Alcatel Lucent

Alcatel-lucent USA Inc.

Provenance Asset Group LLC

Ramesh Viswanathan

Arun N Netravali

Krishan Kumar Sabnani

Richard Wayne Buskens

Adiseshu Hari

Sandra Ramos Thuel

Yuh-Jye Chang

Tirunell V Lakshman

T V Lakshman

Lalita Jategaonkar Jagadeesan

Tommaso Cucinotta

Fangzhe Chang

Jennifer Ren

Chang Fangzhe

A resource assignment capability is presented. A resource specification associated with a plurality of elements is received. The resource specification includes, for each of the elements, a resource request including an indication of a quantity of resources requested by the element and a resource offer including an indication of a quantity of resources offered by the element for use by one or more other elements. A resource assignment, including an indication of an association between the resources requests and the resource offers, is determined using a resource assignment process. The resource assignment process may be a greedy assignment process or a maximum flow resource assignment process. The maximum flow resource assignment process includes constructing a maximum flow resource graph based on the one or more resource specifications and applying a maximum flow process to the maximum flow resource graph to determine thereby the resource assignment.

Apparatus and method for matching offers and requests for sharing of resources

Various exemplary embodiments relate to a method for placing components of a plurality of instances of a cloud application on nodes in a cloud infrastructure, the method including: receiving scenario probabilities of a plurality of cloud application scenarios, wherein the plurality of cloud application scenarios define the modes of operation of the cloud application; receiving cloud infrastructure performance data; defining a performance metric of the cloud application based upon cloud infrastructure performance data; defining constraints on the placement of the application components; receiving a service level agreement performance requirement based upon a probability; optimizing the placement of the components of the plurality of instances of the cloud application on nodes in the cloud infrastructure based upon the scenario probabilities, cloud infrastructure performance data, the performance metric, and the constraints on the placement of the application components to meet the service level agreement performance requirement.

Exploiting probabilistic latency expressions for placing cloud applications

Information can be transported over domains operated by different service providers at required Quality-of-Service (QoS) levels without disclosing inter- and/or intra-domain information to ensure that the topology of a given service provider's domain (e.g., network) is not disclosed.

Methods and devices for computing paths to assure the inter-domain transport of QoS sensitive information

A system for configuring resources in an environment for use by at least one process. In one embodiment, the system includes: (1) a process sorter configured to rank the at least one process based on numbers of resources that steps in the at least one process can use, (2) an optimizer coupled to the process sorter and configured to employ an optimization heuristic to accumulate feasible allocations of resources to the steps based on the ranking of the at least one process, (3) a resource sorter coupled to the optimizer and configured to rank the resources in a non-decreasing order based on numbers of the steps in which the resources can be used, the optimizer further configured to remove one of the resources from consideration based on the ranking of the resources until infeasibility occurs and (4) an environment configuration interface configured to allow the environment to be configured in accordance with remaining ones of the resources.

System and method for optimizing batch resource allocation

Methods and apparatus are provided for passive mid-stream monitoring of real-time properties. A passive mid-stream monitoring process is disclosed that determines whether a system is faulty. The passive mid-stream monitoring process obtains a real-time correctness property and a passively monitored mid-stream observation of the system. A timed correctness property, A, is constructed from the passively monitored mid-stream observation. An intersection of the real-time correctness property and the timed correctness property is then determined to determine if the system is faulty. A passively testable determination process is also disclosed that determines whether a real-time correctness property for a system is passively testable. A determination is made as to whether (i) a set of all timed traces that are correct according to the real-time correctness property is timed prefix and timed suffix closed; and (ii) a system would satisfy the real-time correctness property if all timed-trace behaviors of the system would be included in the set.

Methods and apparatus for passive mid-stream monitoring of real-time properties

Routing-related scalability problems associated with the growth of the Internet are solved by assigning topologically encoded Internet addresses to each node within a network.

Scalable methods and devices for computing routing paths within the internet

Network convergence is greatly reduced because new routing paths are only selected when they are substantially better than pre-existing, best available paths.

Growing community of inventors

Manalapan, NJ, United States of America

Ramesh Viswanathan