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...

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,...

The current access policies and funding schemes of computing e-infrastructures represent a huge challenge for the sustainable growth of computing e-infrastructures and a serious jeopardy for investments made into these e-infrastructures. In order to be able to address these issues, the economics...

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...

Research into computing resource markets has mainly considered the question of which market mechanism provides a fair resource allocation. It has not been discussed how a large variety of resource types influences the liquidity of resources in the market. Markets containing large numbers of...

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...

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...