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It is now critical to reduce the consumption of natural resources, especially petroleum to resolve air pollutions. Even in information systems, we have to reduce the total electrical power consumption. A cloud computing system is composed of a huge number of server computers like google file systems. There are many discussions on how to reduce the total power consumption of servers, e. g. by turning...
While the cloud computing paradigm is progressively being adopted by companies aiming to deliver large-scale distributed services, such as Amazon, IBM, Google or Yahoo!, the service level provided for data storage remains rather basic. This talk will discuss several issues related to building advanced facilities for data sharing on cloud infrastructures. We will discuss how open issues raised by the...
One of the most important management aspects in Grid systems is task scheduling. This component should try to achieve two main objectives: efficient use of available resources and high performance in solving tasks given by members of virtual organizations. The scheduling problem is one of the hardest problems and it is proved that it is an NP-Complete problem. In order to have good performances heuristic...
Failure detection is a fundamental building block for ensuring fault tolerance in large scale distributed systems. In this paper we present an innovative solution to this problem. The approach is based on adaptive, decentralized failure detectors, capable of working asynchronous and independent on the application flow. The proposed failure detectors are based on clustering, the use of a gossip-based...
In distributed peer-to-peer (P2P) applications, a group of multiple peer processes (peers) are required to cooperate with each other. Messages sent by peers have to be causally delivered. In this paper, we discuss a scalable group communication protocol for a group of multiple peers in P2P overlay networks. Due to the message overhead O(n) for the number n of peers, the vector clock cannot be used...
Nowadays more and more information systems are being shifted to distributed architectures because of the benefits like scalability, autonomy, and faulty-tolerance implied from the essence of this distributed systems. Here, every process is peer and cooperates with other peers to achieve some objectives. Here, peers have to efficiently and flexibly make an agreement on one value which satisfies an...
Component's QoS constraints cannot be ignored when composing them to build reliable loosely-coupled, distributed systems. Therefore they should be explicitly taken into account in any formal model for component-based development. Such is the purpose of this paper: to extend a calculus of component composition to deal, in an effective way, with QoS constraints. Particular emphasis is put on how the...
Distributed systems have been developing rapidly in the past few years and their automatic control is a real challenge being a very active research field. In order to assure the load balancing and to optimize the resource utilization, a distributed system is using different software components, such as management tools, schedulers or monitoring tools. Considering the prediction of future behavior...
Introspection is the prerequisite of an autonomic behavior, the first step towards a performance improvement and a resource-usage optimization for large-scale distributed systems. In grid environments, the task of observing the application behavior is assigned to monitoring systems. However, most of them are designed to provide general resource information and do not consider specific information...
For constantly changing businesses, it is essential that the underlying software architecture is capable of managing agile business processes and meeting future business needs. Decoupling between applications and services in distributed systems is addressed by e. g., service-oriented architectures. On the other hand, applications and its underlying middleware are still tightly coupled with respect...
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