Rutgers Systems Research Lab

At Rutgers Systems Research Lab (RSRL), our goal is to build scalable, efficient, secure systems for handling storage and memory heterogeneity. Given the multi-faceted dierences among these technologies, a critical step toward maximizing their impact is to shield applications and upper-level software stacks from the consequent complexity. We work on Operating Systems (OS) for large-scale datacenter and mobile systems. and their implications on Computer Architecture, Distributed Systems, and High-performance Computing systems.

Research Projects

Storage Offloading and Scalability - We are exploring how to provide direct access to storage access without compromising performance, crash-consistency, integrity, and security of the data. [Related Paper]
Memory Heterogeneity - Compute heterogeneity (CPU, GPU, TPU, FPGA) as well as memory heterogeneity (DRAM, NVM, Stacked 3D Memory) is increasing to support Machine Learning and other data-intensive applications. We are exploring how to design and build OS for modern heterogeneous systems. [Related Paper]
Theorectical Innovations for Architecture Redesgin We are exploring how to rethink OS and runtimes to adapt to modern theoretical innovations, which includes data structures.
Distributed Datacenter Heterogeneity - We are exploring the impact of resource heterogeneity for large scale distributed systems.

Team

Yujie Ren - PhD Student, Projects: File System Scalability, Virtual Memory
David Domingo - PhD Student (Pre-Quals) - File System Correctness
Shaleen Garg (with Manish Parashar) - PhD Student (Pre-Quals) - HPC Systems
Sudarsun Kannan - Faculty

Alumini

Avin Abraham - Undergraduate - Memory Heterogeneity
Jae Woo Joo - MS (Now at Amazon)
Kyle Straton - Undergraduate

Recent Publications

Accelerating Filesystem Checking and Repair with pFSCK
David Domingo, Kyle Stratton, Sudarsun Kannan
Linux Storage and Filesystems Conference (Vault '20) (To appear)

Vacuum: A Flash-Optimized Search Engine
Jun He, Kan Wu, Sudarsun Kannan, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
FAST 2020 (To appear) [PAPER]

Durable Transactional Memory Can Scale with TimeStone
R.Madhava Krishnan, Jaeho Kim, Ajit Mathew, Anthony Demeri, Xinwei Fu, Changwoo Min, Sudarsun Kannan
ASPLOS 2020 (To appear) [PAPER]

Can We Containerize Internet Measurements?
Christopher Misa, Sudarsun Kannan, Ramakrishnan Durairajan
Applied Networking Research Workshop (ANRW'19)

File Systems as Processes.
Jing Liu, Andrea Arpaci-Dusseau, Remzi Arpaci-Dusseau, Sudarsun Kannan
HotStorage 2019

HeteroOS: OS Design for Heterogeneous Memory Management in Datacenters.
Sudarsun Kannan, Ada Gavrilovska, Vishal Gupta, Karsten Schwan
ACM SIGOPS Operating Systems Review - Special Topics, 2019 [PAPER]

Redesigning LSMs for Nonvolatile Memory with NoveLSM.
Sudarsun Kannan, Nitish Bhat, Ada Gavrilovska, Andrea Arpaci-Dusseau, Remzi Arpaci-Dusseau
USENIX ATC 2018

Research Support

NSFLogo