60 citations · 102 across the 17 of their papers we have counts for
17 papers
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization
Kailash Gogineni, Yongsheng Mei, Peng Wei +2
Multi-Agent Experience Replay (MER) is a key component of off-policy reinforcement learning~(RL) algorithms. By remembering and reusing experiences from the past, experience replay…
Towards Efficient Multi-Agent Learning Systems
Kailash Gogineni, Peng Wei, Tian Lan +1
Multi-Agent Reinforcement Learning (MARL) is an increasingly important research field that can model and control multiple large-scale autonomous systems. Despite its achievements,…
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
Hanhan Zhou, Tian Lan, Guru Venkataramani +1
One of the biggest challenges in Federated Learning (FL) is that client devices often have drastically different computation and communication resources for local updates. To this…
MPD: Moving Target Defense through Communication Protocol Dialects
Yongsheng Mei, Kailash Gogineni, Tian Lan +1
Communication protocol security is among the most significant challenges of the Internet of Things (IoT) due to the wide variety of hardware and software technologies involved. Mov…
Integrated Reasoning Engine for Pointer-related Code Clone Detection
Hongfa Xue, Yongsheng Mei, Kailash Gogineni +2
Detecting similar code fragments, usually referred to as code clones, is an important task. In particular, code clone detection can have significant uses in the context of vulnerab…
Modeling and Optimization of Latency in Erasure-coded Storage Systems
Vaneet Aggarwal, Tian Lan
As consumers are increasingly engaged in social networking and E-commerce activities, businesses grow to rely on Big Data analytics for intelligence, and traditional IT infrastruct…
Twin-Finder: Integrated Reasoning Engine for Pointer-related Code Clone Detection
Hongfa Xue, Yongsheng Mei, Kailash Gogineni +2
Detecting code clones is crucial in various software engineering tasks. In particular, code clone detection can have significant uses in the context of analyzing and fixing bugs in…
CHOP: Bypassing Runtime Bounds Checking Through Convex Hull OPtimization
Yurong Chen, Hongfa Xue, Tian Lan +1
Unsafe memory accesses in programs written using popular programming languages like C/C++ have been among the leading causes for software vulnerability. Prior memory safety checker…
FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems
Abubakr Alabbasi, Vaneet Aggarwal, Tian Lan +3
Traffic for internet video streaming has been rapidly increasing and is further expected to increase with the higher definition videos and IoT applications, such as 360 degree vide…
Chronos: A Unifying Optimization Framework for Speculative Execution of Deadline-critical MapReduce Jobs
Maotong Xu, Sultan Alamro, Tian Lan +1
Meeting desired application deadlines in cloud processing systems such as MapReduce is crucial as the nature of cloud applications is becoming increasingly mission-critical and dea…
On the Approximability of Related Machine Scheduling under Arbitrary Precedence
Vaneet Aggarwal, Tian Lan, Suresh Subramaniam +1
Distributed computing systems often need to consider the scheduling problem involving a collection of highly dependent data-processing tasks that must work in concert to achieve mi…
Tiered cloud storage via two-stage, latency-aware bidding
Yang Zhang, Arnob Ghosh, Vaneet Aggarwal +1
In cloud storage, the digital data is stored in logical storage pools, backed by heterogeneous physical storage media and computing infrastructure that are managed by a Cloud Servi…
Taming Tail Latency for Erasure-coded, Distributed Storage Systems
Vaneet Aggarwal, Abubakr O. Al-Abbasi, Jingxian Fan +1
Distributed storage systems are known to be susceptible to long tails in response time. In modern online storage systems such as Bing, Facebook, and Amazon, the long tails of the s…
Sprout: A functional caching approach to minimize service latency in erasure-coded storage
Vaneet Aggarwal, Yih-Farn R. Chen, Tian Lan +1
Modern distributed storage systems often use erasure codes to protect against disk and node failures to increase reliability, while trying to meet the latency requirements of the a…
Tail Index for a Distributed Storage System with Pareto File Size Distribution
Vaneet Aggarwal, Tian Lan
Distributed storage systems often employ erasure codes to achieve high data reliability while attaining space efficiency. Such storage systems are known to be susceptible to long t…
Differentiated latency in data center networks with erasure coded files through traffic engineering
Yu Xiang, Vaneet Aggarwal, Yih-Farn R. Chen +1
This paper proposes an algorithm to minimize weighted service latency for different classes of tenants (or service classes) in a data center network where erasure-coded files are s…
Joint Latency and Cost Optimization for Erasure-coded Data Center Storage
Yu Xiang, Tian Lan, Vaneet Aggarwal +1
Modern distributed storage systems offer large capacity to satisfy the exponentially increasing need of storage space. They often use erasure codes to protect against disk and node…