Orca: a language for parallel programming of distributed systems

Bal, Henri E.; Kaashoek, M. Frans; Tanenbaum, Andrew S.

doi:10.1109/32.126768

Cited by 282 publications

(100 citation statements)

References 37 publications

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“…Many kinds of middleware platforms have been developed. ORiN (Mizukawa et al, 2002), RoboLink (Narita et al, 2005), Miro (Utz et al, 2002), Orca (Bal et al, 1992), Microsoft Robotics Studio (Jackson, 2007), Open-R (Fujita and Kageyama, 1997), RT-Middleware (Ando et al, 2005), and so on, are proposed as robot middleware. ORiN and RoboLink support the networking technology for the robot system but do not support the components that control many types of RT modules.…”

Section: Middleware Platformmentioning

confidence: 99%

RT Module Design for Home and Building Automation

Ohara¹,

Yonesaka²,

Takubo³

et al. 2010

Proceedings -- The 27th International Symposium on Automation and Robotics in Construction

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The design of distributed modules using robot technologies (RT) is proposed to advance the ubiquitous robot environment. Module design involves analyzing the needed functions of a device and designing the architectures of the software and hardware. Modules have to work independently and communicate with each other. Moreover, they need to effectively accept the various requirements of all users. To meet these demands, we developed a module based on our proposed module design by using RTC-Lite, which is an RT-Middleware. framework for computers with limited resources. By using modules based on the proposed module design, a simple home automation system is constructed. We then verify the replaceability and reusability of these modules.

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Section: Middleware Platformmentioning

confidence: 99%

RT Module Design for Home and Building Automation

Ohara¹,

Yonesaka²,

Takubo³

et al. 2010

Proceedings -- The 27th International Symposium on Automation and Robotics in Construction

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“…They range from bare distributed shared memory support such as the Mether system [28], TreadMarks [2], and Munin [13] to high level shared memory abstractions such as Orca [7] and Linda [12]. Shared memory abstractions appear to provide much easier programming interface than message passing.…”

Section: Existing Distributed Programming Approachesmentioning

confidence: 99%

“…Parallel programming on workstation systems is a relatively new field and has been an attractive proposition ever since it was used in some of its early forms such as the RPC thread based system of Bal, Renesse, and Tanenbaum [8]. Other examples of parallel programming approaches on workstation systems are the IPC [38] based message passing systems, RPC thread-based systems [32], distributed shared memories [39] such as Mether system [28], programming tools such as PVM [40] and P4 [11] and programming languages such as Orca [7] and Linda [12].…”

Section: Introductionmentioning

confidence: 99%

Anonymous remote computing: a paradigm for parallel programming on interconnected workstations

Joshi

Ram

1999

IIEEE Trans. Software Eng.

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Abstract-Parallel computing on interconnected workstations is becoming a viable and attractive proposition due to the rapid growth in speeds of interconnection networks and processors. In the case of workstation clusters, there is always a considerable amount of unused computing capacity available in the network. However, heterogeneity in architectures and operating systems, load variations on machines, variations in machine availability, and failure susceptibility of networks and workstations complicate the situation for the programmer. In this context, new programming paradigms that reduce the burden involved in programming for distribution, load adaptability, heterogeneity, and fault tolerance gain importance. This paper identifies the issues involved in parallel computing on a network of workstations. The Anonymous Remote Computing (ARC) paradigm is proposed to address the issues specific to parallel programming on workstation systems. ARC differs from the conventional communicating process model by treating a program as one single entity consisting of several loosely coupled remote instruction blocks instead of treating it as a collection of processes. The ARC approach results in distribution transparency and heterogeneity transparency. At the same time, it provides fault tolerance and load adaptability to parallel programs on workstations. ARC is developed in a two-tiered architecture consisting of high level language constructs and low level ARC primitives. The paper describes an implementation of the ARC kernel supporting ARC primitives.

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“…Systems based on this approach may rely on hardware or operating support to recognize load and store operations that reference non-local memory (e.g., KSR-2, Convex-SPP) or use purely software-based approaches, as in the various distributed shared memory libraries, for example Treadmarks [15] or Midway [16]. In other shared-memory systems, global memory is accessed by using distinguished mechanisms, such as language constructs [17,9,10], special user-defined operations [18], or library functions [19,20]. Regardless of the implementation, the shared-memory paradigm eliminates the synchronization that is required when message passing is used to access shared data.…”

Section: Shared Memorymentioning

confidence: 99%