Load-balanced migration of social media to content clouds

Abstract

Social networked applications have been more and more popular, and have brought great challenges to the network engineering, particularly the huge demands of bandwidth and storage for social media. The recently emerged content clouds shed light on this dilemma. Towards the migration to clouds, partitioning the social contents has drawn significant interests from the literature. Yet the existing works focus on preserving the social relationship only, while an important factor, user access pattern, is largely overlooked.In this paper, by examining a large collection of YouTube video data, we first demonstrate that partitioning the network entirely based on social relationship would lead to unbalanced partitions in terms of access. We further analyze the role of social relationship in the social media applications, and conclude that user access pattern should be taken into account and social relationship should be dynamically preserved. We formulate the problem as a constrained kmedoids clustering problem, and propose a novel Weighted Partitioning Around Medoids (wPAM) solution. We present a dissimilarity/similarity metric to facilitate the preservation of the social relationship. We compare our solution with other state-of-the-art algorithms, and the preliminary results show that it significantly decreases the access deviation in each cloud server, and flexibly preserves the social relationship.

Moving Big Data to The Cloud: An Online Cost-Minimizing Approach

“…Hajjat et al [13] develop an optimization model for migrating enterprise IT applications onto a hybrid cloud. Cheng et al [14] and Wu et al [15] advocate deploying social media applications into clouds, for leveraging the rich resources and pay-as-you-go pricing. These projects focus on workflow migration and application performance optimization, by carefully deciding the modules to be moved to the cloud and the data caching/replication strategies in the cloud.…”

Dominating Set Based Content Cloud Architecture for Video Distribution Services

“…A video Service Provider (VSP) needs to minimize the operational cost induced by the rentals of cloud resources without sacrificing user experience in all regions [19]. Optimal deployment problem of cloud assisted video distribution service is handled by Nash bargaining Solutions.…”

Scaling social media applications into geo-distributed clouds

“…Wu et al [8] and Li et al [9] discuss migration of VoD services onto a cloud platform, by exploring demands and user patterns in a conventional VoD application. Pujol et al [10] and Xu et al [11] investigate migration of social network applications, focusing on user profile replication on cloud servers according to their social connections. Different from all these work, our study is the first to explore dynamic migration of the novel social media applications, and to use social influence among users for viewing demand prediction; and we target at a solution with over-time optimality guarantee.…”