Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Replicating content across a geographically distributed set of servers and redirecting clients to the closest server in terms of latency has emerged as a common paradigm for impro...
Rupa Krishnan, Harsha V. Madhyastha, Sridhar Srini...
Routing oscillation is highly detrimental. It can decrease performance and lead to a high level of update churn placing unnecessary workload on router the problem is distributed b...
Accurately identifying spam campaigns launched by a large number of bots in a botnet allows for accurate spam campaign signature generation and hence is critical to defeating spam...
Abhinav Pathak, Feng Qian, Y. Charlie Hu, Zhuoqing...
It is common that Internet service hosting centres use several logical pools to assign server resources to different applications, and that they try to achieve the highest total r...
James Wen Jun Xue, Adam P. Chester, Ligang He, Ste...