Dynamic Broadcasting in Parallel Computing
نویسندگان
چکیده
We consider the problem where broadcast requests are generated at random time instants at each node of a multiprocessor network. In particular, in our model packets arrive at each node of a network according to a Poisson process, and each packet has to be broadcast to all the other nodes. We propose an on-line decentralized routing scheme to execute the broadcasts in this dynamic environment. A related, although static, communication task is the partial multinode broadcast task, where M < N arbitrary nodes of an N-processor network broadcast a packet to all the other nodes. The results that we obtain for the dynamic broadcasting scheme apply to any topology, regular or not, for which partial multinode broadcast algorithms with certain properties can be found. For the dynamic scheme we find an upper bound on the average delay required to serve a broadcast request, and we evaluate its stability region. As an application we give a near-optimal partial multinode broadcast algorithm for the hypercube network. The stability region of the corresponding hypercube dynamic scheme tends to the maximum possible as the number of nodes of the hypercube tends to infinity. Furthermore, for any fixed load in the stability region, the average delay is of the order of the diameter of the hypercube. 1 Research supported by NSF under Grant NSF-DDM-8903385 and by the ARO under Grant DAAL03-86K-0171. 2 Laboratory for Information and Decision Systems, M.I.T, Cambridge, Mass. 02139. 1
منابع مشابه
Green Energy-aware task scheduling using the DVFS technique in Cloud Computing
Nowdays, energy consumption as a critical issue in distributed computing systems with high performance has become so green computing tries to energy consumption, carbon footprint and CO2 emissions in high performance computing systems (HPCs) such as clusters, Grid and Cloud that a large number of parallel. Reducing energy consumption for high end computing can bring various benefits such as red...
متن کاملParallel computing using MPI and OpenMP on self-configured platform, UMZHPC.
Parallel computing is a topic of interest for a broad scientific community since it facilitates many time-consuming algorithms in different application domains.In this paper, we introduce a novel platform for parallel computing by using MPI and OpenMP programming languages based on set of networked PCs. UMZHPC is a free Linux-based parallel computing infrastructure that has been developed to cr...
متن کاملCloud Computing Technology Algorithms Capabilities in Managing and Processing Big Data in Business Organizations: MapReduce, Hadoop, Parallel Programming
The objective of this study is to verify the importance of the capabilities of cloud computing services in managing and analyzing big data in business organizations because the rapid development in the use of information technology in general and network technology in particular, has led to the trend of many organizations to make their applications available for use via electronic platforms hos...
متن کاملOptimization of Agricultural BMPs Using a Parallel Computing Based Multi-Objective Optimization Algorithm
Beneficial Management Practices (BMPs) are important measures for reducing agricultural non-point source (NPS) pollution. However, selection of BMPs for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. Due to its iterative nature, the optimization typically takes a long time to achieve the BMP trade-off results which is not desirable ...
متن کاملA context-sensitive dynamic role-based access control model for pervasive computing environments
Resources and services are accessible in pervasive computing environments from anywhere and at any time. Also, due to ever-changing nature of such environments, the identity of users is unknown. However, users must be able to access the required resources based on their contexts. These and other similar complexities necessitate dynamic and context-aware access control models for such environmen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Parallel Distrib. Syst.
دوره 6 شماره
صفحات -
تاریخ انتشار 1995