David A. Maltz

Data Center TCP (DCTCP)

By: 
Mohammad Alizadeh, Albert Greenberg, David A. Maltz, Jitendra Padhye, Parveen Patel, Balaji Prabhakar, Sudipta Sengupta, and Murari Sridharan
Appears in: 
CCR October 2010

Cloud data centers host diverse applications, mixing workloads that require small predictable latency with others requiring large sustained throughput. In this environment, today’s state-of-the-art TCP protocol falls short. We present measurements of a 6000 server production cluster and reveal impairments that lead to high application latencies, rooted in TCP’s demands on the limited buffer space available in data center switches. For example, bandwidth hungry “background” flows build up queues at the switches, and thus impact the performance of latency sensitive “foreground” traffic.

New Frontiers in Internet Network Management

By: 
Ehab Al-Shaer, Albert Greenberg, Charles Kalmanek, David A. Maltz, T. S. Eugene Ng, and Geoffrey G. Xie
Appears in: 
CCR October 2009

Network management represents an architectural gap in today’s Internet [1]. Many problems with computer networks today, such as faults, misconfiguration, performance degradation, etc., are due to insufficient support for network management, and the problem takes on additional dimensions with the emerging programmable router paradigm.

VL2: A Scalable and Flexible Data Center Network

By: 
Albert Greenberg, James R. Hamilton, Navendu Jain, Srikanth Kandula, Changhoon Kim, Parantap Lahiri, David A. Maltz, Parveen Patel, and Sudipta Sengupta
Appears in: 
CCR October 2009

To be agile and cost effective, data centers should allow dynamic resource allocation across large server pools. In particular, the data center network should enable any server to be assigned to any service. Tomeet these goals, we presentVL2, a practical network architecture that scales to support huge data centers with uniform high capacity between servers, performance isolation between services, and Ethernet layer-2 semantics.

The Cost of a Cloud: Research Problems in Data Center Networks

By: 
Albert Greenberg, James Hamilton, David A. Maltz, and Parveen Patel
Appears in: 
CCR January 2009

The data centers used to create cloud services represent a significant investment in capital outlay and ongoing costs. Accordingly, we first examine the costs of cloud service data centers today. The cost breakdown reveals the importance of optimizing work completed per dollar invested. Unfortunately, the resources inside the data centers often operate at low utilization due to resource stranding and fragmentation. To attack this first problem, we propose (1) increasing network agility, and (2) providing appropriate incentives to shape resource consumption.

Towards Highly reliable Enterprise Network Services via Inference of Multi-level Dependencies

By: 
Paramvir Bahl, Ranveer Chandra, Albert Greenberg, Srikanth Kandula, David A. Maltz, and Ming Zhang
Appears in: 
CCR October 2007

Localizing the sources of performance problems in large enterprise networks is extremely challenging. Dependencies are numerous, complex and inherently multi-level, spanning hardware and software components across the network and the computing infrastructure. To exploit these dependencies for fast, accurate problem localization, we introduce an Inference Graph model, which is welladapted to user-perceptible problems rooted in conditions giving rise to both partial service degradation and hard faults.

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