Android App for AAROHAN Portal

With this technology we all like to keep ourself updated .In RMCET we all get involved in AAROHAN events in which various games and events are organised by student through a committee panel. Various committee are assigned for various events and games and they all manage the work related to there respective event. But many times the user do not get much proper information about those events. Sometimes it also happens that user don?t get the updates of the matches or events going around. So we are going to develop a android app that will provide or keep user updated with the livescores of all the matches going around. The app will be including scores all indoor and outdoor games of the matches or the events. For this we are proposing a application that will give the online score and live streaming of matches held on the ground and inside the college(indoor games). Proposed system will be using android development in MYSQL database from Eclipse Android tool. The app will focus on some functionality required to manage the live scores of the matches and to update the schedules.The app will provide the detailed information of current ongoing matches with the details like recent schedule of tournament, recent results of current match along with the total scores of the department separately

Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies

Collaborative uploading describes a type of crowdsourcing scenario in networked environments where a device utilizes multiple paths over neighboring devices to upload content to a centralized processing entity such as a cloud service. Intermediate devices may aggregate and preprocess this data stream. Such scenarios arise in the composition and aggregation of information, e.g., from smartphones or sensors. We use a queuing theoretic description of the collaborative uploading scenario, capturing the ability to split data into chunks that are then transmitted over multiple paths, and finally merged at the destination. We analyze replication and allocation strategies that control the mapping of data to paths and provide closed-form expressions that pinpoint the optimal strategy given a description of the paths' service distributions. Finally, we provide an online path-aware adaptation of the allocation strategy that uses statistical inference to sequentially minimize the expected waiting time for the uploaded data. Numerical results show the effectiveness of the adaptive approach compared to the proportional allocation and a variant of the join-the-shortest-queue allocation, especially for bursty path conditions.Comment: 15 pages, 11 figures, extended version of a conference paper accepted for publication in the Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), 201

Enabling crowdsourced live event coverage with adaptive collaborative upload strategies

User-generated content, such as short video snippets or tweets, is increasingly used in event coverage even by professional media outlets. Especially in unforeseen events, or when dealing with large crowds, these snippets provide unique perspectives on the scene. While uploading a tweet does not impose much load on the communication system, uploading live video at today's camera resolutions consumes a significant amount of resources. At the same time, only a fraction of the uploaded streams is suitable for event coverage (e.g., shakiness of the video, focus on the scene, obstructions). By identifying the set of relevant streams early, and postponing the upload of other content, the available network resources can be dedicated to the upload of the most relevant streams. In this paper, we propose a set of strategies to collaboratively upload the most relevant streams at high quality by utilizing freed resources. We argue that these strategies can be exchanged during runtime to adapt to user dynamics and network heterogeneity, and present initial findings on the performance of our system