several cloud servers facing the various hosting service policies, clients may be confused with which cloud server providers are appropriate for storing data and which hosting methodology is inexpensive. The current status quo is clients frequently put data into the single cloud and simply trust to luck. In the paper, proposes a new data hosting redundancy methodology called as Efficient Proxy Server Based Speculative (EPSBS) algorithm that provides accessibility guarantee, reducing hosting service, energy consumption and enhances Quality of Services (QoS) performance concurrently and it requires integrating two key functions. The first function is choosing numerous appropriate cloud service providers and a suitable EPSBS redundancy methodology to store data with guaranteed accessibility. The second key function is triggering a transmission process to reallocate data along with the deviations of data access prototype of clouds.  Based on Experimental evaluations, proposed methodology reduces 0.11 ET (Execution Time), and 0.02 EC (Energy Consumption) and improves 29% HS (Hosting Service size), 2.8 T (Throughput) compared than existing methodologies.

Improved Proofs Of Retrievability And Replication For Data Availability In Cloud Storage

2020 ◽  
Vol 63 (8) ◽  
pp. 1216-1230 ◽  
Author(s):  
Wei Guo ◽  
Sujuan Qin ◽  
Jun Lu ◽  
Fei Gao ◽  
Zhengping Jin ◽  
...  
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Data Availability ◽  
Forgery Attack ◽  
Common Strategy ◽  
Comparable Performance ◽  
Replication Scheme ◽  
High Level ◽  
Cloud Users ◽  
Proofs Of Retrievability

Abstract For a high level of data availability and reliability, a common strategy for cloud service providers is to rely on replication, i.e. storing several replicas onto different servers. To provide cloud users with a strong guarantee that all replicas required by them are actually stored, many multi-replica integrity auditing schemes were proposed. However, most existing solutions are not resource economical since users need to create and upload replicas of their files by themselves. A multi-replica solution called Mirror is presented to overcome the problems, but we find that it is vulnerable to storage saving attack, by which a dishonest provider can considerably save storage costs compared to the costs of storing all the replicas honestly—while still can pass any challenge successfully. In addition, we also find that Mirror is easily subject to substitution attack and forgery attack, which pose new security risks for cloud users. To address the problems, we propose some simple yet effective countermeasures and an improved proofs of retrievability and replication scheme, which can resist the aforesaid attacks and maintain the advantages of Mirror, such as economical bandwidth and efficient verification. Experimental results show that our scheme exhibits comparable performance with Mirror while achieving high security.

PPHA-Popularity Prediction Based High Data Availability for Multimedia Data Center

2019 ◽  
Vol 11 (1) ◽  
pp. 17-29
Author(s):  
Kuo-Chi Fang ◽  
Husnu S. Narman ◽  
Ibrahim Hussein Mwinyi ◽  
Wook-Sung Yoo
Keyword(s):  
Data Center ◽  
Service Providers ◽  
Data Access ◽  
Current Data ◽  
Multimedia Data ◽  
Data Availability ◽  
Full Data ◽  
Data Center Management ◽  
Popularity Prediction ◽  
Data Objects

Due to the growth of internet-connected devices and extensive data analysis applications in recent years, cloud computing systems are largely utilized. Because of high utilization of cloud storage systems, the demand for data center management has been increased. There are several crucial requirements of data center management, such as increase data availability, enhance durability, and decrease latency. In previous works, a replication technique is mostly used to answer those needs according to consistency requirements. However, most of the works consider full data, popular data, and geo-distance-based replications by considering storage and replication cost. Moreover, the previous data popularity based-techniques rely on the historical and current data access frequencies for replication. In this article, the authors approach this problem from a distinct aspect while developing replication techniques for a multimedia data center management system which can dynamically adapt servers of a data center by considering popularity prediction in each data access location. Therefore, they first label data objects from one to ten to track access frequencies of data objects. Then, they use those data access frequencies from each location to predict the future access frequencies of data objects to determine the replication levels and locations to replicate the data objects, and store the related data objects to close storage servers. To show the efficiency of the proposed methods, the authors conduct an extensive simulation by using real data. The results show that the proposed method has an advantage over the previous works in terms of data availability and increases the data availability up to 50%. The proposed method and related analysis can assist multimedia service providers to enhance their service qualities.

scholarly journals Data Storage, Security And Techniques In Cloud Computing

2020 ◽  
Author(s):  
Dinesh Arpitha R ◽  
Sai Shobha R
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Data Access ◽  
Cloud Services ◽  
Security Risk ◽  
Storage Security ◽  
The Cost ◽  
User Knowledge

Cloud computing is the computing technology which provides resources like software, hardware, services over the internet. Cloud computing provides computation, software, data access, and storage services that do not require end- user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing enables the user and organizations to store their data remotely and enjoy good quality applications on the demand without having any burden associated with local hardware resources and software managements but it possesses a new security risk towards correctness of data stored at cloud. The data storage in the cloud has been a promising issue in these days. This is due to the fact that the users are storing their valuable data and information in the cloud. The users should trust the cloud service providers to provide security for their data. Cloud storage services avoid the cost storage services avoids the cost expensive on software, personnel maintains and provides better performance less storage cost and scalability, cloud services through internet which increase their exposure to storage security vulnerabilities however security is one of the major drawbacks that preventing large organizations to enter into cloud computing environment. This work surveyed on several storage techniques and this advantage and its drawbacks.

scholarly journals AirCache: A Crowd-Based Solution for Geoanchored Floating Data

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Armir Bujari ◽  
Claudio Enrico Palazzi
Keyword(s):  
Simulation Analysis ◽  
Organizational Factors ◽  
Data Access ◽  
Data Availability ◽  
The Internet ◽  
Area Of Interest ◽  
Remote Server ◽  
Data Lifetime ◽  
Person Location ◽  
The Way

The Internet edge has evolved from a simple consumer of information and data to eager producer feeding sensed data at a societal scale. The crowdsensing paradigm is a representative example which has the potential to revolutionize the way we acquire and consume data. Indeed, especially in the era of smartphones, the geographical and temporalscopusof data is often local. For instance, users’ queries are more and more frequently about a nearby object, event, person, location, and so forth. These queries could certainly be processed and answered locally, without the need for contacting a remote server through the Internet. In this scenario, the data is alimented (sensed) by the users and, as a consequence, data lifetime is limited by human organizational factors (e.g., mobility). From this basis, data survivability in the Area of Interest (AoI) is crucial and, if not guaranteed, could undermine system deployment. Addressing this scenario, we discuss and contribute with a novel protocol named AirCache, whose aim is to guarantee data availability in the AoI while at the same time reducing the data access costs at the network edges. We assess our proposal through a simulation analysis showing that our approach effectively fulfills its design objectives.

Migration of Data between Cloud and Non-Cloud Datastores

2012 ◽  
pp. 206-225
Author(s):  
Shreyansh Bhatt ◽  
Sanjay Chaudhary ◽  
Minal Bhise
Keyword(s):  
Relational Databases ◽  
Service Providers ◽  
Cloud Service ◽  
Data Access ◽  
Data Migration ◽  
Cloud Service Providers ◽  
Application Data ◽  
And Migration ◽  
Legacy Applications ◽  
Recent Attention

The on demand services and scalability features of cloud computing have attracted many customers to move their applications into the cloud. Therefore, application, data access, storage, and migration to and from cloud have garnered much recent attention, especially with well-established legacy applications. Cloud service providers are following different standards to host applications and data. In the present chapter, the authors focus on data migration from various datastores to cloud and vice versa. They have discussed various challenges associated with this reciprocal migration and proposed a simple yet powerful model whereby data can be migrated between various datastores, especially cloud datastores. The results show an efficient way to move data from conventional relational databases to Google App Engines and how data residing in the Google App Engines can be stored on relational databases and vice versa. They provide a generalized architecture to store data in any cloud datastore. The authors use RDF/RDFS as an intermediate model in the migration process.

Authentication and Identity Management for Secure Cloud Businesses and Services

2014 ◽  
pp. 180-201 ◽  
Author(s):  
Bing He ◽  
Tuan T. Tran ◽  
Bin Xie
Keyword(s):  
Access Control ◽  
Identity Management ◽  
Service Providers ◽  
Cloud Service ◽  
Data Access ◽  
Fine Grained ◽  
Industry Standards ◽  
Cloud Service Providers ◽  
Potential Benefits ◽  
Identity Management System

Today, cloud-based services and applications are ubiquitous in many systems. The cloud provides undeniable potential benefits to the users by offering lower costs and simpler deployment. The users significantly reduce their system management responsibilities by outsourcing services to the cloud service providers. However, the management shift has posed significant security challenges to the cloud service providers. Security concerns are the main reasons that delay organizations from moving to the cloud. The security and efficiency of user identity management and access control in the cloud needs to be well addressed to realize the power of the cloud. In this chapter, the authors identify the key challenges and provide solutions to the authentication and identity management for secure cloud business and services. The authors first identify and discuss the challenges and requirements of the authentication and identity management system in the cloud. Several prevailing industry standards and protocols for authentication and access control in cloud environments are provided and discussed. The authors then present and discuss the latest advances in authentication and identity management in cloud, especially for mobile cloud computing and identity as a service. They further discuss how proximity-based access control can be applied for an effective and fine-grained data access control in the cloud.

scholarly journals A Privacy-Preserving Attribute-Based Encryption System for Data Sharing in Smart Cities

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xieyang Shen ◽  
Chuanhe Huang ◽  
Danxin Wang ◽  
Jiaoli Shi
Keyword(s):  
Data Sharing ◽  
Service Providers ◽  
Smart Cities ◽  
Information Leakage ◽  
Cloud Service ◽  
Data Access ◽  
Smart Devices ◽  
Fine Grained ◽  
Data Access Control ◽  
High Level

Information leakage and efficiency are the two main concerns of data sharing in cloud-aided IoT. The main problem is that smart devices cannot afford both energy and computation costs and tend to outsource data to a cloud server. Furthermore, most schemes focus on preserving the data stored in the cloud but omitting the access policy is typically stored in unencrypted form. In this paper, we proposed a fine-grained data access control scheme based on CP-ABE to implement access policies with a greater degree of expressiveness as well as hidden policies from curious cloud service providers. Moreover, to mitigate the extra computation cost generated by complex policies, an outsourcing service for decryption can be used by data users. Further experiments and extensive analysis show that we significantly decrease the communication and computation overhead while providing a high-level security scheme compared with the existing schemes.

Authentication and Identity Management for Secure Cloud Businesses and Services

2016 ◽  
pp. 1629-1651
Author(s):  
Bing He ◽  
Tuan T. Tran ◽  
Bin Xie
Keyword(s):  
Access Control ◽  
Identity Management ◽  
Service Providers ◽  
Cloud Service ◽  
Data Access ◽  
Fine Grained ◽  
Industry Standards ◽  
Cloud Service Providers ◽  
Potential Benefits ◽  
Identity Management System

Today, cloud-based services and applications are ubiquitous in many systems. The cloud provides undeniable potential benefits to the users by offering lower costs and simpler deployment. The users significantly reduce their system management responsibilities by outsourcing services to the cloud service providers. However, the management shift has posed significant security challenges to the cloud service providers. Security concerns are the main reasons that delay organizations from moving to the cloud. The security and efficiency of user identity management and access control in the cloud needs to be well addressed to realize the power of the cloud. In this chapter, the authors identify the key challenges and provide solutions to the authentication and identity management for secure cloud business and services. The authors first identify and discuss the challenges and requirements of the authentication and identity management system in the cloud. Several prevailing industry standards and protocols for authentication and access control in cloud environments are provided and discussed. The authors then present and discuss the latest advances in authentication and identity management in cloud, especially for mobile cloud computing and identity as a service. They further discuss how proximity-based access control can be applied for an effective and fine-grained data access control in the cloud.

Sign in / Sign up

Export Citation Format

Share Document