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Analyzing behavioral patterns of workloads is critical to understanding Cloud computing environments. However, until now only a limited number of real-world Cloud datacenter tracelogs have been available for analysis. This has led to a lack of methodologies to capture the diversity of patterns that exist in such datasets. This paper presents the first(More)
Fault tolerance is an important property in Grid computing as the dependability of individual Grid resources may not be able to be guaranteed; also as resources are used outside of organizational boundaries, it becomes increasingly difficult to guarantee that a resource being used is not malicious in some way. As part of the e-Demand project at the(More)
—Cloud computing research is in great need of statistical parameters derived from the analysis of real-world systems. One aspect of this is the failure characteristics of Cloud environments composed of workloads and servers; currently, few metrics are available that quantify failure and repair times of workloads and servers at a large-scale. Workload(More)
Cloud computing presents exciting opportunities to foster research for scientific communities; virtual machine technology has a profound role in this. Among other benefits, virtual machine technology enables Clouds to offer large scale and flexible computing infrastructures that are available on demand to address the diverse requirements of scientific(More)
Service-orientation is a highly useful means of developing flexible, agile, and dependable software systems, and is a paradigm that has been increasingly adopted into Grid Computing middleware. However, service-orientation brings with it new challenges in the fields of dependability and security that need to be addressed by the High Assurance Systems(More)
The FT-Grid system introduces a multi-version design-based fault tolerance framework that allows faults occurring in service-based systems to be tolerated, thus increasing the dependability of such systems. This paper details the progress that has been made in the development of FT-Grid, including both a GUI client and also a web service interface. We show(More)
The potential size and complexity of service-based applications suggests that many such applications will be very prone to errors and failures. The e-Demand project at the University of Leeds proposes a replication-based fault tolerance scheme that allows voting to be performed on results of functionally-equivalent services, with the aim of detecting any(More)