Constantin Adam

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We present a decentralized design that dynamically allocates resources to multiple services inside a global server cluster. The design supports QoS objectives (maximum response time and maximum loss rate) for each service. A system administrator can modify policies that assign relative importance to services and, in this way, control the resource allocation(More)
We present a decentralized design for a server cluster that supports a single service with response time guarantees. Three distributed mechanisms represent the key elements of our design. Topology construction maintains a dynamic overlay of cluster nodes. Request routing directs service requests towards available servers. Membership control(More)
Status of this Memo This document specifies an Internet standards track protocol for the Internet community, and requests discussion and suggestions for improvements. Please refer to the current edition of the "Internet Official Protocol Standards" (STD 1) for the standardization state and status of this protocol. Distribution of this memo is unlimited.(More)
Resource management poses particular challenges in large-scale systems, such as server clusters that simultaneously process requests from a large number of clients. A resource management scheme for such systems must scale both in the in the number of cluster nodes and the number of applications the cluster supports. Current solutions do not exhibit both of(More)
We present a peer-to-peer service management middleware that dynamically allocates system resources to a large set of applications. The system achieves scalability in number of nodes (1000s or more) through three decentralized mechanisms that run on different time scales. First, overlay construction interconnects all nodes in the system for exchanging(More)
— We investigate the resource allocation problem for large-scale server clusters with quality-of-service objectives, where key functions are decentralized. Specifically, the optimal service selection is posed as a discrete utility maximization problem that reflects management objectives and resource constraints. We develop an efficient centralized algorithm(More)
This document specifies a set of Quality of Service (QOS) extensions to the General Switch Management Protocol (GSMP). It is a draft and may be updated, replaced, or obsoleted at any time. It does not specify a standard of any kind. Its distribution is unlimited. Abstract This document specifies a set of QOS extensions to GSMP. The extended protocol, called(More)
The paper contributes towards engineering self-stabilizing networks and services. We propose the use of navigation patterns, which define how information for state updates is disseminated in the system, as fundamental building blocks for self-stabilizing systems. We present two navigation patterns for self-stabilization: the progressive wave pattern and the(More)
This paper addresses the problem of dynamic system reconfigura-tion and resource sharing for a set of applications in large-scale services environments. It presents a decentralized application placement scheme that dynamically provisions enterprise applications with heterogeneous resource requirements. Potential benefits, including improved scalability,(More)