Demos & ExhibitsThe 9th International Conference on COMmunication Systems and NETworkS (COMSNETS) will be held in Bangalore, India, during January 4-8, 2017. COMSNETS is a premier international conference dedicated to advances in Networking and Communications Systems. The conference is a yearly event for a world-class gathering of researchers from academia and industry, practitioners, and business leaders, providing a forum for discussing cutting edge research, and directions for new innovative business and technology.
What?We invite demos from researchers, startups and corporates that showcase cutting edge information technologies and applications thereof. Every selected startup demo will be exhibited for 4 hours to give ample time for audience interactions. Corporate and research demos will have the option of longer demos.
Why?COMSNETS is the premier conference in its domain held in India. This is an unique opportunity to show off your technologies and applications to an international audience that is helping build the next generation of technologies. To ensure you get the most out of the event we have the following planned:
- Interactions with expert panels
- Showcase to industry partners, potential recruits and potential investors
- Media coverage during the event
- Wider outreach as part of conference proceedings
There are following two different submission categories i.e. research demo, and product demonstrations.
Research Demo: Research prototype with novel and clear technical contributions are invited. Authors of accepted full papers are highly encouraged to submit original demo entry.
A 2 page abstract of the demo that captures motivation for the problem, the solution approach, results (if any), and a brief description of the technology demonstration. The abstract should use the same template as for the conference paper submission. Abstracts which do not adhere to the conference template will be rejected without review. All submissions must be in PDF format.
All the submitted entries will go through peer-review process. Accepted and presented submissions in this category will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
Product Exhibitions: Proposals to showcase products from start-up and industries are invited in this category. Submissions in this category will require a proposal outlining the motivation and the technology/use case that will be demoed. All the sponsoring organizations are encouraged to submit an entry in this category.
Where to SubmitPlease submit your demo/exhibit proposal using this form.
|D&E Sessions||January 5 & 6, 2017|
Title: Segment RoutingSudheer Kalyanashetty; Manish Gupta and B Divakaran, CISCO
Segment routing is a network technology focused on addressing the pain points of existing IP and Multiprotocol Label Switching (MPLS) networks in terms of simplicity, scale, and ease of operation. It’s a foundation for Application Engineered Routing(AER) as it prepares the networks for new business models where applications can direct network behavior.
Segment routing seeks the right balance between distributed intelligence and centralized optimization and programming. It was built for the software-defined networking (SDN) era. Segment routing enables enhanced packet forwarding behavior. It enables a network to transport unicast packets through a specific forwarding path, other than the normal shortest path that a packet usually takes. This capability benefits many use cases, and you can build those specific paths based on application requirements.
Segment routing uses the source routing paradigm. A node, usually a router but it can also be a switch, a trusted server, or a virtual forwarder running on a hypervisor, steers a packet through an ordered list of instructions, called segments. A segment can represent any instruction, topological or service-based. A segment can have a local semantic to a segment-routing node or global within a segment-routing network. Segment routing allows you to enforce a flow through any topological path and service chain while maintaining per-flow state only at the ingress node to the segment-routing network. To be aligned with modern IP networks, segment routing supports equal-cost multipath (ECMP) by design, and the forwarding within a segment-routing network uses all possible paths, when desired.
Segment routing relies on a small number of extensions to routing protocols (IS-IS, OSPF & BGP). It supports both IPv4 & IPv6 and can operate with either an MPLS or an IPv6 native data plane. Segment Routing is supported by multiple vendors with Cisco leading the way.
Segment Routing Use cases –
- TI-LFA (Topology Independent – Loop Free Alternative): A post-convergence path based LFA for IGPs which gives 100% coverage in any topology with 50 msec link, node & SRLG protection which cannot be solved by convention LFAs.
- SR micro loop Avoidance: A mechanism to avoid Transient loops due to unsynchronized FIB states across nodes caused due to link flaps.
- SRTE (Segment Routing Traffic Engineering): SRTE provides tunnel paths which are not signaled upfront, but rather included in each packet in the form of a label stack eliminating the need for RSVP and enables networks to move towards SDN.
Title: Digital CeilingArun Bhat, Harsh Shah, Souramita Sen and Padmanabhan Ramanujam; CISCO, India
Internet of Things (IoT) is forefront of multifaceted research and development activity around the world. The Digital Ceiling solution is part of a larger class of applications for the IoT. This set of applications is known as Enterprise IoT, where Network Powered Lighting is the pioneer. As more things in carpeted offices become connected to IP networks for power and control, Lighting endpoints can be efficiently powered by Cisco’s “Power over Ethernet+” (POE+) and Universal PoE (UPoE) technology and controlled by Open source Constrained Application Protocol(CoAP). The Cisco switch implements CoAP protocol that provides network topology and tree view for all endpoints, serves as a proxy between the controller and various third party endpoints over the IP network. All the above can be accomplished using Cisco’s Digital Building Mobile application that is available on both Android and iOS, which is intuitive, easy to deploy and troubleshoot while installing the Lighting network. Our demo showcases one of the key building blocks of an IoT future, bringing inexpensive, efficient and easy to manage LED Lighting under the fold of the network, paving the way for much more in the future.
Title: Seabed: Big Data Analytics over Encrypted DatasetsRanjita Bhagwan, Microsoft Research
Today, enterprises collect large amounts of data and leverage the cloud to perform analytics over this data. Since the data is often sensitive, enterprises would prefer to keep it confidential and to hide it even from the cloud operator. Systems such as CryptDB can accomplish this by operating mostly on encrypted data; however, these systems rely on expensive cryptographic techniques that limit performance in true “big data” scenarios that involve terabytes of data, or more. We will present Seabed, a system that enables efficient analytics over large encrypted data sets. In contrast to previous systems, which rely on asymmetric encryption schemes, Seabed uses a novel, additively symmetric homomorphic encryption scheme (ASHE) to perform large-scale aggregations efficiently. Additionally, Seabed introduces a novel randomized encryption scheme called Splayed ASHE or SPLASHE that can, in certain cases, prevent frequency attacks based on auxiliary data. Seabed has been implemented on Apache/Spark. On real workloads, Seabed performs analytics on encrypted data with an average performance overhead of 25%.
Title: Kwikr: Fast Bandwidth Adaptation Using Wi-Fi HintsRajdeep Das, Microsoft Research
Real-Time Audio/Video conferencing applications such as Skype, Hangouts and Facetime use bandwidth adaptation mechanisms that currently operate end-to-end over the internet. Hence, network problems on congested and unstable WiFi downlinks result in poor performance of these bandwidth adaptation mechanisms. We will present Kwikr, which improves bandwidth adaptation by leveraging hints pertaining to the state of the Wi-Fi link, including congestion, link fluctuations, and handoffs. Experiments in several Wi-Fi networks show that Kwikr enables fast yet safe bandwidth adaptation in varying situations. Kwikr has been integrated into a popular AV conferencing application with hundreds of millions of users.
Title: Measuring impact of a tweet on brand mentionsAnandhavelu N, Adobe Research Big data Experience Lab
Marketing on social microblogging sites like Twitter has gained ground in the last few years for their viral nature and speciﬁc targeting. Marketers give promoted tweets targeted to speciﬁc group in order to increase their brand awareness. However, they cannot correctly attribute the inﬂuence their tweets are having on the brand mentions, as the measures used by them like click count and retweet count are biased due to the network effect that lies between the people who have clicked and retweeted the tweets. People may click or retweet a tweet about the brand on hearing about the brand from their friends’ tweets and not being inﬂuenced by the tweet itself. We consider this social attribution problem and, using the dataset available for three different brands, Tweetcred, Lightroom and Baarzo, we come up with a model to measure the inﬂuence a tweet is having on users regarding brand mentions, taking into account the underlying network effect present in Twitter. Using our model, we also show how the network effect biases the retweet and click counts. Finally, we consider the role the handle plays from which the tweet has been generated. We come up with an A/B test model to ﬁnd out whether the tweet content is inﬂuencing the people, or is the handle.
Title: Robotic Communication with Multi-path TCPHemant Rath, TCS Research
The use of robots in our day-to-day life is increasing rapidly. This requires for continuous and ubiquitous connectivity between the robots. Since most of the deployed topographies are hostile in nature, reliable communication between robots becomes a challenge. In addition, wireless channels are also inherently unreliable in terms of bandwidth, delay and error rate. In the recent past, Multipath TCP has been proposed for data center communication for improved data rate between hosts. MPTCP achieves this by exploiting multiple interfaces available on the host devices. We suggest the use of MPTCP for robotic communication for improved throughput, delay and error resilience. In this demo we show the integration of MPTCP with ROS on raspberry pi3 platform. We also demonstrate the improved QoS in terms of reliability and throughput in the above environment.
Title: Real-time sensing of respiration using cameraPragathi Praveena, Xerox Research
The World Health Organization attributes respiratory diseases as the cause for more than 17% of human deaths worldwide. Regular respiration monitoring and assessment is vital for diagnosis and disease management. The existing techniques for respiratory assessment like spirometry, impedance pneumography and plethysmography use contact-based probes in the form of leads or straps. Such contact-based methods cause irritation and are difficult to use in situations like monitoring at home or neonates in the ICU. They may also interfere with other medical procedures like gated magnetic resonance or X-ray imaging. Sometimes patients change their normal breathing pattern during contact-based monitoring. Thus, non-contact respiratory monitoring is an immensely important problem in biomedical engineering.
Title: GoBengaluruT Rajasubramaniam, Xerox Research
Multi-modal trip planning is very commonly used by commuters availing public transportation everywhere to plan their trip. While public transportation is cheap, trip plans containing only public transportation have issues such as last mile connectivity, inconvenience of timing and walking radius etc. associated with it. In addition, more often than not, such plans include multiple hops or transfers, aggravating the inconvenience. On the other hand, owning a car that one drives around on their own, or hiring a taxicab for dedicated service may be convenient in providing point-to-point transportation, but are often expensive.
Ride sharing is becoming a popular mode of transport due to the attractive cost-convenience trade-off that it offers: It is cheaper than using one’s own car or a hired cab for dedicated travel, and not significantly more expensive than (and often comparable in terms of cost to) public transportation. With just a few stops (depending on the number of commuters sharing the vehicle), it is much more convenient than public transport with no transfers and faster travel. To some extent, this can also alleviate the last mile connectivity problem for public transportation. Apart from being a sustainable mode of travel, ride sharing is also of interest to private service providers, as this leads to higher vehicle utilization, and overall higher profits. City planners and corporate organizations also encourage ride sharing, as it reduces the number of vehicles on the road.
However, ride sharing has not attained a level of ubiquity and reliability that public transportation enjoys, due to uncertainty about the availability of shared rides in a given location at a given time. Whenever enough people are willing to share their rides and commuters can be conveniently matched without a significant overhead or inconvenience, it may be preferred over other modes of transportation; however, in the absence of shared rides, it becomes necessary to rely on scheduled modes of transportation as a backup plan.
In this demo, we present Go Bengaluru, a multi-modal trip planning app which additionally allows commuters to share their ride (subject to customizable criteria such as number of seats, maximum detour, etc.) or find a shared ride (subject to customizable criteria such as limits on walking distance, detours, etc.). The XAR system then solves the problem of matching the supply and demand by taking into account multiple constraints of both the ride offerer and ride seekers, and communicates the matched rides back to the commuters involved. The app allows commuters to plan their shared rides as much in advance of their trip as they wish, to maximize their chances of getting matched, as well as provides them with options to cancel matched rides, should their plans change.
Title: Precision Agriculture leveraging IoT and Curated Satellite Data AnalyticsJagabondhu Hazra and Pankaj Dayama, IBM Research
Over 50% of India’s workforce depend upon agriculture (and allied sectors) for their livelihood. The Indian government has set a goal of doubling farmers’ income in five years. Increasing agricultural productivity is key to raising GDP growth in India, as well as lifting millions of people out of poverty. While land & social reforms and government programs play a huge role, digitization, mobile and cognitive technologies have the opportunity to play a pivotal role to enable this future. Farm productivity is a function of taking the inputs (land, seeds, fertilizer, water, credit, insurance, mechanization & labor) to produce a high level and quality of the chosen crop. Interestingly this is as much a problem of lack of the right insights at the right time. Precision agronomic insights on how to combine these input factors, and minimize other risk factors (eg: pest, disease, severe crop loss due to weather) have the potential to significantly raise productivity. At IBM Research – India, we are combining multiple global satellite based information sources to compute agronomic insights at a fine-grained level (< 10 km, and in some cases sub-acre (30m x30 m) level). IBM Research’s PAIRS platform is used to ingest, curate and manage big data, and build analytical layers. We also enhance the quality of the data to overcome cloud-occlusion during the Indian monsoon seasons using machine learning techniques and fusing multiple information sources. These precision insights are then being delivered to low-end smartphones (costing ~$50) to the farmers and agronomists on the fields. Farmers can now tap the rich remote sensing data, and sophisticated output of cognitive analytics to get predictive insight on their farms at the right time to manage scarce groundwater-based irrigation, optimize the timing/amount of fertilizers & pesticides for the right part of their farm, and time their harvest to maximize produce, and minimize wastage. Our platform is scalable to the whole of India, and can provide this level of insights to millions of farmers. The picture above shows how we can zoom in from a national/state level view, all the way down to a farm-level (a few hectares) view of how vigorously the crop is growing at that location. In addition to bringing the power of remote sensed analytics to the fingertips of the farmer onto their mobile, we are fusing remote sensed with parsimonious locally sensed IoT data (eg: soil moisture sensors, local weather stations etc) to get even more precise insights. Watson IoT platform scalably collects and curates the data from multiple sensors. Given the economics of agriculture in India, we are driving for parsimonious local sensing to complement a scalable remote sensing strategy.
Speaker: Pranav Vishwanathan
Description: NetSim is a leading network simulation software for protocol modeling and simulation, network R&D and defence applications. It allows users to build the network, run & visualize the simulation, analyze results, interface with external software and to write their own protocols.
Speaker: Santosh Kumar
Description: We have a small wifi box which allows users to connect to it over WiFi (hotspot) and browse the list of movies, video songs, trailers on their browsers. Users dont need any internet connection, and the box too doesnt need internet. They can watch the videos at high speed streaming without any buffering.
Speaker: Arun Krishnan
Description: The demo will show how employees can give feedback through their mobile app and the analytics that can be used for enhancing managerial effectiveness.
Speaker: Swarna Kumar Vallabhaneni
Description: We shall show you the entire product on our laptops.
Speaker: Umar Shah
Description: The demo demaonstrates a test app where you can analyse the customer satisfaction ofr support emails.
Description: Enable 3D imaging using radar with high cross range resolution & range resolution. We also have developed allied radar signal processing software along with tool to calculate RCS of any generic object.
Speaker: Karthik Madhava
Description: The demo showcases how a retail customer used our solution to connect remote stores to a private data center to deliver applications like billing, inventory management and loyalty programs. It highlights the simplicity of our solution and how it is useful to a organized retailer.
Research Track Demos
- 6TiSCH Operation Sublayer (6top) implementation on Contiki OS
Lijo Thomas; Jerry Daniel J and Shalu R (CDAC Thiruvananthapuram, India); Anand S. V. R. and Malati Hegde (Indian Institute of Science, India)
- Bluetooth IoT Infrastructure Network with Immersive Experience
Mihit Gandhi; Himashri Kour; Deepaknath Tandur; Rahul Gore and Anitha Varghese (ABB Corporate Research Center, Bangalore, India)
- CommBox: Utilizing Sensors for Real-Time Cricket Shot Identification and Commentary Generation
Ashish Sharma; Jatin Arora; Pritam Khan; Sidhartha Satapathy; Sumit Agarwal; Satadal Sengupta; Sankarshan Mridha and Niloy Ganguly (IIT Kharagpur, India)
- FLEXCRAN: Cloud Radio Access Network Prototype using OpenAirInterface
S. Sandeep Kumar (IIT Hyderabad, India); Raymond Knopp (Institut Eurecom, France); Navid Nikaein (Eurecom, France); Debashisha Mishra (IIT Hyderabad, India); Bheemarjuna Reddy Tamma (IIT Hyderabad, India); Antony Franklin A (IIT Hyderabad, India); Kiran Kuchi (IIT Hyderabad, India); Rohit Gupta (Eurecom, France)
- Experimental Demonstration of Sparse Signal Recovery Based Channel Estimation in OFDM Systems
- Tightly Coupled LTE Wi-Fi Radio Access Networks: A Demo of LWIP
Thomas Valerrian Pasca S (IIT Hyderabad, India); Sumanta Patro (IIT Hyderabad, India); Bheemarjuna Reddy Tamma (IIT Hyderabad, India); Antony Franklin A (IIT Hyderabad, India)