Title
GroupAware Stream Filtering: Towards Collaborative Data Reduction in Stream Processing Systems,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
In this dissertation, we (the author and her research collaborators) consider a distributed system that disseminates highvolume event streams to many simultaneous monitoring applications over a lowbandwidth network. For bandwidth efficiency, we propose a groupaware stream filtering'' approach, used together with multicasting, that exploits two overlooked, yet important, properties of monitoring applications: 1) many of them can tolerate some degree of slack'' in their data quality requirements, and 2) there may exist multiple subsets of the source data satisfying the quality needs of an application. We can thus choose the best alternative'' subset for each application to maximize the data overlap within the group to best benefit from multicasting. Here we provide a general framework for the groupaware stream filtering problem, which we prove is NPhard. We introduce a suite of heuristicsbased algorithms that ensure data quality (specifically, granularity and timeliness) while preserving bandwidth. Our evaluation shows that groupaware stream filtering is effective in trading CPU time for bandwidth savings, compared with selfinterested filtering.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.