found: Work cat: Yalamanchili, M.V. Process computing migration in heterogeneous distributed computing systems, [1997]:p. 1 (The availability of inexpensive, but powerful workstations and personal computers, coupled with advancements in high-speed communication networks has resulted in the proliferation of distributed computing systems based on local area networks and high-speed wide area networks. Numerous workstations, sometimes connected to more powerful and architecturally special machines like supercomputers and massively parallel computers, form a distributed computing system with substantial cumulative computing power that has become commonplace in many work environments today. Due to the competition among computer manufacturers and the explosive growth of computer applications, the individual computers in such distributed systems turn out to be quite different from one another, perhaps mostly due to the reason that one particular type of machine suits the needs of its owner or those of the applications run on it more than the other types, leading to heterogeneous distributed systems)
found: Journal of parallel and distributed computing, Apr. 2008:p. 399 (A distributed computing system, or DCS, is a group of processors connected via a high speed network that supports the execution of parallel applications. The efficiency of executing parallel applications on DCSs critically depends on the method used to schedule the tasks of the parallel application onto the available processors. In DCSs, interprocessor communication is an unavoidable overhead of the execution of parallel programs. This overhead occurs when tasks allocated to different processors exchange data. The creation of high quality task schedules becomes more critical when the parallel application is executed on DCSs with heterogeneous processors, or HeDCSs (heterogeneous distributed computing systems))
found: ICSECS (Conference) (2nd : 2011 : Kuantan, Pahang, Malaysia). Software engineering and computer systems, [2011]:pt. 2, p. 235 (A distributed heterogeneous computing system is a collection of autonomous dissimilar computing machines that are linked by a network and are coordinated with software functioning as a single powerful computing facility. Heterogeneous system[s] can provide low cost and high performance computing whenever computational applications can be broken into tasks that can be distributed [to] the various machines for parallel execution. A distributed heterogeneous computing system has [more] potential advantages than the homogeneous system because some tasks run faster on one type of machine while other types of tasks may run faster on [a] different machine)
found: Mathematical and computer modeling, Dec. 2002:p. 1084 (We have proposed the problem of minimizing the probability of load imbalance in heterogeneous distributed computer systems. We developed a method to distribute load among heterogeneous nodes with different computing power in such a way that the probability of load imbalance in the entire heterogeneous distributed computer system is minimized)
found: Journal of parallel and distributed computing, Sept. 2010:p. 941 (With the advent of new high-speed networks, it is now possible to connect a collection of distributed, cost-effective, and possibly heterogeneous resources together in the form of a computational environment. Heterogeneous distributed computational (HDC) systems are usually composed of diverse sets of resources with different capabilities interconnected with arbitrary network architectures to meet the requirements of widely varying applications)
found: International Conference on Computational Fluid Dynamics (3rd : 2004 : Toronto, Ont.). Computational fluid dynamics 2004, [2006]:p. 252 (Grid computing is based on the concept that one can gain significant increases in computational throughput by accessing any number of computers at remote sites. One example is NASA's Information Power Grid (IPG), which consists of distributed heterogeneous computer systems at different NASA and supercomputer centers in the United States)
found: Google search, Feb. 17, 2016("Heterogeneous distributed computing systems" -- 31,600 hits; "Distributed heterogeneous computing systems" -- 9,320 hits; "Heterogeneous distributed computer systems" -- 8,920 hits; "Distributed heterogeneous computer systems" -- 5,940 hits; "Heterogeneous distributed computational systems" -- 5 hits)
