Software-Defined Storage

by: Yih-Farn Robin Chen,

Cloud storage for both consumers and enterprises is growing at a phenomenal rate, fueled by the growth in Big Data, Mobile, and Social Networks. It is becoming a major cost component in the cloud infrastructure and any Web-scale cloud services today. While raw storage is cheap, the performance and data durability requirements of cloud storage frequently dictate sophisticated, multi-tier, geo-distributed and managed storage solutions.

Traditional storage systems use dedicated storage hardware and networking to guarantee that the storage QoS requirements such as throughput, latency, IOPS, and reliability are preserved.  Unfortunately, these dedicated resources are frequently underutilized.   Cloud computing promises efficient resource utilization by allowing multiple tenants to share the underlying networking, computing, and storage infrastructure, but it is difficult to provide end-to-end storage QoS guarantees to individual tenants due to the noisy neighbor problem. Read more

AT&T Research Named
IEEE Fellow


Behzad Shahraray from AT&T Labs – Research was elevated to IEEE Fellow for leadership in content-based processing and retrieval of multimedia information.

AT&T Releasing Its Network Playbook into Open Source


AT&T aims to build global community to rapidly accelerate network and cloud innovation. Making our current Enhanced Control, Orchestration, Management and Policy (ECOMP) platform available in open source will enable global service providers and cloud developers to meet non-stop network demands as data-hungry technologies take off.

We Are Hiring


AT&T is on a transformative journey towards creating next generation networks, which opens up exciting opportunities for research in how networks and services of tomorrow should be designed, operated, and managed at planetary scale.

AT&T Labs Research is looking for passionate and talented researchers in the areas of: Big Data for Network and Virtualized Services, Cloud Technologies, Networking and Service Quality Management, Optimization for Networks, and Intelligent Services.