Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Metrics for Degree of Reordering in Packet Sequences
LCN '02 Proceedings of the 27th Annual IEEE Conference on Local Computer Networks
Dynamo: amazon's highly available key-value store
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Bigtable: A Distributed Storage System for Structured Data
ACM Transactions on Computer Systems (TOCS)
Queue - Object-Relational Mapping
Websphere mq v6 fundamentals
User's Guide to Websphere Extreme Scale
User's Guide to Websphere Extreme Scale
Cassandra: a decentralized structured storage system
ACM SIGOPS Operating Systems Review
| Hi-index | 0.00 |
Message queues are widely used to connect loosely coupled components to form large-scale, highly distributed, and fault-tolerant applications. A number of vendors currently provide cloud-based queuing services that are designed to be elastic, scalable, and easy to use. However, unlike enterprise queuing systems, which provide strong queuing consistency and are suitable for many traditional enterprise workloads, these cloud-based queuing services offer reduced queuing consistency. They can deliver messages without loss, but they may deliver messages out of order or with duplications. This paper presents SilverDove Queuing Service (SDQS), a scalable cloud-based queuing service with stronger consistency than existing cloud-based queuing services. SDQS delivers messages without losses or duplications and provides in-order message delivery as an option. Built on top of IBM WebSphere® eXtreme Scale, i.e., an elastic in-memory object grid system, SDQS can be easily scaled up and down to accommodate a wide range of workloads. SDQS is able to provide high availability with either the no-order or the in-order message delivery option. We have performed a preliminary evaluation of SDQS with up to 70 nodes on a compute cloud platform, verifying its consistency offerings and providing insights into the tradeoff between performance and consistency.