Data Replication

OwnBackup Secures $7.5M Series B Investment to Meet Demand for SaaS Data and Metadata Backup, Recovery and Replication

Grazed from OwnBackup

OwnBackup, a leading Software-as-a-Service (SaaS) application backup and restore vendor, today announced the close of a $7.5 million Series B round led by Insight Venture Partners, a New York-based private equity and venture capital firm and one of the world's largest investors in high-growth software companies. Existing investors Innovation Endeavors, Oryzn Capital and Salesforce Ventures also participated in the round, which constitutes a minority equity stake.  

The round comes on the heels of an explosive year for OwnBackup, with 330% year-over-year revenue growth in 2016. Users of SaaS applications are increasingly turning to OwnBackup for data protection, archiving, compliance and development enablement. These organizations are fueling a burgeoning market for cloud-to-cloud private backup, recovery and replication services. The new capital will fuel the company's continued expansion and speed product innovation, including backup and recovery services for additional SaaS applications and the simplification of test data environments for developers working with SaaS applications.   

Models for Efficient Data Replication in Cloud Computing Datacenters

Grazed from University of Luxembourg.  Author:  Dejene Boru, Dzmitry Kliazovich, Fabrizio Granelli, Pascal Bouvry, Albert Y. Zomaya.

Cloud computing is a computing model where users access ICT services and resources without regard to where the services are hosted. Communication resources often become a bottleneck in service provisioning for many cloud applications. Therefore, data replication which brings data (e.g., databases) closer to data consumers (e.g., cloud applications) is seen as a promising solution.

In this paper we present models for energy consumption and bandwidth demand of database access in cloud computing datacenter. In addition we propose an energy efficient replication strategy based on the proposed models which results in improved Quality of Service (QoS) with reduced communication delays...