The last few years have seen a steady rise in the occurrence and sophistication of distributed denial of service (DDoS) attacks. Volume-based attacks aggregate at a target’s access router, suggesting that (i) detection and mitigation is best done by providers in their networks; and (ii) attacks are most readily detectable at access routers, where their impact is strongest. In-network detection ...

The rise of ubiquitous computing has created a need for wide-area durable storage. We propose a model and interface for such an archival system, that stores data in a durable, verifiable, available, and self-maintainable manner. We argue that such a system can be created by using novel techniques of erasure codes, secure hashing, and decentralized wide-area location infrastructures to distribut...

We present TritonSort, a highly efficient, scalable sorting system. It is designed to process large datasets, and has been evaluated against as much as 100 TB of input data spread across 832 disks in 52 nodes at a rate of 0.916 TB/min. When evaluated against the annual Indy GraySort sorting benchmark, TritonSort is 60% better in absolute performance and has over six times the per-node efficienc...

This paper presents a large scale audio fingerprinting system, which can be used to retrieve intended song from more than a million audio tracks. A time offset of several milliseconds could cause a number of audio fingerprints disappear. To decrease this effect, the query clip is converted to several copies with different start times. The audio fingerprints are mapped to hashes. Based on the st...

For direct process control are most frequently used control systems based on PLCs (Programmable Logic Controllers), industrial controllers and other standard control systems. Applications based on standard industrial control systems and industrial serial networks are usually too expensive for small and very small application. For that reason has been proposed and developed small, highly modular...

This paper describes a software tool called GROMIT and associated methods being developed by the Statistical Sciences Group (D-1) at Los Alamos National Laboratory in support of determining dependency structures describing large system behavior. While focused on the problem of reliability prediction, the discussion is relevant to other analytic situations such as determining the actors and beha...

in a large scale cyclic storage system ,as the number of rule parameters and/or number of operating period increase, general purpose gradient-based nlp solvers and/or genetic algorithms may loose their merits in finding optimally feasible solution to the problem. in these cases hybrid ga which decomposes the main problem into two manageable sub-problems with an iterative scheme between ga and l...

This paper addresses a central challenge in PRISM, a large-scale distributed monitoring system: coping with the uncertainties and ambiguities introduced by network and node failures. In particular, in a large scale monitoring system, such failures interact badly with techniques needed for scalability like hierarchy, arithmetic filtering, and temporal batching. For example, if a monitoring subtr...