Distributed Cluster Computing Environments
نویسنده
چکیده
This report aims to catalogue and briefly describe Distributed Cluster Computing Environments (DCCE) as well as newly established Cluster Management Software (CMS) projects. The document started out as part of a review commissioned by the UK government on Cluster Computing [1], and followed two other reports: a historic review of Cluster Computing produced by the Manchester Computing Centre [2], and a critical review of Cluster Computing projects funded by the NTSC [3] and produced by the University of Southampton.
منابع مشابه
Adaptive Dynamic Data Placement Algorithm for Hadoop in Heterogeneous Environments
Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous Hadoop cluster assume that each node in a cluster has the same computing capacity and a same workload is assigned to each node. Default Hadoop d...
متن کاملAffordable Supercomputing Solutions: Cluster Computers: In Business Applications
Businesses need fast computing environments to quickly process the voluminous transactions and to respond to market requirements. Most companies cannot afford the cost of a supercomputer. As an experimental design, the authors have developed a cluster-computing project at their institution, to expose business students to the process of building and operating a cluster computer for use in superc...
متن کاملEntropy-based Consensus for Distributed Data Clustering
The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کامل