Academic Articles & Research Papers

Abstract Communication Model for Distributed Systems

In some distributed and mobile communication models, a message disappears in one place and miraculously appears in another. In reality, of course, there are no miracles. A message goes from one network to another; it can be lost or corrupte...

CrystalBall: predicting and preventing inconsistencies in deployed distributed systems

We propose a new approach for developing and deploying distributed systems, in which nodes predict distributed consequences of their actions, and use this information to detect and avoid errors. Each node continuously runs a state explorati...

On the way to a distributed systems calculus

Network calculus is a min-plus system theory which facilitates the efficient derivation of performance bounds for networks of queues. It has successfully been applied to provide end-to-end quality of service guarantees for integrated and di...

Modelling distributed systems

Distributed systems are multi-processor information processing systems which do not rely on the central shared memory for communication. The importance of distributed systems has been growing with the advent of "computer...

Greybox Fuzzing of Distributed Systems

Grey-box fuzzing is the lightweight approach of choice for finding bugs in sequential programs. It provides a balance between efficiency and effectiveness by conducting a biased random search over the domain of program inputs using a feedba...

Exploiting an event-based infrastructure to develop complex distributed systems

The development of complex distributed systems demands for the creation of suitable architectural styles (or paradigms) and related run-time infrastructures. An emerging style that is receiving increasing attention is based on the notion of...

Distributed Systems

The origins of big data technologies come from database systems and distributed systems as well as data mining and machine learning algorithms that can process these vast amounts of data to extract the necessary knowledge. This chapter addr...

An organizing principle for cerebral function : the unit module and the distributed system

Distributed Systems

When we connect several computers in a network to jointly process large amounts of data, such a computing system is commonly referred to as a “distributed system”. From a technical standpoint the key difference between a distributed system ...

Distributed Systems

We now delve into one final major theme of our text: distribution. In this part of the book, we will explore some of the underlying tech-nology in one of the most important aspect of modern systems: how to build distributed systems. Distrib...

Distributed systems

Nearly all large software systems are necessarily distributed. For example, enterprise-wide business systems must support multiple users running common applications across different sites. A distributed system encompasses these applications...

Scheduling Divisible Loads in Parallel and Distributed Systems

From the Publisher: This book provides an in-depth study concerning a class of problems in the general area of load sharing and balancing in parallel and distributed systems. The authors present the design and analysis of load distribution...

An Organizational View of Distributed Systems

On distributed systems performance

On the controllability of distributed systems

To "control" a system is to make it behave (hopefully) according to our "wishes," in a way compatible with safety and ethics, at the least possible cost. The systems considered here are distributed-i.e., governed (modeled) by partial differ...

Distributed Systems

Multiple processor systems may be divided into two general categories: parallel processors (multiprocessors) and distributed systems (multicomputers). The distributed simulations, that is, simulations implemented over distributed systems. P...

Distributed Systems: Software Design and Implementation

Developing a Self-Reflection Tool to Assess Schools’ Openness

In 2015, the EU Educational Policy document “Science Education for Responsible Citizenship” introduced the concept of Open Schooling as a promising approach to transform schools into innovation hubs within their local communities. In an ope...

A Behavioral SIQR-B Model for Cholera Transmission: Impact of Adaptive Risk Perception on Disease Dynamics

Background/Objectives: Cholera remains a major public health problem, particularly in regions with limited access to safe drinking water and sanitation. Traditional compartmental models may underrepresent adaptive human behavioral responses...

Failure detectors for large-scale distributed systems

This paper discusses the problem of implementing a scalable failure detection service for grid systems. More specifically, traditional implementations of failure detectors are often tuned for running over local networks and fail to address ...