By Topic

Designing next generation data-centers with advanced communication protocols and systems services

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Balaji, P. ; Dept. of Comput. Sci. & Eng., The Ohio State Univ., Columbus, OH, USA ; Vaidyanathan, K. ; Narravula, S. ; Jin, H.W.
more authors

Current data-centers rely on TCP/IP over fast- and gigabit-Ethernet for data communication even within the cluster environment for cost-effective designs, thus limiting their maximum capacity. Together with raw performance, such data-centers also lack in efficient support for intelligent services, such as requirements for caching documents, managing limited physical resources, load-balancing, controlling overload scenarios, and prioritization and QoS mechanisms, that are becoming a common requirement today. On the other hand, the system area network (SAN) technology is making rapid advances during the recent years. Besides high performance, these modern interconnects are providing a range of novel features and their support in hardware (e.g., RDMA, atomic operations, QoS support). In this paper, we address the capabilities of these current generation SAN technologies in addressing the limitations of existing data-centers. Specifically, we present a novel framework comprising of three layers (communication protocol support, data-center service primitives and advanced data-center services) that work together to tackle the issues associated with existing data-centers. We also present preliminary results in the various aspects of the framework, which demonstrate close to an order of magnitude performance benefits achievable by our framework as compared to existing data-centers in several cases.

Published in:

Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International

Date of Conference:

25-29 April 2006