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Evidenced by the success of Facebook, Twitter, and LinkedIn, online
social networks (OSNs) have become ubiquitous, offering novel ways
for people to access information and communicate with each other.
As the increasing popularity of social networking is undeniable,
scalability is an important issue for any OSN that wants to serve a
large number of users. Storing user data for the entire network on
a single server can quickly lead to a bottleneck, and,
consequently, more servers are needed to expand storage capacity
and lower data request traffic per server. Adding more servers is
just one step to address scalability. The next step is to determine
how best to store the data across multiple servers. This problem
has been widely-studied in the literature of distributed and
database systems. OSNs, however, represent a different class of
data systems. When a user spends time on a social network, the data
mostly requested is her own and that of her friends; e.g., in
Facebook or Twitter, these data are the status updates posted by
herself as well as that posted by the friends. This so-called
social locality should be taken into account when determining the
server locations to store these data, so that when a user issues a
read request, all its relevant data can be returned quickly and
efficiently. Social locality is not a design factor in traditional
storage systems where data requests are always processed
independently. Even for today's OSNs, social locality is not yet
considered in their data partition schemes. These schemes rely on
distributed hash tables (DHT), using consistent hashing to assign
the users' data to the servers. The random nature of DHT leads to
weak social locality which has been shown to result in poor
performance under heavy request loads. Data Storage for Social
Networks: A Socially Aware Approach is aimed at reviewing the
current literature of data storage for online social networks and
discussing new methods that take into account social awareness in
designing efficient data storage.
This handbook aims to serve as a one-stop, reliable source of
reference, with curations of survey and expository contributions on
the state-of-the-art in Blockchain technology. It covers a
comprehensive range of topics, providing the technical and
non-technical reader with fundamentals, applications, and deep
details on a variety of topics. The readership is expected to span
broadly from technologically-minded business professionals and
entrepreneurs, to students, instructors, novices and seasoned
researchers, in computer science, engineering, software
engineering, finance, and data science. Though Blockchain
technology is relatively young, its evolution as a field and a
practice is booming in growth and its importance to society had
never been more important than it is today. Blockchain solutions
enable a decentralization of a digital society where people can
contribute, collaborate, and transact without having to
second-guess the trust and transparency factors with many
geographical, financial, and political barriers removed. It is the
distributed ledger technology behind the success of Bitcoin,
Ethereum, and many emerging applications. The resource is divided
into 5 parts. Part 1 (Foundation) walks the reader through a
comprehensive set of essential concepts, protocols, and algorithms
that lay the foundation for Blockchain. Part 2 (Scalability)
focuses on the most pressing challenges of today's blockchain
networks in how to keep pace with real-world expectations. Part 3
(Trust and Security) provides detailed coverage on the issues of
trust, reputation, and security in Blockchain. Part 4
(Decentralized Finance) is devoted to a high-impact application of
Blockchain to finance, the sector that has most benefitted from
this technology. Part 5 (Application and Policy) includes several
cases where Blockchain applies to the real world.
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Paperback
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R398
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Discovery Miles 3 300
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