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Source note3 min read

Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing

Source

arXiv

arxiv.org/abs/2607.12619v1

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Source

  • Source name: arXiv
  • Source kind: paper
  • Authors / organization: Amin Beheshti, Rong N. Chang, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Geoffrey Fox, Quan Z. Sheng, Yan Wang, Jian Yang, Albert Zomaya
  • Venue: arXiv: cs.AI
  • Published: 2026-07-14
  • Collected: 2026-07-15
  • URL: http://arxiv.org/abs/2607.12619v1
  • PDF: https://arxiv.org/pdf/2607.12619v1
  • DOI: 10.1109/ICWS72778.2026.00163

Plain-Language Brief

The text discusses a new research area called Agentic Service-Oriented Computing (ASOC), which focuses on engineering agents as services, managing their complex distributed workflows, and ensuring their reliability for enterprise and societal deployment. The paper presents six foundational principles of ASOC and outlines a five-dimensional research agenda.

What the Document Says

  • The text is discussing Agentic Service-Oriented Computing (ASOC).
  • ASOC involves engineering agents as services, orchestrating them through autonomous and semi-autonomous agents, and governing ecosystems of agents and services under various constraints.
  • The six foundational principles of ASOC are harness-ability, composability, lifecycle engineering, trustworthiness by design, goal-driven orchestration, and observability/accountability.
  • A five-dimensional research agenda is proposed for ASOC, covering agentic services foundations and lifecycle engineering, composition, orchestration, and interoperability, governance, observability, and accountability, security, trust, and risk management, and evaluation, certification, and Agentic QoS.
  • The author suggests that the Services Computing community is well-positioned to provide the necessary conceptual and engineering framework for this emerging field.

Key Concepts Mentioned

  • Agentic Service-Oriented Computing (ASOC)
  • autonomous agents
  • service-oriented computing
  • foundational principles
  • research agenda

Claims Made by the Document

  • The rapid emergence of LLM-powered autonomous and semi-autonomous agents is reshaping software systems.
  • The Services Computing community has studied challenges related to composition, interoperability, quality of service, lifecycle management, governance, security, and trust for over two decades.
  • Today's agentic AI ecosystem is developing foundations without the engineering rigor required for dependable enterprise and societal deployment.
  • The author argues that Services Computing community is well-positioned to provide the necessary conceptual and engineering framework for this emerging field.

Evidence Used

  • The text describes the challenges faced by today's agentic AI ecosystem and suggests that the Services Computing community has studied these challenges for over two decades.
  • The text presents the six foundational principles of ASOC, which indicate the areas of focus in this emerging field.

Methods / Approach

  • Discussion and articulation of foundational principles and research agenda

Limitations Stated by the Authors

  • It is not explicitly stated that the Services Computing community has actually succeeded in providing solutions to the challenges related to composition, interoperability, quality of service, lifecycle management, governance, security, and trust for over two decades.

Limitations Noted by the Agent

Agent interpretation — not from the source.

  • The text does not provide any specific examples or case studies to support its claims.
  • The paper does not discuss the potential challenges that might arise in implementing ASOC or the agentic AI ecosystem at scale.

Open Questions

  • What specific solutions has the Services Computing community provided for the challenges related to composition, interoperability, quality of service, lifecycle management, governance, security, and trust?
  • How can ASOC be implemented in practice to address the needs of enterprise and societal deployment?

Notes for Future Q&A

May include interpretation. Labeled where it does.

  • The text suggests that the Services Computing community has been studying these challenges for over two decades, but it does not explicitly state that they have found solutions.
  • The paper proposes a research agenda for ASOC, but it does not discuss the potential challenges in implementing this new field.

Raw Abstract / Excerpt

The rapid emergence of LLM-powered autonomous and semi-autonomous agents is reshaping software systems from static, request-response components into goal-directed, adaptive, and tool-using computational actors. As these agents move from isolated cognitive prototypes into complex distributed workflows, they confront challenges that the Service-Oriented Computing community has studied for more than two decades: composition, interoperability, quality of service, lifecycle management, governance, security, and trust. Yet much of today's agentic AI ecosystem is developing these foundations ad hoc, without the engineering rigour required for dependable enterprise and societal deployment. This paper introduces Agentic Service-Oriented Computing (ASOC) as a new research and practice area concerned with engineering agents as services, orchestrating services through autonomous and semi-autonomous agents, and governing ecosystems of agents and services under constraints of trust, cybersecurity, compliance, performance, and accountability. We articulate six foundational principles of ASOC (harness-ability, composability, lifecycle engineering, trustworthiness by design, goal-driven orchestration, and observability/accountability) and organise a five-dimensional research agenda spanning: (i) agentic services foundations and lifecycle engineering; (ii) composition, orchestration, and interoperability; (iii) governance, observability, and accountability; (iv) security, trust, and risk management; and (v) evaluation, certification, and Agentic QoS. We argue that the Services Computing community is especially well positioned to provide the conceptual and engineering spine for this emerging field, transforming agentic AI from fragmented demonstrations into dependable, service-based systems worthy of human and organisational trust.