ABAkhil Bandarupalli

Akhil Bandarupalli

*This is an algorithmically generated author record based on publicly available information.

Akhil Bandarupalli has a total of 8 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Computationally Efficient Asynchronous MPC with Linear Communication and Low Additive Overhead

    by Akhil Bandarupalli, Xiaoyu Ji, Aniket Kate, Chen-Da Liu-Zhang, Yifan Song


  • The Unique Chain Rule and Its Applications

    by Adithya Bhat, Akhil Bandarupalli, Saurabh Bagchi, Aniket Kate, Michael K. Reiter


  • Open Access

    EESMR: Energy Efficient BFT-SMR for the masses

    by Adithya Bhat, Akhil Bandarupalli, Manish Nagaraj, Saurabh Bagchi, Aniket Kate, Michael K. Reiter

    Modern Byzantine Fault-Tolerant State Machine Replication (BFT-SMR) solutions focus on reducing communication complexity, improving throughput, or lowering latency. This work explores the energy efficiency of BFT-SMR protocols. First, we propose a novel SMR protocol that optimizes for the steady state, i.e., when the leader is correct. This is done by reducing the number of required signatures per consensus unit and the communication complexity by order of the number of nodes n compared to the state-of-the-art BFT-SMR solutions. Concretely, we employ the idea that a quorum (collection) of signatures on a proposed value is avoidable during the failure-free runs. Second, we model and analyze the energy efficiency of protocols and argue why the steady-state needs to be optimized. Third, we present an application in the cyber-physical system (CPS) setting, where we consider a partially connected system by optionally leveraging wireless multicasts among neighbors. We analytically determine the parameter ranges for when our proposed protocol offers better energy efficiency than communicating with a baseline protocol utilizing an external trusted node. We present a hypergraph-based network model and generalize previous fault tolerance results to the model. Finally, we demonstrate our approach's practicality by analyzing our protocol's energy efficiency through experiments on a CPS test bed. In particular, we observe as high as 64% energy savings when compared to the state-of-the-art SMR solution for n=10 settings using BLE.