International Business Machines Corporation

Abhay Chrungoo

Vishu Gupta

Rajeev Shorey

Huzur Saran

Sandeep Juneja

Johara Shireen Shahabuddin

Kannan Balaji

Sanjiv Kapoor

A method for improving TCP throughput over lossy communication links without affecting performance over non-lossy links comprises determining lookahead-loss which is the number of lost packets in a given loss-window; using the loss-window and lookahead-loss to detect congestion in the communication links; and controlling transmission under congestion conditions and under normal conditions, wherein the controlling transmission comprises controlling a size of the loss-window by beginning in a slow-start phase; advancing to a congestion avoidance phase when a slow-start threshold is reached; entering a halt growth phase when the first level of packet loss has been recovered; returning to the congestion avoidance phase when a first level of packet recovery occurs; entering a k-recovery phase when a second level of packet loss occurs. The loss window and slow-start threshold are reduced in half and returned to the congestion avoidance phase when the second level of packet loss has been recovered.

Methodology for improving TCP throughput over lossy communication links

A method, apparatus, computer program product, and decision support system and for allocating hosting-service resources to clients in at least one shared server. The method comprises discovering utilization patterns of the clients; monitoring the clients to discover the utilization patterns; providing bounds specifying minimum and maximum hosting-service resources for each of the clients; modeling dimensions for client user measures and the utilization patterns; and allocating the resources to the clients dependent on the utilization patterns. The step of allocating is also dependent upon the bounds. The method further includes packing the clients using stochastic vectors, wherein the packing step utilizes at least one of a Roof Avoidance process, a Minimized Variance process, a Maximized Minima process, and a Largest Combination process, and wherein the hosting-service resources relate to at least one hosting comprising one of collaborative hosting services, commerce hosting services, and e-business hosting services.

System for optimal resource allocation and planning for hosting computing services

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Jammu and Kashmir, India

Abhay Chrungoo