Centralized coordination vs. partially-distributed coordination with Reo and constraint automata

The Work-as-a-Service (WaaS) paradigm models work engagements as compositions of service requests, with the intention of separating the work coordination and enactment. In this chapter we present a definition of the WaaS conceptual meta-model a WaaS protocol, based on algebraic ideas from the area of business artifacts, that enables work decomposition, delegation, control, and enactment. The meta-model supports management and coordination during planning and enactment of work. The essential part is a coordination lifecycle, consisting of loosely coupled milestones, domain-specific information attributes, and sets of abstract observable activities to be performed. The presented service-oriented algebra consists of operations for coordination lifecycles when encapsulated service requests are torn, merged, paused, and resumed. The meta-model and protocol presented in this chapter are independent from the specific coordination enactment model which may employ centralized coordination, fully distributed coordination, or other models of coordination between requestors and providers under various optimization objectives.

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Distributed coordination of project schedule changes using agent-based compensatory negotiation methodology

Artificial intelligence for engineering design analysis and manufacturing ◽

10.1017/s0890060403172022 ◽

2003 ◽

Vol 17 (2) ◽

pp. 115-131 ◽

Cited By ~ 7

Author(s):

KEESOO KIM ◽

BOYD C. PAULSON ◽

RAYMOND E. LEVITT ◽

MARTIN A. FISCHER ◽

CHARLES J. PETRIE

Keyword(s):

Construction Industry ◽

Current Practice ◽

Distributed Coordination ◽

Project Schedule ◽

Agent Based ◽

General Contractors ◽

Coordination Framework ◽

The Impact ◽

Better Than ◽

Centralized Coordination

In the construction industry, projects are becoming increasingly large and complex, necessitating multiple subcontractors. Traditional centralized coordination techniques used by general contractors become insufficient as subcontractors perform most work and provide their own resources. When subcontractors cannot provide enough resources, they hinder their own performance, that of other subcontractors, and ultimately the entire project. Thus, projects need a new distributed coordination approach wherein all of the concerned subcontractors can respond to changes and reschedule a project dynamically. This paper presents a new distributed coordination framework for project schedule changes (DCPSC) that is based on an agent-based negotiation approach wherein software agents evaluate the impact of changes, simulate decisions, and give advice on behalf of the human subcontractors. A case example demonstrates the significance of the DCPSC. It compares two centralized coordination methodologies used in current practice to the DCPSC framework. We demonstrate that our DCPSC framework always finds a solution that is better than or equal to any of two centralized coordination methodologies.

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An Efficient Distributed Single-hop Relay Supporting (EDSRS) MAC Protocol for Wireless Sensor Networks

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327908666180801125223 ◽

2019 ◽

Vol 9 (2) ◽

pp. 153-164

Author(s):

Arvind Kakria ◽

Trilok Chand Aseri

Keyword(s):

Energy Efficiency ◽

Cooperative Communication ◽

Mimo Systems ◽

Mac Protocol ◽

Multiple Input Multiple Output ◽

Relay Node ◽

Base Stations ◽

Destination Node ◽

Distributed Coordination ◽

Hardware Complexity

Background & Objective: Wireless communication has immensely grown during the past few decades due to significant demand for mobile access. Although cost-effective as compared to their wired counterpart, maintaining good quality-of-service (QoS) in these networks has always remained a challenge. Multiple-input Multiple-output (MIMO) systems, which consists of multiple transmitter and receiver antennas, have been widely acknowledged for their QoS and transmit diversity. Though suited for cellular base stations, MIMO systems are not suited for small-sized wireless nodes due to their hardware complexity, cost, and increased power requirements. Cooperative communication that allows relays, i.e. mobile or fixed nodes in a communication network, to share their resources and forward other node’s data to the destination node has substituted the MIMO systems nowadays. To harness the full benefit of cooperative communication, appropriate relay node selection is very important. This paper presents an efficient single-hop distributed relay supporting medium access control (MAC) protocol (EDSRS) that works in the single-hop environment and improves the energy efficiency and the life of relay nodes without compensating the throughput of the network. Methods: The protocol has been simulated using NS2 simulator. The proposed protocol is compared with energy efficient cooperative MAC protocol (EECOMAC) and legacy distributed coordination function (DCF) on the basis of throughput, energy efficiency, transmission delay and an end to end delay with various payload sizes. Result and Conclusion: The result of the comparison indicates that the proposed protocol (EDSRS) outperforms the other two protocols.

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Performance of distributed coordination function for serving IoT applications

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/673/1/012031 ◽

2021 ◽

Vol 673 (1) ◽

pp. 012031

Author(s):

R Harwahyu ◽

R G Cheng ◽

R F Sari

Keyword(s):

Distributed Coordination ◽

Iot Applications ◽

Distributed Coordination Function ◽

Coordination Function

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Performance Analysis of Synchronous Multi-Radio Multi-Link MAC Protocols in IEEE 802.11be Extremely High Throughput WLANs

Applied Sciences ◽

10.3390/app11010317 ◽

2020 ◽

Vol 11 (1) ◽

pp. 317

Author(s):

Taewon Song ◽

Taeyoon Kim

Keyword(s):

Ieee 802.11 ◽

Markov Chain Model ◽

Careful Consideration ◽

Mac Protocols ◽

Media Access Control ◽

Chain Model ◽

Distributed Coordination ◽

Media Access ◽

Medium Access ◽

Coordination Function

The representative media access control (MAC) mechanism of IEEE 802.11 is a distributed coordination function (DCF), which operates based on carrier-sense multiple access with collision avoidance (CSMA/CA) with binary exponential backoff. The next amendment of IEEE 802.11 being developed for future Wi-Fi by the task group-be is called IEEE 802.11be, where the multi-link operation is mainly discussed when it comes to MAC layer operation. The multi-link operation discussed in IEEE 802.11be allows multi-link devices to establish multiple links and operate them simultaneously. Since the medium access on a link may affect the other links, and the conventional MAC mechanism has just taken account of a single link, the DCF should be used after careful consideration for multi-link operation. In this paper, we summarize the DCFs being reviewed to support the multi-radio multi-link operation in IEEE 802.11be and analyze their performance using the Markov chain model. Throughout the extensive performance evaluation, we summarize each MAC protocol’s pros and cons and discuss essential findings of the candidate MAC protocols.

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