From the reviews: "This short and concisely presented survey concludes with a discussion of two socially aware systems: S-PUT, for data partitioning, and S-CLONE, for data replication. The latter part of the book discusses these systems in detail, including system design, algorithms (with equations), and analysis results. ... I recommend it as an enjoyable read for anyone who is interested in database design, especially in the context of social media applications. Computer science students especially should look at it." (Alyx Macfadyen, ACM Computing Reviews, December, 2012) "The objective of this book is to present a new approach to social data storage which optimizes the distribution and replication of data. ... The book is clearly written and structured, also the illustrations help readers to understand the presented concepts. The book is aimed at graduate and PhD students, software engineers and researchers interested in designing and implementing efficient distributed storage systems." (Mihai Gabroveanu, Zentralblatt MATH, Vol. 1257, 2013)

• 1. Introduction (Amazon’s Dynamo, Google’s BigTable, Apache Cassandra).-2. Social Locality in Data Storage (Perfect vs. Imperfect Social Locality, Assumptions and Notations, Optimization Objectives, Multi-Objective Optimization).- 3. S-PUT (Approach, Algorithm, Numerical Results, Notes).- 4. S-CLONE (Approach, Algorithm, Numerical Results, Notes)- 5. Epilogue. –References.

From the reviews: "This short and concisely presented survey concludes with a discussion of two socially aware systems: S-PUT, for data partitioning, and S-CLONE, for data replication. The latter part of the book discusses these systems in detail, including system design, algorithms (with equations), and analysis results. ... I recommend it as an enjoyable read for anyone who is interested in database design, especially in the context of social media applications. Computer science students especially should look at it." (Alyx Macfadyen, ACM Computing Reviews, December, 2012) "The objective of this book is to present a new approach to social data storage which optimizes the distribution and replication of data. ... The book is clearly written and structured, also the illustrations help readers to understand the presented concepts. The book is aimed at graduate and PhD students, software engineers and researchers interested in designing and implementing efficient distributed storage systems." (Mihai Gabroveanu, Zentralblatt MATH, Vol. 1257, 2013)

• 1. Introduction (Amazon’s Dynamo, Google’s BigTable, Apache Cassandra).-2. Social Locality in Data Storage (Perfect vs. Imperfect Social Locality, Assumptions and Notations, Optimization Objectives, Multi-Objective Optimization).- 3. S-PUT (Approach, Algorithm, Numerical Results, Notes).- 4. S-CLONE (Approach, Algorithm, Numerical Results, Notes)- 5. Epilogue. –References.

From the reviews: "This short and concisely presented survey concludes with a discussion of two socially aware systems: S-PUT, for data partitioning, and S-CLONE, for data replication. The latter part of the book discusses these systems in detail, including system design, algorithms (with equations), and analysis results. ... I recommend it as an enjoyable read for anyone who is interested in database design, especially in the context of social media applications. Computer science students especially should look at it." (Alyx Macfadyen, ACM Computing Reviews, December, 2012) "The objective of this book is to present a new approach to social data storage which optimizes the distribution and replication of data. ... The book is clearly written and structured, also the illustrations help readers to understand the presented concepts. The book is aimed at graduate and PhD students, software engineers and researchers interested in designing and implementing efficient distributed storage systems." (Mihai Gabroveanu, Zentralblatt MATH, Vol. 1257, 2013)

• 1. Introduction (Amazon’s Dynamo, Google’s BigTable, Apache Cassandra).-2. Social Locality in Data Storage (Perfect vs. Imperfect Social Locality, Assumptions and Notations, Optimization Objectives, Multi-Objective Optimization).- 3. S-PUT (Approach, Algorithm, Numerical Results, Notes).- 4. S-CLONE (Approach, Algorithm, Numerical Results, Notes)- 5. Epilogue. –References.