Abstract : Phoenix, an implementation of MapReduce for shared-memory systems that includes a programming API and an efficient runtime system. The Phoenix runtime automatically manages thread creation, dynamic task scheduling, data partitioning, and fault tolerance across processor nodes. We study Phoenix with multi-core and symmetric multiprocessor systems and evaluate its …
The highlight of this system is a clear separation of the cube computation engine and the query serving engine of this OLAP …
Abstract : We have developed Ceph, a distributed file system that provides excellent performance, reliability, and scalability. Ceph maximizes the separation between …
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. …
This work presents a new, highly scalable, and efficient TSSL architecture called the General Tablet Server Storage Layer or GTSSL. Specific contributions …
There have been several attempts in the recent past at extending Hadoop to support efficient iterative data processing on clusters. To facilitate …
Abstract – Raft is a consensus algorithm for managing a replicated log. It produces a result equivalent to Paxos, and it is …
To decide on a mechanism for storing a large number of files and querying them based on metadata we have two options …
HAcid is a client library that applications can use for operating multi-row transactions in HBase. Seems to be motivated by Google’s Percolator. …
Spanner is Google’s scalable, multi-version, globallydistributed, and synchronously-replicated database. It is the first system to distribute data at global scale and support …