Abstract
Peer-to-peer (P2P) networks have been under investigation for several years now, with many novel mechanisms proposed as is shown by available articles. Much of the research focused on showing how the proposed mechanism improves system performance. In addition, several applications were proposed to harness the benefits of the P2P networks. Of these applications, online social networks (OSNs) raised much interest particularly because of the scalability and privacy concerns with centralized OSNs, hence several proposals are in existence. However, accompanying studies on the overall performance of the P2P network under the weight of the OSN applications outside simulations are very few, if any. In this paper, the aim is to undertake a systematic evaluation of the performance of a P2P framework for online social networks called LibreSocial. Benchmark tests are designed, taking into account the random behavior of users, effects of churn on system stability and effect of replication factor. We manage to run benchmark tests for up to 2000 nodes and show the performance against costs of the system in general. From the results it is evident that LibreSocial’s performance is capable of meeting the needs of users.
Highlights
Social networking has experienced tremendous growth since the turn of the 21st century, a fact demonstrated by number of online social networks (OSNs) available, with studies showing a general overlap between the online and offline networks of many of these users [1]
As opposed to many other system tests carried out in the form of simulation tests, in this evaluation of LibreSocial, a P2P framework for OSNs, we endeavored to perform benchmarking for large networks of the actual application, reaching up to 2000 active network nodes
We demonstrate clearly that the plugins constituting the OSN application integrate well with framework layer which provides the required P2P elements for the plugins
Summary
Social networking has experienced tremendous growth since the turn of the 21st century, a fact demonstrated by number of online social networks (OSNs) available, with studies showing a general overlap between the online and offline networks of many of these users [1]. The technical concerns arose due to a high dependence on centralization in administering the OSNs, and with a rapidly growing user base, various scalability performance issues and increasing cost of management and maintenance of the overall system infrastructure have emerged. As it currently stands, the OSN providers have succeeded in developing mitigating solutions for the scalability concerns, such as using distributed data management solutions such as Cassandra [3] and Haystack [4] in Facebook or using cloud services such as Amazon’s AWS storage services Even though most of the OSNs include privacy settings to give users some control over how much information they reveal about themselves, in many cases more is revealed when aggressively using these privacy settings than when having fewer setting [11]
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