In this paper we propose a method based on distributed hashing to locate mobile agents in a system. The strategy is fully distributed, and transparent to the client that is performing the locating request; moreover, it is scalable and efficient. The idea is to treat mobile agents and hosts similarly to the way peers are treated in a Peer-to-peer system, and to implement a lookup protocol that is based on that principle, while taking care of the mobile nature of the agents. We also introduce the notion of Agent Pool, which allows us to reuse mobile agents that might be idle in the system instead of creating new ones at each request.
For explore of prior unpredictable and unfriendly humans working environment, information return has a strong practical application. The article discusses how to remote control and command of the smart car operation, and how to transmit all kinds of information in smart car environment quickly and undistorted to commander. Researching method is the combination of 3G mobile communication network and smart car technology. The final design of the remote smart car product, the principle and the hardware design scheme are given in this paper.
Large-scale distributed storage systems, such as object stores, usually apply hashing-based placement and lookup methods to achieve scalability and resource efficiency. However, when object locations are determined by hash values, placement becomes inflexible, failing to optimize or satisfy application requirements such as load balance, failure tolerance, parallelism, and network/system performance. This work presents a novel solution to achieve the best of two worlds: flexibility while maintaining cost-effectiveness and scalability. The proposed method Smash is an object placement and lookup method that achieves full placement flexibility, balanced load, low resource cost, and short latency. Smash utilizes a recent space-efficient data structure and applies it to object-location lookups. We implement Smash as a prototype system and evaluate it in a public cloud. The analysis and experimental results show that Smash achieves full placement flexibility, fast storage operations, fast recovery from node dynamics, and lower DRAM cost (<60%) compared to existing hash-based solutions such as Ceph and MapX.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.