Rollup: Non-Disruptive Rolling Upgrade with Fast Consensus-Based Dynamic Reconfigurations

Gramoli, Vincent; Bass, Len; Fekete, Alan; Sun, Daniel

doi:10.1109/tpds.2015.2499772

Cited by 25 publications

(12 citation statements)

References 33 publications

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“…q c represents the total output value of the higher-level area or the number of employees. Location entropy can reveal the level of specialization of a certain area in a specific industry [22]. e higher the location entropy value, the more obvious the advantage of the agglomeration degree of the i industry in the j area, and the other way, it shows that there is no obvious advantage [23,24].…”

Section: Location Entropymentioning

confidence: 99%

Upgrade Path and Strategy of Logistics Industry Cluster Based on the Internet of Things

2021

Mobile Information Systems

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As the economy grows rapidly and IoT technology advances rapidly, the logistics industry as a service industry is growing rapidly around the world. The logistics industry, meanwhile, is the one that can best play the role of IoT. The rapid development of the logistics industry has brought great competition challenges to the logistics industry. To solve the competitive problems of the logistics industry cluster, this article introduces the research on the upgrade path and strategy of the logistics industry cluster based on the Internet of Things and uses the analytic hierarchy process, investigation method, and expert evaluation method to build the IoT technology information model and logistics cost. According to the established optimization model, the following are proposed: analyzing the problems existing in the logistics industry cluster, giving an upgrade path from the four aspects of manufacturing, technology, structure, and service, and giving specific strategic suggestions from the aspects of talents and enterprises. The accuracy rate of current analysis is as high as 90%, and the implementation rate of upgrade paths and strategy recommendations is as high as 95%.

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Section: Location Entropymentioning

confidence: 99%

Upgrade Path and Strategy of Logistics Industry Cluster Based on the Internet of Things

2021

Mobile Information Systems

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“…Reconfiguration of distributed systems have been extensively studied in the past as it finds applications in cluster membership changes, atomic storage, file systems, replicated state machines, and rolling upgrades . The most common types of reconfigurable services are atomic storage that supports reads and writes and replicated state machine that supports generic commands, like transactions …”

Section: Related Workmentioning

confidence: 99%

ComChain: A blockchain with Byzantine fault‐tolerant reconfiguration

Vizier

Gramoli

2019

Concurrency and Computation

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Selecting which blockchain participants can decide upon a new block is a difficult problem.Consortium blockchains need the participants to be predetermined while public blockchains incentivize all participants to waste their resources to decide every block. In this paper, we introduce the community blockchain that allows potentially all participants to decide upon ''some'' block while restricting the set of participants deciding upon ''one'' block. To this end, we propose a blockchain reconfiguration, a Byzantine consensus protocol that allows to dynamically change the set of blockchain participants deciding upon the upcoming blocks. The resulting blockchain, called ComChain, is resilience optimal and transitions through different configurations of participants recorded in dedicated blocks so that each configuration decides upon its subsequent transaction blocks. We evaluate an implementation that adds reconfiguration to the Red Belly Blockchain and demonstrates its practical performance in a distributed system.

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“…Cloud, IoT, Big data, and Artificial intelligence have been committed to be the major technologies to collaboratively shape the future. Research has been conducted on different aspects . Well, in clouds, data provenance is critical to assure that data analytics can deliver reasonable service and reliability.…”

Section: Related Workmentioning

confidence: 99%

Pipeline provenance for cloud‐based big data analytics

Wang

Sun

et al. 2019

Softw Pract Exp

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Summary Provenance is information about the origin and creation of data. In data science and engineering related with cloud environment, such information is useful and sometimes even critical. In data analytics, it is necessary for making data‐driven decisions to trace back history and reproduce final or intermediate results, even to tune models and adjust parameters in a real‐time fashion. Particularly, in cloud, users need to evaluate data and pipeline trustworthiness. In this paper, we propose a solution: LogProv, toward realizing these functionalities for big data provenance, which needs to renovate data pipelines or some of big data software infrastructure to generate structured logs for pipeline events, and then stores data and logs separately in cloud space. The data are explicitly linked to the logs, which implicitly record pipeline semantics. Semantic information can be retrieved from the logs easily since they are well defined and structured beforehand. We implemented and deployed LogProv in Nectar Cloud,* associated with Apache Pig, Hadoop ecosystem, and adopted Elasticsearch to provide query service. LogProv was evaluated and empirically case studied. The results show that LogProv is efficient since the performance overhead is no more than 10%; the query can be responded within 1 second; the trustworthiness is marked clearly; and there is no impact on the data processing logic of original pipelines.

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Rollup: Non-Disruptive Rolling Upgrade with Fast Consensus-Based Dynamic Reconfigurations

Cited by 25 publications

References 33 publications

Upgrade Path and Strategy of Logistics Industry Cluster Based on the Internet of Things

Upgrade Path and Strategy of Logistics Industry Cluster Based on the Internet of Things

ComChain: A blockchain with Byzantine fault‐tolerant reconfiguration

Pipeline provenance for cloud‐based big data analytics

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