Elastic Multi-resource Network Slicing: Can Protection Lead to Improved Performance?

In order to meet the performance/privacy requirements of future data-intensive mobile applications, e.g., self-driving cars, mobile data analytics, and AR/VR, service providers are expected to draw on shared storage/computation/connectivity resources at the network "edge". To be cost-effective, a key functional requirement for such infrastructure is enabling the sharing of heterogeneous resources amongst tenants/service providers supporting spatially varying and dynamic user demands. This paper proposes a resource allocation criterion, namely, Share Constrained Slicing (SCS), for slices allocated predefined shares of the network's resources, which extends the traditional alpha-fairness criterion, by striking a balance among inter- and intra-slice fairness vs. overall efficiency. We show that SCS has several desirable properties including slice-level protection, envyfreeness, and load driven elasticity. In practice, mobile users' dynamics could make the cost of implementing SCS high, so we discuss the feasibility of using a simpler (dynamically) weighted max-min as a surrogate resource allocation scheme. For a setting with stochastic loads and elastic user requirements, we establish a sufficient condition for the stability of the associated coupled network system. Finally, and perhaps surprisingly, we show via extensive simulations that while SCS (and/or the surrogate weighted max-min allocation) provides inter-slice protection, they can achieve improved job delay and/or perceived throughput, as compared to other weighted max-min based allocation schemes whose intra-slice weight allocation is not share-constrained, e.g., traditional max-min or discriminatory processor sharing

Multi Agent Systems in Logistics: A Literature and State-of-the-art Review

Based on a literature survey, we aim to answer our main question: “How should we plan and execute logistics in supply chains that aim to meet today’s requirements, and how can we support such planning and execution using IT?†Today’s requirements in supply chains include inter-organizational collaboration and more responsive and tailored supply to meet specific demand. Enterprise systems fall short in meeting these requirements The focus of planning and execution systems should move towards an inter-enterprise and event-driven mode. Inter-organizational systems may support planning going from supporting information exchange and henceforth enable synchronized planning within the organizations towards the capability to do network planning based on available information throughout the network. We provide a framework for planning systems, constituting a rich landscape of possible configurations, where the centralized and fully decentralized approaches are two extremes. We define and discuss agent based systems and in particular multi agent systems (MAS). We emphasize the issue of the role of MAS coordination architectures, and then explain that transportation is, next to production, an important domain in which MAS can and actually are applied. However, implementation is not widespread and some implementation issues are explored. In this manner, we conclude that planning problems in transportation have characteristics that comply with the specific capabilities of agent systems. In particular, these systems are capable to deal with inter-organizational and event-driven planning settings, hence meeting today’s requirements in supply chain planning and execution.supply chain;MAS;multi agent systems

Multi Agent Systems in Logistics: A Literature and State-of-the-art Review

Based on a literature survey, we aim to answer our main question: “How should we plan and execute logistics in supply chains that aim to meet today’s requirements, and how can we support such planning and execution using IT?” Today’s requirements in supply chains include inter-organizational collaboration and more responsive and tailored supply to meet specific demand. Enterprise systems fall short in meeting these requirements The focus of planning and execution systems should move towards an inter-enterprise and event-driven mode. Inter-organizational systems may support planning going from supporting information exchange and henceforth enable synchronized planning within the organizations towards the capability to do network planning based on available information throughout the network. We provide a framework for planning systems, constituting a rich landscape of possible configurations, where the centralized and fully decentralized approaches are two extremes. We define and discuss agent based systems and in particular multi agent systems (MAS). We emphasize the issue of the role of MAS coordination architectures, and then explain that transportation is, next to production, an important domain in which MAS can and actually are applied. However, implementation is not widespread and some implementation issues are explored. In this manner, we conclude that planning problems in transportation have characteristics that comply with the specific capabilities of agent systems. In particular, these systems are capable to deal with inter-organizational and event-driven planning settings, hence meeting today’s requirements in supply chain planning and execution

Exploring the Scope of Prognosis Agent Technology in Digital Manufacturing

It is an established fact that the last decade is evident for the advancement in manufacturing sector by the use of various digital manufacturing (DM) techniques. Agent technology has contributed far in the DM by simplifying and adding synergy to the various functionaries in form of static and mobile agents. The agents contribute in the paradigms of designing, diagnosis, production, marketing etc. In the international business market, the agent technology has increased the competence by providing fast, error free, customized services. The paper first reviews the work done in the field of applications of agent technology in digital manufacturing including the role of agent technology in prognosis and then the research object is to develop a framework for the prognosis of digital data feeded to the manufacturing facilities of DM system. The paper focus on the introduction and brief description of the manufacturing prognosis agent in context to Digital manufacturing. Key words: manufacturing prognosis agent, digital manufacturing, prognosis, agent technology, digital dat

ACCELERATED MOVING MULTI-AGENT BEHAVIOR ON SOME KINDS OF CONFIGURATIONS

This paper discusses the coordination of autonomous stochastic moving multi-agents on three kinds of resource configurations consisting of cells: three agents on a straight line, three agents on a circle and two agents on a cross. Each agent on their resources stochastically moves on the cell resources. Our problem is how to coordinate the agents to maximize resource utilization efficiency, where each agent moving depends on other agents including the neighbors. We consider a shake for agents in order to increase the resource utilization efficiency, and we call the shake an acceleration. The most highest resource utilization is that every cells are always occupied by agents, i.e. it is desirable to be the fewest expected number of cells not occupied by agents. We show that the resource utilization of the multi-agents becomes higher if every agents have appropriate acceleration. The acceleration depends on the configurations of cell resources, and we can find an optimal acceleration which is to maximize the cell resource utilization depending on each configurations