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Online services such as Facebook or Twitter have public APIs to enable an easy integration of these services with third party applications. However, the developers who design these applications have no information about the consistency provided by these services, which exacerbates the complexity of reasoning about the semantics of the applications they are developing. In this paper, we show that is...
Social network users are connected based on shared interests, ideas, association with different groups, etc. Common social networks such as Facebook and Twitter have hundreds of millions or even billions of users scattered all around the world sharing interconnected data. Users demand low latency access to not only their own data but also their friends' data. However, social network service providers...
We present the design, implementation and information flow verification of CoSMeDis, a distributed social media platform. The system consists of an arbitrary number of communicating nodes, deployable at different locations over the Internet. Its registered users can post content and establish intra-node and inter-node friendships, used to regulate access control over the posts. The system's kernel...
A linear block code with dimension k and length n is called a locally repairable code (LRC) with locality r if it can retrieve any coded symbol by at most r other coded symbols. LRCs have been recently proposed and used in practice in distributed storage systems such as Windows Azure Storage and Facebook HDFS-RAID. Theoretical bounds on the maximum locality of LRCs have been established, and optimal...
High volumes of a wide variety of valuable data can be easily collected and generated from a broad range of data sources of different veracities at a high velocity. In the current era of big data, many traditional data management and analytic approaches may not be suitable for handling the big data due to their well-known 5V's characteristics. Over the past few years, several systems and applications...
In recent years, erasure codes have become the defacto standard for data protection of large scale distributed cloudstorage systems at the cost of an affordable storage overhead. While traditional erasure coding schemes, such as Reed-Solomoncodes, suffer from high reconstruction cost and I/Os. The recentpast has seen a plethora of efforts to optimize the tradeoffbetween the reconstruction cost, I/Os...
Sharing photos through Online Social Networks isan increasingly popular fashion. However, it poses a seriousthreat to end users as private information in the photos maybeinappropriately shared with others without their consent. Thispaper proposes a design and implementation of a system using a dynamic privacy preserving partial image sharing technique (namely PUPPIES), which allows data owners to...
Online social networks make it more convenient for people to find and communicate with other people based on shared interests, ideas, association with different groups, etc. Common social networks such as Facebook and Twitter have hundreds of millions or even billions of users scattered all around the world sharing interconnected data. Users demand low latency access to not only their own data but...
Different types of people react in different ways to the highly accelerated speed of information sharing, based on their personality. Some of them take the option of the new technology with which they can access many people, while others are only using the private messageging systems and try to avoid publicity and the "never forgetting" web. As the technology develops and surrounds us, it...
As the social media upsurge of today continues to mount, opportunities to derive collective intelligence from online social networking (OSN) content sources are inevitably expected to grow. While enterprise organizations and research institutions make a dash for identifying rich insights and opportunities to tap into the millions of conversations and user profile relationships exposed by this new...
Recently, Bag-of-Features Tagging is proven to be an alternative to discover user connections from user shared images in social networks. This approach used unsupervised clustering to classify the user shared images and then correlate similar user, which is computationally intensive for real-world applications. This paper introduces a cloud-assisted framework to improve the efficiency and scalability...
Maintaining security and privacy in the Cloud is a complex task. The task is made even more challenging as the number of vulnerabilities associated with the cloud infrastructure and applications are increasing very rapidly. Understanding the security service level agreements (SSLAs) and privacy policies offered by service and infrastructure providers is critical for consumers to assess the risks of...
Cloud services provide advantages in terms of service scalability and availability of users' data, but increase concerns about the control that a user has over her own data. These concerns include not just issues related to access to the information itself, but issues about the effective deletion of the information by the cloud in compliance with the user's right to deletion. In this on-going work,...
Big data is a hot topic nowadays due to the huge amount of data resulted from various commercial processes and also due to every day data handled by social networks. The MapReduce programming model focuses on processing and generating large data sets. Using the values obtained by computing the Jaccard similarity coefficients for two very large graphs, we have analysed the connections and influences...
Big data processing is one of the hot scientific issues in the current social development. MapReduce is an important foundation for big data processing. In this paper, we propose a semantic++ MapReduce. This study includes four parts. (1) Semantic++ extraction and management for big data. We will do research about the automatically extracting, labeling and management methods for big data's semantic++...
Online social networks (OSNs) with their huge number of active users consume significant amount energy both in the data centers and in the transport network. Existing studies focus mainly on the energy consumption in the data centers and do not take into account the energy consumption during the transport of data between end-users and data centers. To indicate the amount of the neglected energy, this...
End user experiences on mobile devices with their rich sets of sensors are constrained by limited device battery lives and restricted form factors, as well as by the ‘scope’ of the data available locally. The ‘Personal Cloud’ distributed software abstractions address these issues by enhancing the capabilities of a mobile device via seamless use of both nearby and remote cloud resources. In contrast...
Online social media network has become part of human life by transforming the way users create new social relations or relate with family and friends. Online social network (OSN) has drastically increased the rate at which people interact with each other by simplifying the means of communication. However, privacy is raising a serious concern. All user generated data within the OSN system need to be...
The goal of our research is to offer EFL/ESL teachers effective tools which enable them to develop EFL/ESL reading materials cooperatively, using Facebook and Cloud storage network services. These tools are integrated into an MS Word platform: teachers can create reading materials effectively without needing to constantly switch between discrete software packages and MS Word, when developing content...
The present-day high-tech feats in data, mobile, wireless and broadband technologies cannot be overemphasized. Cloud computing technology makes it possible to backup, develop and host application design for the internet where information technology (IT) related facilities are provided “as a service”; allowing clients access technology-enabled services more economically and flexibly on a pay-as-you-use...
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