Google is actively researching ways to improve TCP: Our research shows that the key to reducing latency is saving round trips. We’re experimenting with several improvements to TCP. Here’s a summary of some of our recommendations to make TCP faster: Increase TCP initial congestion window to 10 (IW10). The amount of data sent at the beginning of a TCP connection is currently 3 packets, implying 3 ro
From the announcement of VoltDB being used by the Japanese ISP, Sakura Internet, for their real-time Internet traffic monitoring and analysis platform for detecting and mitigating large-scale distributed denial of service (DDoS) attacks: Tamihiro Yuzawa[1]: Our system needs to be capable of sifting through massive amounts of traffic flow data in real-time. VoltDB was our choice from the beginning
Herman Stevens summarizes the findings of the paper “Security Issues in NoSQL Databases”: The paper itself concluded that the main problems to both Cassandra and MongoDB are “the lack of encryption support for the data files, weak authentication both between the client and the servers and between server members, very simple authorization without support for RBAC or fine-grained authorization, and
The requirements were clear: Fast data insertion.Extremely fast random reads on large datasets. Consistent read/write speed across the whole data set. Efficient data storage. Scale well.Easy to maintain. Have a network interface.Stable, of course.The list of NoSQL databases to be compared: Tokyo Cabinet, BerkleyDB, MemcacheDB, Project Voldemort, Redis, and MongoDB, not so clear. The methodology to
Today looks to be (again) the day of the CAP theorem[1][2], so let’s do a quick summary: We had Coda Hale’s ☞ You can’t sacrifice partition tolerance: Of the CAP theorem’s Consistency, Availability, and Partition Tolerance, Partition Tolerance is mandatory in distributed systems. You cannot not choose it. Instead of CAP, you should think about your availability in terms of yield (percent of reques
In the light of ☞ Google Caffeine announcement — a summary of a summary would be that Google replaced MapReduce-based index updates with a new engine that would provide more timely updates — ☞ Tony Bain is wondering if Michael Stonebraker and DeWitt’ paper ☞ MapReduce: a major step backwards hasn’t thus been proved to be correct: Firstly, was Stonebraker and Dewitt right? It is red faced time for
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