CHIEF: Controller Farm for Clouds of Software-Defined Community Networks

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The document proposes CHIEF, a networking platform that uses a federation of SDN controllers to orchestrate multi-tenant community networks and enable interoperability between community network clouds. CHIEF offers scalability, privacy, and control for software-defined community networks through its controller farm architecture and auxiliary services like monitoring, throttling, and metering. Preliminary assessments of CHIEF prototypes show the feasibility of its complimentary monitoring and billing capabilities for community networks.

Engineering

CHIEF: Controller Farm for Clouds of
Software-Deﬁned Community Networks
Pradeeban Kathiravelu, Lu´ıs Veiga
Distributed Systems Group, INESC-ID Lisboa
Instituto Superior T´ecnico, Universidade de Lisboa
Lisbon, Portugal
3rd IEEE International Symposium on Software Deﬁned Systems (SDS 2016).
April 04, 2016. Berlin, Germany.
Pradeeban Kathiravelu (IST-ULisboa) CHIEF 1 / 12

Introduction
Introduction
Community networks leverage networking resources from the
community itself to oﬀer telecommunication networks for the same
community.
Scalability.
Privacy.
Control.
Software-Deﬁned Networking (SDN) oﬀers a global view of the
elements composing the network.
Pradeeban Kathiravelu (IST-ULisboa) CHIEF 2 / 12

Introduction
CHIEF
A networking platform for clouds of Software-Deﬁned Community
Networks.
Oﬀers a controller farm through a federation of SDN controllers
to orchestrate the multi-tenanted community network.
Interoperable clouds of community networks
by extending and deploying a federated and orchestrated cluster of
SDN controllers.
Complimentary business functionalities for inter-community network
clouds.
Monitoring.
Throttling.
Metering.
Pradeeban Kathiravelu (IST-ULisboa) CHIEF 4 / 12

Introduction
CHIEF Deployment Architecture
Pradeeban Kathiravelu (IST-ULisboa) CHIEF 5 / 12

Introduction
CHIEF Execution Flow
Pradeeban Kathiravelu (IST-ULisboa) CHIEF 6 / 12

Introduction
CHIEF Controller Farm
Pradeeban Kathiravelu (IST-ULisboa) CHIEF 7 / 12

Introduction
CHIEF Network Traﬃc Monitoring
Pradeeban Kathiravelu (IST-ULisboa) CHIEF 8 / 12

Conclusion
Conclusion and Future Work
An extended architecture and deployment of SDN controllers.
A very large horizontal scalability.
Tenant isolation.
Auxiliary services.
Management.
Billing.
Interoperability of community networks.
Preliminary assessments on the prototype implementations.
Feasibility of complimentary monitoring.
Billing capabilities to community networks.
Pradeeban Kathiravelu (IST-ULisboa) CHIEF 9 / 12

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The diversity of data management systems affords developers the luxury of building heterogeneous architectures to address the unique needs of big data. It allows one to mix-n-match systems that can store, query, update, and process data based on specific use cases. However, this heterogeneity brings with it the burden of developing custom interfaces for each data management system. Existing big data frameworks fall short in mitigating these challenges imposed. In this paper, we present Bindaas, a secure and extensible big data middleware that offers uniform access to diverse data sources. By providing a RESTful web service interface to the data sources, Bindaas exposes query, update, store, and delete functionality of the data sources as data service APIs, while providing turn-key support for standard operations involving access control and audit-trails. The research community has deployed Bindaas in various production environments in healthcare. Our evaluations highlight the efficiency of Bindaas in serving concurrent requests to data source instances with minimal overheads.

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Services that access or process a large volume of data are known as data services. Big data frameworks consist of diverse storage media and heterogeneous data formats. Through their service-based approach, data services offer a standardized execution model to big data frameworks. Software-Defined Networking (SDN) increases the programmability of the network, by unifying the control plane centrally, away from the distributed data plane devices. In this paper, we present Software-Defined Data Services (SDDS), extending the data services with the SDN paradigm. SDDS consists of two aspects. First, it models the big data executions as data services or big services composed of several data services. Then, it orchestrates the services centrally in an interoperable manner, by logically separating the executions from the storage. We present the design of an SDDS orchestration framework for network-aware big data executions in data centers. We then evaluate the performance of SDDS through microbenchmarks on a prototype implementation. By extending SDN beyond data centers, we can deploy SDDS in broader execution environments. https://kkpradeeban.blogspot.com/2018/04/software-defined-data-services.html

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Big services need to be componentized into microservices and composed together to execute as distributed applications across organizations and users on the internet. By using software-defined networking and sending the service to the data instead of sending data across the globe, these componentized microservices can be executed in a network-aware manner based on policies that map services to the network. This allows for subscription-based inter-domain communication when composing big services in a software-defined inter-cloud.

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CHIEF: Controller Farm for Clouds of Software-Defined Community Networks

1. CHIEF: Controller Farm for Clouds of Software-Defined Community Networks Pradeeban Kathiravelu, Lu´ıs Veiga Distributed Systems Group, INESC-ID Lisboa Instituto Superior Técnico, Universidade de Lisboa Lisbon, Portugal 3rd IEEE International Symposium on Software Defined Systems (SDS 2016). April 04, 2016. Berlin, Germany. Pradeeban Kathiravelu (IST-ULisboa) CHIEF 1 / 12

2. Introduction Introduction Community networks leverage networking resources from the community itself to offer telecommunication networks for the same community. Scalability. Privacy. Control. Software-Defined Networking (SDN) offers a global view of the elements composing the network. Pradeeban Kathiravelu (IST-ULisboa) CHIEF 2 / 12

3. Introduction Introduction Community networks leverage networking resources from the community itself to offer telecommunication networks for the same community. Scalability. Privacy. Control. Software-Defined Networking (SDN) offers a global view of the elements composing the network. SDN in a very large scale deployment for community network clouds. Pradeeban Kathiravelu (IST-ULisboa) CHIEF 3 / 12

4. Introduction CHIEF A networking platform for clouds of Software-Deﬁned Community Networks. Oﬀers a controller farm through a federation of SDN controllers to orchestrate the multi-tenanted community network. Interoperable clouds of community networks by extending and deploying a federated and orchestrated cluster of SDN controllers. Complimentary business functionalities for inter-community network clouds. Monitoring. Throttling. Metering. Pradeeban Kathiravelu (IST-ULisboa) CHIEF 4 / 12

5. Introduction CHIEF Deployment Architecture Pradeeban Kathiravelu (IST-ULisboa) CHIEF 5 / 12

6. Introduction CHIEF Execution Flow Pradeeban Kathiravelu (IST-ULisboa) CHIEF 6 / 12

7. Introduction CHIEF Controller Farm Pradeeban Kathiravelu (IST-ULisboa) CHIEF 7 / 12

8. Introduction CHIEF Network Traﬃc Monitoring Pradeeban Kathiravelu (IST-ULisboa) CHIEF 8 / 12

9. Conclusion Conclusion and Future Work An extended architecture and deployment of SDN controllers. A very large horizontal scalability. Tenant isolation. Auxiliary services. Management. Billing. Interoperability of community networks. Preliminary assessments on the prototype implementations. Feasibility of complimentary monitoring. Billing capabilities to community networks. Pradeeban Kathiravelu (IST-ULisboa) CHIEF 9 / 12

10. Conclusion Conclusion and Future Work An extended architecture and deployment of SDN controllers. A very large horizontal scalability. Tenant isolation. Auxiliary services. Management. Billing. Interoperability of community networks. Preliminary assessments on the prototype implementations. Feasibility of complimentary monitoring. Billing capabilities to community networks. In the presence of a logically centralized control plane. Pradeeban Kathiravelu (IST-ULisboa) CHIEF 10 / 12

11. Conclusion Conclusion and Future Work An extended architecture and deployment of SDN controllers. A very large horizontal scalability. Tenant isolation. Auxiliary services. Management. Billing. Interoperability of community networks. Preliminary assessments on the prototype implementations. Feasibility of complimentary monitoring. Billing capabilities to community networks. In the presence of a logically centralized control plane. CHIEF should be deployed on real community networks. Evaluation for the eﬃciency in proposed use cases. Pradeeban Kathiravelu (IST-ULisboa) CHIEF 11 / 12

12. Conclusion Conclusion and Future Work An extended architecture and deployment of SDN controllers. A very large horizontal scalability. Tenant isolation. Auxiliary services. Management. Billing. Interoperability of community networks. Preliminary assessments on the prototype implementations. Feasibility of complimentary monitoring. Billing capabilities to community networks. In the presence of a logically centralized control plane. CHIEF should be deployed on real community networks. Evaluation for the eﬃciency in proposed use cases. Thank you! Questions? Pradeeban Kathiravelu (IST-ULisboa) CHIEF 12 / 12

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