This paper applies the theory of social networks to P2P systems, creating a social-network-based P2P network topology formation algorithm for file sharing. The algorithm extends the Gnutella P2P file sharing technology, which uses super nodes for searching and for relaying shared files between...

Grid computing evolves toward an open computing environment, which is characterized by highly diversified resource providers and systems. As the control of each computing resource becomes difficult, the security of users¡¯ job is often threatened by various risks occurred at individual...

In the Grid Computing environment, many users need the results of their calculations within a specific period of time. Those users are willing to pay for getting their work completed on time. However, this requirement must be agreed on in a Service Level Agreement (SLA) by both, the user and the...

Due to the few computing resource planning options currently available in Grid computing, capacity planning, an old discipline for analyzing resource purchases, is simple to perform. However, once a commercial computing Grid is established, which provides many different resource types at...

This paper presents the design and implementation of the GridEcon Marketplace. In addition to supporting a market mechanism for trading computing resources on a pay-per-use basis, this marketplace also provides an environment for integrating value-added support services. These value-added...

This chapter describes the error recovery mechanisms in the system handling the Grid-based workflow within the Service Level Agreement (SLA) context. It classifies the errors into two main categories. The first is the large-scale errors when one or several Grid sites are detached from the Grid...

Within this paper, we present the GridEcon Platform, a testbed for designing and evaluating economics-aware services in a commercial Cloud computing setting. The Platform is based on the idea that the exact working of such services is difficult to predict in the context of a market and,...

Cloud computing markets face challenges, such as a large variety of different resource types in the market. A large variety of resource types results in a low number of matches of ask and bids. Consequently, the market has a low liquidity, which is economically inefficient and can lead to market...

Due to the large variety in computing resources and, consequently, the large number of different types of service level agreements (SLAs), computing resource markets face the problem of a low market liquidity. Restricting the number of different resource types to a small set of standardized...

Cloud computing faces two business-related issues. First, the management of clouds requires not only technical skills but also the understanding of the business side of these systems. Traditional distributed systems research did not require this understanding, simply assuming that all components...