Maciej Malawski

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Maciej Malawski

Foundations for Workflow Application Scheduling on D-Wave System

Many scientific processes and applications can be represented in the standardized form of workflows.

Storage-Aware Algorithms for Scheduling of Workflow Ensembles in Clouds

This paper focuses on data-intensive workflows and addresses the problem of scheduling workflow ensembles under cost and deadline constraints in Infrastructure as a Service (IaaS) clouds.

Challenges and Opportunities of Using Virtual Patients in xMOOCs

xMOOCs, a type of massive open on-line courses, are characterized by impressive enrollment rates and instructional design based on short video clips and self-assessment quizzes.

Cost Optimization of Execution of Multi-Level Deadline-Constrained Scientific Workflows on Clouds

This paper introduces a cost optimization model for scientific workflows on IaaS clouds such as Amazon EC2 or RackSpace.

Secure Storage and Processing of Confidential Data on Public Clouds

The goal of this paper is to describe problems associated with storage and processing of confidential data in public clouds, and to propose relevant mitigation strategies.

Cost Minimization for Computational Applications on Hybrid Cloud Infrastructures

We address the problem of task planning on multiple clouds formulated as a mixed integer nonlinear programming problem (MINLP).

Evaluation of Cloud Providers for VPH Applications

Infrastructure as a Service (IaaS) clouds are considered interesting sources of computing and storage resources for scientific applications.

Hosted Science: Managing Computational Workflows in the Cloud

Scientists today are exploring the use of new tools and computing platforms to do their science.

Introducing PRECIP: An API for Managing Repeatable Experiments in the Cloud

Cloud computing with its on-demand access to resources has emerged as a tool used by researchers from a wide range of domains to run computer-based experiments.

Component-Based Approach for Programming and Running Scientific Applications on Grids and Clouds

This paper presents an approach to programming and running scientific applications on grid and cloud infrastructures based on two principles: the first one is to follow a component-based programming model, the second is to apply a flexible technology which allows for virtualization of the underlying infrastructure.

Computations of Protein Hydrophobicity Profile as Virtual Experiment in Gridspace Virtual Laboratory

ABSTRACT The terms like e-science, e-poster or e-health are nowadays commonly used.

Constructing Workflows from Script Applications

For programming and executing complex applications on grid infrastructures, scientific workflows have been proposed as convenient high-level alternative to solutions based on general-purpose programming languages, APIs and scripts.

Cost- and Deadline-Constrained Provisioning for Scientific Workflow Ensembles in IaaS Clouds

Large-scale applications expressed as scientific workflows are often grouped into ensembles of inter-related workflows.

Flexible and Extendable Mechanism Enabling Secure Access to E-Infrastructures and Storage of Confidential Data for the GridSpace2 Virtual Laboratory

This paper describes the security framework used by the GridSpace2 platform.

Managing Entire Lifecycles of E-Science Applications in the GridSpace2 Virtual Laboratory – From Motivation through Idea to Operable Web-Accessible Environment Built on Top of PL-Grid e-Infrastructure

The GridSpace2 environment, developed in the scope of the PL-Grid Polish National Grid Initiative, constitutes a comprehensive platform which supports e-science applications throughout their entire lifecycle.