A survey of role mining

B Mitra, S Sural, J Vaidya, V Atluri - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
Role-Based Access Control (RBAC) is the most widely used model for advanced access
control deployed in diverse enterprises of all sizes. RBAC critically depends on defining …

Big data analytics for genomic medicine

KY He, D Ge, MM He - International journal of molecular sciences, 2017 - mdpi.com
Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic
decision-making by utilizing patients' genomic information. Big Data analytics uncovers …

Serverless computing: Design, implementation, and performance

G McGrath, PR Brenner - 2017 IEEE 37th International …, 2017 - ieeexplore.ieee.org
We present the design of a novel performance-oriented serverless computing platform
implemented in. NET, deployed in Microsoft Azure, and utilizing Windows containers as …

Live video analytics at scale with approximation and {Delay-Tolerance}

H Zhang, G Ananthanarayanan, P Bodik… - … USENIX Symposium on …, 2017 - usenix.org
Video cameras are pervasively deployed for security and smart city scenarios, with millions
of them in large cities worldwide. Achieving the potential of these cameras requires …

Jupiter rising: A decade of clos topologies and centralized control in google's datacenter network

A Singh, J Ong, A Agarwal, G Anderson… - ACM SIGCOMM …, 2015 - dl.acm.org
We present our approach for overcoming the cost, operational complexity, and limited scale
endemic to datacenter networks a decade ago. Three themes unify the five generations of …

RDMA over commodity ethernet at scale

C Guo, H Wu, Z Deng, G Soni, J Ye, J Padhye… - Proceedings of the …, 2016 - dl.acm.org
Over the past one and half years, we have been using RDMA over commodity Ethernet
(RoCEv2) to support some of Microsoft's highly-reliable, latency-sensitive services. This …

Trends in big data analytics

K Kambatla, G Kollias, V Kumar, A Grama - Journal of parallel and …, 2014 - Elsevier
One of the major applications of future generation parallel and distributed systems is in big-
data analytics. Data repositories for such applications currently exceed exabytes and are …

Big Data computing and clouds: Trends and future directions

MD Assunção, RN Calheiros, S Bianchi… - Journal of parallel and …, 2015 - Elsevier
This paper discusses approaches and environments for carrying out analytics on Clouds for
Big Data applications. It revolves around four important areas of analytics and Big Data …

Naiad: a timely dataflow system

DG Murray, F McSherry, R Isaacs, M Isard… - Proceedings of the …, 2013 - dl.acm.org
Naiad is a distributed system for executing data parallel, cyclic dataflow programs. It offers
the high throughput of batch processors, the low latency of stream processors, and the ability …

BEAT: Asynchronous BFT made practical

S Duan, MK Reiter, H Zhang - Proceedings of the 2018 ACM SIGSAC …, 2018 - dl.acm.org
We present BEAT, a set of practical Byzantine fault-tolerant (BFT) protocols for completely
asynchronous environments. BEAT is flexible, versatile, and extensible, consisting of five …