Distributed Systems

2014

The Doctoral Workshop on Distributed Systems has been held at Kandersteg, Switzerland, from June 3-5, 2014. Ph.D. students from the Universities of Neuchâtel and Bern as well as the University of Applied Sciences of Fribourg presented their current research work and discussed recent research results. This technical report includes the extended abstracts of the talks given during the workshop.

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2011

Distributed computing systems have become a pivotal aspect of modern technology, enabling complex computations and tasks across various industries, including telecommunications, scientific research, and financial services. These systems provide scalability, fault tolerance, and resource sharing across multiple nodes, allowing for efficient handling of vast datasets. This paper discusses the characteristics, architectural styles, and middleware solutions that support distributed computing, with a focus on fault tolerance mechanisms and distributed consensus algorithms such as Paxos and Raft. Additionally, it compares notable frameworks like Apache Spark and Ray, which serve distinct roles in managing data processing and realtime computational tasks, respectively. The discussion highlights the importance of fault tolerance and resilience in ensuring the continuous operation of distributed systems in diverse applications.

IJSRD, 2014

In this era, we are living in the world where a large percentage of population is dependent on the internet or World Wide Web. Distributed system is a collection of computer that act or work and appear as one large computer. A number of distributed computing projects are present on the internet that works on complex problems by sharing the processing power. Distributed system is one in which components located at networked computers communicate and co-ordinate their actions only by passing messages.

Lecture Notes in Computer Science, 2006

Parallel computing is strongly influenced by the challenges of distributed systems, such as a need for a Single System Image, resource sharing and allocation, failures and a need for fault tolerance, long latencies, network partition, disconnected operation, demands of users wishing to solve more computationally and communication demanding problems, and opportunities created by grids and Web services. Distributed computing is the computing mainstream now; it is based on different forms of distributed systems: clusters, grids, peer-to-peer systems, web services, service oriented architectures. This topic provides a forum for research and practice, of interest to both academia and industry, about distributed computing and distributed algorithms. Submissions were encouraged in all areas of distributed systems and algorithms relevant to parallel computing, with emphasis on design and practice of distributed algorithms, analysis of the behaviour of distributed systems and algorithms, distributed fault-tolerance, distributed operating systems and databases, scalability, concurrency and performance in distributed systems, resource sharing and load balancing in distributed systems, distributed algorithms in telecommunications, distributed mobile computing, resource and service discovery, security in distributed systems, and standards and middleware for the distribution of parallel computations. Twenty papers were submitted in this topic. The subjects were varied, but a common theme of many of them is recovery, resource allocation, mutual exclusion, garbage collection and coordination. Other themes include load balancing, scheduling and consensus algorithms. Eight papers have been accepted.

Distributed computer systems have been the subject of a vast amount of research. Many prototype distributed computer systems have been built at university, industrial, commercial, and government research laboratories, and production systems of all sizes and types have proliferated. It is impossible to survey all distributed computing system research. Instead, this paper identifies six fundamental distributed computer system research issues, points out open research problems in these areas, and describes how these six issues and solutions to problems associated with them transect the communications subnet, the distributed operating system, and the distributed database areas. It is intended that this perspective on distributed computer system research serve as a form of survey, but more importantly to illustrate and encourage a better integration and exchange of ideas from various subareas of distributed computer system research.

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY

The World Wide Web is used by millions of people everyday for various purposes including email, reading news, downloading music, online shopping or simply accessing information about anything. Using a standard web browser, the user can access information stored on Web servers situated anywhere on the globe. This gives the illusion that all this information is situated locally on the user’s computer. In reality, the Web represents a huge distributed system that appears as a single resource to the user available at the click of a button. This paper gives an overview of distributed systems in current IT sector. Distributed systems are everywhere. The internet enable users throughout the world to access its services wherever they may be located [1]. Each organization manages an intranet, which provides local services for local users and generally provides services to other users in the internet. Small distributed systems can be constructed from mobile computers and other small computa...