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The development of Internet and Web systems in recent years has made it difficult and challenging to deal with large-scale data. What we usually need to process is incremental data, the scale of which will enlarge with the changing of time. Nowadays, many general queries over data is traditionally based on the full amount of raw data, which becomes a great challenge to performance when the data increases...
Log data is of great value for operation and maintenance of systems and networks. With log data, system behaviors can be monitored, traced, analyzed, to detect unusual circumstances and identify warnings, for the purpose of taking timely measure. However, nowadays many general systems making queries and retrieval over log data is traditionally based on the full amount of raw data. When the amount...
This paper mainly focuses on the impact of supply chain structures and the government's low carbon subsidies on the manufacturer and the retailer's profit, and conditions that encourage manufacturer reduce carbon emission voluntarily. To solve this problems, this paper established the Stackelberg game model and Vertical Nash game model to study how the reduction of carbon emission and the proportion...
BitTorrent, one of the most popular peer-to-peer file sharing applications, accounts for a large proportion of the total Internet traffic. While its appearance benefits the content distributors and users, the traffic injected into the network backbone has become a great challenge for the ISPs. In this paper, we study traffic shaping in BitTorrent-like applications to improve traffic locality and enable...
Consistency maintenance mechanism is necessary for the emerging peer-to-peer applications due to their frequent data updates. Centralized approaches suffer single point of failure, while previous decentralized approaches incur too many duplicate update messages because of locality-ignorant structures. To address this issue, we propose a scalable and efficient consistency maintenance scheme for heterogeneous...
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