Description: Stream Data Processing: A Quality of Service Perspective by Sharma Chakravarthy, Qingchun Jiang Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description In recent years, a new class of applications has come to the forefront { p- marily due to the advancement in our ability to collect data from multitudes of devices, and process them e ciently. These - plications need to process data continuously (and as long as data is available) from one or more sources. Publisher Description Traditional database management systems, widely used today, are not well-suited for a class of emerging applications, such as computer network management, homeland security, sensor computing, and environmental monitoring. These applications need to continuously process large amounts of data coming in the form of a stream, and meet stringent response time requirements. Support for handling QoS metrics, such as response time, memory usage, and throughput, is central to any system proposed for the above applications. Stream Data Processing: A Quality of Service Perspective (Modeling, Scheduling, Load Shedding, and Complex Event Processing), presents a new paradigm suitable for stream and complex event processing. This book covers a broad range of topics in stream data processing and includes detailed technical discussions of a number of proposed techniques. This volume is intended as a textbook for graduate courses and as a reference book for researchers, advanced-level students in CS, and IT practitioners. Details ISBN 0387710027 ISBN-13 9780387710020 Title Stream Data Processing: A Quality of Service Perspective Author Sharma Chakravarthy, Qingchun Jiang Format Hardcover Year 2009 Pages 324 Edition 2009th Publisher Springer-Verlag New York Inc. GE_Item_ID:17556551; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 197 USD
Location: Fairfield, Ohio
End Time: 2025-01-12T03:48:10.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9780387710020
Book Title: Stream Data Processing: A Quality of Service Perspective
Number of Pages: Xxvi, 324 Pages
Language: English
Publication Name: Stream Data Processing : A Quality of Service Perspective - Modeling, Scheduling, Load Shedding, and Complex Event Processing
Publisher: Springer
Publication Year: 2009
Subject: Information Theory, System Administration / Storage & Retrieval, Data Processing, Databases / General
Item Weight: 22.9 Oz
Type: Textbook
Author: Qingchun Jiang, Sharma Chakravarthy
Subject Area: Computers
Item Length: 9.3 in
Series: Advances in Database Systems Ser.
Item Width: 6.1 in
Format: Hardcover