Efficient Concurrent Execution of Smart Contracts in Blockchains Using Object-Based Transactional Memory

Anjana, Parwat Singh; Attiya, Hagit; Kumari, Sweta; Peri, Sathya; Somani, Archit

doi:10.1007/978-3-030-67087-0_6

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…To improve the throughput further, one can perform concurrent execution of transactions within a shard based on STM to leverage multi-processing on a single device (follower). 2,9,10 This is left as a future extension. Once all followers complete the execution of the shards assigned to them, the leader computes the block's final state from the local states returned by the followers.…”

Section: Community Acting As Minermentioning

confidence: 99%

“…But, the problem here is that the miners can encode an invalid transaction dependency information that can cause the validation to be incorrect. 10 This problem does not arise in our default validator since the static analysis is done independently by them. In our experiments, we compare the performance benefit of these approaches.…”

Section: A 2 a 3 T 8 (A 4 )mentioning

confidence: 99%

“…For the concurrent execution of the smart contract within the single multi-core system, Dickerson et al 2 and Anjana et al 10,11 proposed STM based multi-threaded approaches. They achieve better speedup over serial execution of the transactions.…”

Section: Multi-threaded Techniquesmentioning

confidence: 99%

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DiPETrans: A framework for distributed parallel execution of transactions of blocks in blockchains

Baheti¹,

Anjana

Peri

et al. 2022

Concurrency and Computation

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Contemporary blockchain such as Bitcoin and Ethereum execute transactions serially by miners and validators and determine the Proof-of-Work (PoW). Such serial execution is unable to exploit modern multi-core resources efficiently, hence limiting the system throughput and increasing the transaction acceptance latency. The objective of this work is to increase the transaction throughput by introducing parallel transaction execution using a static analysis over the transaction dependencies. We propose the DiPETrans framework for distributed execution of transactions in a block. Here, peers in the blockchain network form a community of trusted nodes to execute the transactions and find the PoW in-parallel, using a leader-follower approach. During mining, the leader statically analyzes the transactions, creates different groups (shards) of independent transactions, and distributes them to followers to execute concurrently. After execution, the community's compute power is utilized to solve the PoW concurrently. When a block is successfully created, the leader broadcasts the proposed block to other peers in the network for validation. On receiving a block, the validators re-execute the block transactions and accept the block if they reach the same state as shared by the miner. Validation can also be done in parallel, following the same leader-follower approach as mining. We report experiments using over 5 million real transactions from the Ethereum blockchain and execute them using our DiPETrans framework to empirically validate the benefits of our techniques over a traditional sequential execution. We achieve a maximum speedup of 2.2× and 2.0× and an average speedup of 1.6× and 1.5× for the miner and the validator, respectively, with 100-500 transactions per block when using 6 machines in the community. Further, we achieve a peak of 5× end-to-end block creation speedup using a parallel miner over a serial miner.

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Section: Community Acting As Minermentioning

confidence: 99%

Section: A 2 a 3 T 8 (A 4 )mentioning

confidence: 99%

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DiPETrans: A framework for distributed parallel execution of transactions of blocks in blockchains

Baheti¹,

Anjana

Peri

et al. 2022

Concurrency and Computation

Self Cite

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“…This makes it difficult to tamper with the distributed ledger. The resulting structure is in the form of a linked list or a chain of blocks, hence the name blockchain [3,4].…”

Section: Introductionmentioning

confidence: 99%

DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using Blockchain

Agrawal,

Anjana,

Peri

2020

Preprint

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The surge in the spread of misleading information, lies, propaganda, and false facts, frequently known as fake news, raised questions concerning social media's influence in today's fast-moving democratic society. The widespread and rapid dissemination of fake news cost us in many ways. For example, individual or societal costs by hampering elections integrity, significant economic losses by impacting stock markets, or increases the risk to national security. It is challenging to overcome the spreading of fake news problems in traditional centralized systems. However, Blockchain-a distributed decentralized technology that ensures data provenance, authenticity, and traceability by providing a transparent, immutable, and verifiable transaction records can help in detecting and contending fake news. This paper proposes a novel hybrid model DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using Blockchain. The DeHiDe is a blockchain-based framework for legitimate news sharing by filtering out the fake news. It combines the benefit of blockchain with an intelligent deep learning model to reinforce robustness and accuracy in combating fake news's hurdle. It also compares the proposed method to existing state-of-the-art methods. The DeHiDe is expected to outperform state-of-the-art approaches in terms of services, features, and performance.

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Evaluating the Parallel Execution Schemes of Smart Contract Transactions in Different Blockchains: An Empirical Study

Shi

et al. 2022

Lecture Notes in Computer Science

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Efficient Concurrent Execution of Smart Contracts in Blockchains Using Object-Based Transactional Memory

Cited by 8 publications

References 13 publications

DiPETrans: A framework for distributed parallel execution of transactions of blocks in blockchains

DiPETrans: A framework for distributed parallel execution of transactions of blocks in blockchains

DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using Blockchain

Evaluating the Parallel Execution Schemes of Smart Contract Transactions in Different Blockchains: An Empirical Study

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