CSR: EAGER: A Scalable and Efficient Resource Discovery System for Large-Scale Distributed Systems

这个EAGER项目的目标是探索可扩展和高效资源发现系统（SERD）的初步设计，该系统可用于大规模分布式系统。特别值得一提的是，调查小组正在研究将以下三项关键创新纳入社会经济发展战略。(1)用于资源发现的可扩展中间件：当前的资源发现系统使用扁平的点对点（P2P）结构，导致结构维护开销高或资源发现效率低。它们还缺乏邻近感知和多资源范围查询功能。相比之下，SERD将具有相同资源的邻近节点聚集在一起，并使用骨干分层P2P结构将集群连接起来，从而允许对邻近资源进行有效的范围查询。(2)可扩展和高效的资源发现：利用(1)中的SERD中间件，PI将开发高效的资源信息编组和搜索算法。这些算法可以实现接近感知，并提供范围查询功能，使节点能够在指定范围内查找物理上接近的资源。(3)均衡的资源发现：目前的资源发现系统缺乏负载均衡算法来均衡不同节点间的资源发现负载。相比之下，SERD采用负载平衡算法来平衡不同节点之间的资源发现负载。

The objective of this EAGER project is to explore a preliminary design of a Scalable and Efficient Resource Discovery system (SERD) that can be utilized in large scale distributed systems. In particular, the PI is investigating the incorporation of the following three key innovations into SERD.(1) A scalable middleware for resource discovery:Current resource discovery systems use flat peer-to-peer (P2P) structures that lead to either high overhead in structure maintenance or low efficiency in resource discovery. They also lack proximity-awareness and multi-resource range querying capabilities. By contrast, SERD clusters proximity-close nodes that have the same resource and connects the clusters using a backbone hierarchical P2P structure, permitting efficient range querying of proximity-close resources.(2) Scalable and efficient resource discovery: Using the SERD middleware in (1), the PI will develop efficient resource information marshaling and searching algorithms. These algorithms can achieve proximity awareness and can provide range querying capabilities that enables the nodes to find physically close resources within specified ranges. (3) Balanced resource discovery:Current resource discovery systems lack a load balance algorithm to balance the resource discovery load among the different nodes. By contrast, SERD incorporates a load balancing algorithm in order to balance the resource discovery load among the different nodes.