By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Fresh data on Information Technology are presented in a new report. According to news originating from London, United Kingdom, by VerticalNews correspondents, research stated, "Replication techniques are widely applied in and for cloud to improve scalability and availability. In such context, the well-understood problem is how to guarantee consistency amongst different replicas and govern the trade-off between consistency and scalability requirements."
Our news journalists obtained a quote from the research from the University of East London, "Such requirements are often related to specific services and can vary considerably in the cloud. However, a major drawback of existing service-oriented replication approaches is that they only allow either restricted consistency or none at all. Consequently, service-oriented systems based on such replication techniques may violate consistency requirements or not scale well. In this paper, we present a Scalable Service Oriented Replication (SSOR) solution, a middleware that is capable of satisfying applications' consistency requirements when replicating cloud-based services. We introduce new formalism for describing services in service-oriented replication. We propose the notion of consistency regions and relevant service oriented requirements policies, by which trading between consistency and scalability requirements can be handled within regions. We solve the associated sub-problem of atomic broadcasting by introducing a Multi-fixed Sequencers Protocol (MSP), which is a requirements aware variation of the traditional fixed sequencer approach. We also present a Region-based Election Protocol (REP) that elastically balances the workload amongst sequencers."
According to the news editors, the research concluded: "Finally, we experimentally evaluate our approach under different loads, to show that the proposed approach achieves better scalability with more flexible consistency constraints when compared with the state-of-the-art replication technique."
For more information on this research see: Scalable service-oriented replication with flexible consistency guarantee in the cloud. Information Sciences, 2014;264():349-370. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier - www.elsevier.com; Information Sciences - www.elsevier.com/wps/product/cws_home/505730)
The news correspondents report that additional information may be obtained from T. Chen, University of East London, Sch Architecture Comp & Engn, London E16 2RD, United Kingdom. Additional authors for this research include R. Bahsoon and A.R.H. Tawil.
Keywords for this news article include: London, Europe, United Kingdom, Information Technology
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