Autonomous distributed scheduling is based on the autonomous decentralized optimization and recently focused as one of flexible scheduling techniques which can more cope with dynamically changing situation than traditional ones. This paper proposes an autonomous distributed scheduling scheme for the parallel machine scheduling problem. Through computer simulation, we observe that our proposed scheme can more quickly reduce the total deadline over-time than one in the literature and can adapt flexibly to unusual situation (addition of jobs).

In this paper, a new approach is proposed for solving a real scheduling problem in a metal mold assembly process. This process is of a job-shop type, and the problem is large-scale and has complicated constraints. In this problem precedence relations exist not only among operations but also among jobs. The system has several types of single function machines and a type of multi-function machine. Furthermore, the number of machines belonging to each type is not single but plural. Therefore the selection of machine is necessary for executing each operation. An autonomous decentralized scheduling method is applied to this problem. In this method, a number of decision makers called modules cooperate with one another in order to attain the goal of the overall system. They determine the scheduling plan on the basis of their cooperation and the satisfaction of their own objective function levels. Particularly, the practicability of this method is considered through numerical results.

Divisor-Skip Wavelength Division Multiplexing (DS-WDM) ring is an optical interconnection network for workstation clusters or parallel machines which can connect various number of nodes easily using wavelength division multiplexing techniques. However, the wavelength-ordered routing algorithm proposed for the DS-WDM ring requires complicated processes in each router. Here, a new routing algorithm called the comparing dimensional number routing algorithm for the DS-WDM ring is proposed and evaluated. Although the diameter and average distance are almost same as traditional wavelength-ordered routing, the cost and latency are much reduced.

In this paper, Wavelength Division Multiple access (WDM) ring is proposed for interconnection in workstation clusters or parallel machines. This network consists of ring connected routers each of which selectively passes signals addressed in some particular wavelengths. Other wavelengths are once converted to electric signals, and re-transmitted being addressed in different wavelengths. Wavelengths are assigned to divisors of the number of nodes in the system. Using the regular WDM ring with imaginary nodes, the diameter and average distance are reduced even if the number of nodes has few divisors. It provides better diameter and average distance than that of the uni-directional torus. Although the diameter and average distance is worse than that of ShuffleNet, the physical structure of the WDM ring is simple and the available number of nodes is flexible.

This paper presents an overview of the SDC-I (Super Database Computer I) developed at the University of Tokyo, Japan. The purpose of the project was to build a high performance SQL server which emphasizes query processing over transaction processing. Recently relational database systems tend to be used for heavy decision support queries, which include many join, aggregation, and order-by operations. At present high-end mainframes are used for these applications requiring several hours in some cases. While the system architecture for high traffic transaction processing systems is well established, that for adhoc query processing has not yet adequately understood. SDC-I proved that a parallel machine could attain significant performance improvements over a coventional sequential machine through the exploitation of the high degree of parallelism present in relational query processing. A unique bucket spreading parallel hash join algorithm is employed in SDC, which makes the system very robust in the presense of data skew and allows SDC to attain almost linear performance scalability. SDC adopts a hybrid parallel architecture, where globally it is a shared nothing architecture, that is, modules are connected through the multistage network, but each module itself is a symmetric multiprocessor system. Although most of the hardware elements use commodity microprocessors for improved performance to cost, only the interconnection network incorporates the special function to support our parallel relational algorithm. Data movement over the memory and the network, rather than computation, is heavy for I/O intensive database processing. A dedicated software system was carefully designed for efficient data movement. The implemented prototype consists of two modules. Its hardware and software organization is described. The performance monitoring tool was developed to visualize the system activities, which showed that SDC-I works very efficiently.