Master Thesis - ICS

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Computer Science Department Antonis Misargopoulos for resource allocation with the assumption of no data replication. Specifically, we introduce the QuPGC and HQuPaS algorithms for query plan graph construction and proper query plan selection, respectively. Finally, in chapter 8 we present some experiments and measurements for a given initial query and different characteristics of the Grid resources. Chapter 10 concludes the thesis and presents some ideas for extension of this work. 4
Computer Science Department Antonis Misargopoulos Chapter 2. The Grid: A High-Performance Computational Architecture The accelerated development in peer-to-peer and Grid computing observed in the last few years, has positioned them as promising next generation computing platforms. They enable the creation of virtual enterprises for sharing resources distributed across the world. However, resource management, application development and usage models in these environments is a complex undertaking. This is due to the geographic distribution of resources that are owned by different organizations or peers. The resource owners of each of these resources may have different usage or access policies and cost models, and varying loads and availability. 2.1 What is a Grid? The term “Grid” was introduced in the mid 1990s to denote a proposed distributed computing infrastructure for advanced science and engineering. Considerable progress has since been made on the construction of such an infrastructure, but the “Grid” has also been conflated, at least in popular perception, to embrace everything from advanced networking to artificial intelligence. Back in 1998, Ian Foster and Carl Kesselman attempted a definition in the book “The Grid: Blueprint for a New Computing Infrastructure.”, as: “A computational Grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities.” Additionally in the subsequent article “The Anatomy of the Grid”, authored by Ian Foster and Steve Tuecke in 2000, the definition was refined to address social and policy issues, stating that Grid computing is concerned with “coordinated resource sharing and problem solving in dynamic, multi-institutional virtual organizations.” The key concept is the ability to negotiate resource-sharing arrangements among a set of participating parties; providers and consumers, and then to use the resulting resource pool for some purpose. There was noted: “The sharing that we are concerned with is not primarily file exchange but rather direct access to computers, software, data, and other resources, as is required by a range of collaborative problem solving and resource-brokering strategies 5
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Master Thesis - ICS

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