[Sdn] Call for Book Chapter Proposal for (Big-Data and Software Define Networks)
"Javid Taheri" <javid.taheri@kau.se> Sun, 26 June 2016 14:31 UTC
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From: Javid Taheri <javid.taheri@kau.se>
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Date: Sun, 26 Jun 2016 16:31:39 +0200
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Subject: [Sdn] Call for Book Chapter Proposal for (Big-Data and Software Define Networks)
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Call for Book Chapters Book Title Big-Data and Software Defined Networks Book Editors Associate Professor Javid Taheri, Karlstad University, Sweden Book Series and Publisher The book is one of the 12 to be written/edited for "IET Book Series on Big Data" (Editor in Chief Prof. Albert Y. Zomaya). Theme The increase of processing power is undoubtedly among the most prominent technological achievements of the 21st century. Being able to process data on higher rates has opened many doors for both the scientific and industrial communities to explore new areas. Big-Data and SDN (Software Defined Networks) are among the methods and technologies that have directly contributed to such extraordinary achievements. Big-Data and SDN started for different reasons, and consequently advanced science and industry from different angles. Their collision is however imminent since both face ever growing Cloud Data Centres (CDCs). Big-Data Analytics has entered CDCs to harvest their massive computing powers and deduct information that was never reachable by conventional methods. SDN entered this field to help CDCs run their services more efficiently. This book aims to investigate areas where Big-Data and SDN could help each other in delivering more efficient services. SDN can help Big-Data applications to overcome one of their major challenges: message passing among cooperative nodes. Through proper bandwidth allocation and prioritization, critical surges of Big-Data flows can be better handled to effectively reduce their impacts on CDCs. Big-Data could also help SDN controller to better analyse its collected network information and make more efficient decisions about the allocation of resources to different network flows. This book is sectioned into three parts: * The first part (Introduction) serves as an introductory section, providing crucial information about Big-Data and SDN as well as their current state-of-the-art advancements and architectures. It also highlights general open issues in these vibrant fields. * The second part (How SDN Helps Big-Data) is focused on several ways that SDN helps Big-Data applications run more efficiently. This section is further split into several chapters, each focusing on how SDN helps a specific "V" in the Big-Data terminology. * The third section (How Big-Data Helps SDN) is focused on several Big-Data Analytics that help SDN make better resource allocation decisions. Chapters in this section reveal current approaches in which large amount of collected network data are process to run smoother networks in large CDCs. Chapters Part I (Introduction), * Chapter 1. Introduction to SDN * Chapter 2. SDN Components and OpenFlow * Chapter 3. SDN for Cloud Data Centres (allocated to Dimitrios P. Pezaros et al. from University of Glasgow, UK) * Chapter 4. Introduction to Big-Data (allocated to Amir H. Payberah et al. from Swedish ICT (SICS), Sweden) * Chapter 5. Big-Data Processing and Apache Spark and/or Hadoop * Chapter 6. Big-Data in Cloud Data Centres Part II (How SDN Helps Big-Data) * Chapter 7. SDN helps Volume in Big-Data * Chapter 8. SDN helps Velocity in Big-Data * Chapter 9. SDN helps Value in Big-Data * Chapter 10. SDN helps other Vs in Big-Data Part III (How Big-Data Helps SDN) * Chapter 11. Big-Data helps SDN to optimize routing tables * Chapter 12. Big-Data helps SDN to become fault tolerant * Chapter 13. Big-Data helps SDN to detect intrusions and secure data flows * Chapter 14. Big-Data helps SDN to improve application specific quality of service * Chapter 15. Big-Data helps SDN to detect traffic patterns * Chapter 16. Big-Data helps SDN to verify integrity of control/data planes * Chapter 17. Big-Data help SDN to scale * Chapter 18. Big-Data helps SDN to load balance links Conclusion/Wrap up from the Book Editor (Javid Taheri) Other Recommended Topics Authors can also propose new chapters should they could connect it to both Big-Data Analytics and SDN. Review process Authors will submit 1-2 page chapter proposal by sending email to the main editor (Javid Taheri <javid.taheri@kau.se <mailto:javid.taheri@kau.se> >). The editors will review the chapter proposal and invite selected authors to submit a full version of their proposed book chapter. The book is expected to have * a total number of 400-450 printed pages (based on approximately 550 words per page with a 20% allowance for figures and tables), and * at least 18 invited chapters (20-25 pages each). Important Dates Action Date Status Invite authors to contribute 30-Jun-2016 In Progress Finalize the list of authors and allocate chapters 30-Jul-2016 Send out chapter templates 31-Aug-2016 Collect chapters 28-Feb-2017 Feedback Authors 31-Mar-2017 Finalize all chapters 30-Apr-2017 Send chapters to IET 31-May-2017 Publish by IET 1-Sep-2017 Submission and Format To submit your proposal, send an email to the main editor (Javid Taheri) and submit you chapter proposal (maximum two-pages, A4, normal spacing, 12pt) containing * title of your chapter (selected from the list or newly proposed), * a short description about the content you are going to write about, * table of content for you chapter, * a short bio from yourself (150 words), and * your full affiliation. You can use this template <https://sites.google.com/site/bigdatasdn/Chapter-Proposal-Template.docx?att redirects=0&d=1> . Contact For further questions please contact the main editor Javid Taheri <javid.taheri@kau.se <mailto:javid.taheri@kau.se> >.
- [Sdn] Call for Book Chapter Proposal for (Big-Dat… Javid Taheri