Quagga might remind a little majority of people of an extint African zebra. However Quagga is also the name of an open source project that focuses on the future of networking. It is one of the projects that is being boosted by Google push for Open Source Networking. Google has joined hands with the Internet Systems Consortium to found Open Source Routing. Open Source Routing focuses on bringing Open Source solutions for Openflow, Software-defined networking and other technologies that are needed in today’s Webscale networking. Google also is pushing the ALTO protocol in order to improve quality of service for P2P and more importantly content delivery networks.
Google’s dream is to do the same with networking at it did with servers. Buy cheap commodity hardware and make resilient systems via software solutions. This strategy is directly in conflict with companies like Cisco or Juniper that focus on expensive proprietary hardware solutions. Google is trying to find cheap hardware in order to install Open vSwitch and other similar software on it.
Telecom operators and solution providers are wise to evaluate participating in the Open Source Routing effort. Verizon is one of the pioneers in trying out Openflow and the benefits it can have for carriers. Expect a lot of innovation from companies without a big brand to come in the coming months, examples could be bigswitch, fastly, pica8, etc.
Hadoop has run into architectural limitations and the community has started working on the Next Generation Hadoop [NGN Hadoop]. NGN Hadoop has some new management features of which multi-tenant application management is the major one. However the key change is that MapReduce no longer is entangled inside the rest of Hadoop. This will allow Hadoop to be used for MPI, Machine Learning, Master-Worker, Iterative Processing, Graph Processing, etc. New tools to better manage Hadoop are also being incubated, e.g. Ambari and HCatalog.
Why is this important for telecom?
Having one platform that allows massive data storage, peta-byte data analytics, complex parallel computations, large-scale machine learning, big data map reduce processing, etc. all in one multi-tenant set-up means that telecom operators could see massive reductions in their architecture costs together with faster go-to-market, better data intelligence, etc.
Telecom applications, that are redesigned around this new paradigm, can all use one shared back-office architecture. Having data centralized into one large Hadoop cluster instead of tens or hundreds of application-specific databases, will enable unseen data analytics possibilities and bring much-needed efficiencies.
What is needed is that several large operators define this approach as their standard architecture hence telecom solution providers will start incorporating it into their solutions. Commercial support can be easily acquired from companies like Hortonworks, Cloudera, etc.
Having one shared data architecture and multi-tenant application virtualization in the form of a Telco PaaS would allow third-parties to launch new services quickly and cheaply, think days in stead of years…