Storage Experts to Discuss Challenges and Solutions for High-Throughput Sequencing and Next-Generation Cloud Storage Initiatives

DataDirect Networks (DDN) today announced its participation in the world's premier conference for sequencing data storage and analysis -- the Cambridge Healthtech Institute's XGen Conference, held on March 15-19 in San Diego.

Around the world, next-generation gene sequencing and analysis methods have introduced substantial data management challenges into the life sciences research center. DDN solutions answer this challenge by providing unrivaled levels of storage performance, archive capacity, energy efficiency and data protection. These challenges and solutions will be discussed by DDN at the XGen Conference. DDN is an established leader in scalable life sciences data storage solutions -- having delivered to dozens of the world's leading genomics, pharmaceutical and biotechnical research environments. More information on DDN solutions for life sciences can be found at www.ddn.com/lifesciences.

The company will participate in two key storage sessions at the conference:

Vice President of Marketing Jeff Denworth will speak on March 16 at 7:30 AM, to deliver a talk titled: "Solutions for High-throughput Sequencing, Mass Spectrometry, and Genomic Archives"

On March 17 at 8:15 AM Chris Williams, DDN product manager for cloud storage solutions, will host a roundtable titled: "Solving Performance and Availability with Content Scale-Out"

Single-Source Reference for Market-Oriented Grid and Utility Computing

Divided into four main parts and with contributions from a panel of experts in the field it systematically and carefully explores:

• Foundations presents the fundamental concepts of market-oriented computing and the issues and challenges in allocating resources in a decentralized computing environment.
• Business models covers business models for service providers and brokers supporting different types of distributed applications, as well as business rules-based models for managing virtual organizations and accounting operations and services in grid computing environments.
• Policies and agreements introduces policies, agreements, and specifications for the negotiation and establishment of contracts between providers and consumers. It also covers different approaches for resource allocation based on service-level agreements (SLAs) and management of risks associated with SLA violations.
• Resource allocation and scheduling mechanisms covers economic models, such as commodity models, reciprocation, auctions, and game theory, and middleware technologies, such as Nimrod/G and Gridbus, for market-oriented grid computing and utility-oriented resource allocation.

This book expertly captures the state of the art in the field while also identifying potential research directions and technologies that will facilitate the creation of global commercial grid and utility computing systems. It is an indispensable reference for systems architects, practitioners, developers, new researchers, and graduate students.

This book presents the first coordinated and integrated single-source reference on market-oriented grid computing. The need for this book is supported by the increasing number of initiatives aiming to interconnect or globalize current grid systems. Researchers have built many research Grid infrastructures, mostly with support from funding agencies. As soon as the projects terminate and funding ends, there is general concern that the infrastructure and the results will not survive. The main reason for this is the lack of proven models for sustainability, including market strategies, grid economy, service level agreements and business models. These are the topics that are presented in this book by leading experts in these fields.

Key Topics Covered:

PART I FOUNDATIONS. 1 Market-Oriented Computing and Global Grids: An Introduction (Rajkumar Buyya and Srikumar Venugopal). 2 Markets, Mechanisms, Games, and Their Implications in Grids (Yibo Sun, Sameer Tilak, Ruppa K. Thulasiram, and Kenneth Chiu). 3 Ownership and Decentralization Issues in Resource Allocation Mechanisms (Tiberiu Stef-Praun). 4 Utility Functions, Prices, and Negotiation (John Wilkes). 5 Options and Commodity Markets for Computing Resources (Dan Cristian Marinescu, John Patrick Morrison, and Howard Jay Siegel).

PART II BUSINESS MODELS. 6 Grid Business Models, Evaluation, and Principles (Steve Taylor and Paul McKee). 7 Grid Business Models for Brokers Executing SLA-Based Workflows (Dang Minh Quan and Jorn Altman). 8 A Business-Rules-Based Model to Manage Virtual Organizations in Collaborative Grid Environments (Pilar Herrero, Jose Luis Bosque, and Maria S. Perez). 9 Accounting as a Requirement for Market-Oriented Grid Computing (Andrea Guarise and Rosario M. Piro).

PART III POLICIES AND AGREEMENTS. 10 Service-Level Agreements (SLAs) in the Grid Environment (Bastian Koller, Eduardo Oliveros, and Alfonso Sanchez-Macian). 11 SLAs, Negotiation, and Challenges (Paul McKee, Steve Taylor, Mike Surridge, and Richard Lowe). 12 SLA-Based Resource Management and Allocation (Jordi Guitart, Mario Macias, Omer Rana, Philipp Wieder, Ramin Yahyapour, and Wolfgang Ziegler). 13 Market-Based Resource Allocation for Differentiated Quality Service Levels (H. Howie Huang and Andrew S. Grimshaw). 14 Specification, Planning, and Execution of QoS-Aware Grid Workflows (Ivona Brandic, Sabri Pllana, and Siegfried Benkner). 15 Risk Management In Grids (Karim Djemame, James Padgett, Iain Gourlay, Kerstin Voss, and Odej Kao).

PART IV RESOURCE ALLOCATION AND SCHEDULING MECHANISMS. 16 A Reciprocation-Based Economy for Multiple Services in a Computational Grid (Nazareno Andrade, Francisco Brasileiro, Miranda Mowbray, and Walfredo Cirne). 17 The Nimrod/G Grid Resource Broker for Economics-Based Scheduling (Rajkumar Buyya and David Abramson). 18 Techniques for Providing Hard Quality-of-Service Guarantees in Job Scheduling (Pavan Balaji, Ponnuswamy Sadayappan, and Mohammad Islam). 19 Deadline Budget-Based Scheduling of Workflows on Utility Grids (Jia Yu, Kotagiri Ramamohanarao, and Rajkumar Buyya). 20 Game-Theoretic Scheduling of Grid Computations (Yu-Kwong Kwok). 21 Cooperative Game-Theory-Based Cost Optimization for Scientific Workflows (Radu Prodan and Rubing Duan). 22 Auction-Based Resource Allocation (Bjorn Schnizler). 23 Two Auction-Based Resource Allocation Environments: Design and Experience (Alvin AuYoung, Phil Buonadonna, Brent N. Chun, Chaki Ng, David C. Parkes, Jeff Shneidman, Alex C. Snoeren, and Amin Vahdat). 24 Trust in Grid Resource Auctions (Kris Bubendorfer, Ben Palmer, and Wayne Thomson). 25 Using Secure Auctions to Build a Distributed Metascheduler for the Grid (Kyle Chard and Kris Bubendorfer). 26 The Gridbus Middleware for Market-Oriented Computing (Rajkumar Buyya, Srikumar Venugopal, Rajiv Ranjan, and Chee Shin Yeo).

Author:

Dr. Rajkumar Buyya is an Associate Professor of Computer Science and Software Engineering and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. Dr. Buyya has contributed to the creation of high-performance computing and communication system software for Indian PARAM supercomputers and has pioneered the economic paradigm for service-oriented grid and cloud computing. He currently serves as the founding CEO of Manjrasoft, a company producing software systems for utility-oriented grid and cloud computing.

Dr. Kris Bubendorfer lectures in computer science at the Victoria University of Wellington, New Zealand. He teaches courses in networking, operating systems, algorithms, mobile systems, and advanced distributed systems.