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Abhijeet Joglekar

dblp:27/4011 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 first-authorComputer networks · 1Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Storage systems · 75% Distributed systems · 25%
Computer networks
1 paper
Network performance modeling · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › networked storage › storage networking
iSCSI
0.112005
A Scalable and High Performance Software iSCSI Implementation · FAST 2005
Storage systems
networked storage
0.112005
A Scalable and High Performance Software iSCSI Implementation · FAST 2005
Distributed systems
experimental testbed
0.012002
An Integrated Experimental Environment for Distributed Systems and Networks · OSDI 2002
Network performance modeling
network emulation
0.012002
An Integrated Experimental Environment for Distributed Systems and Networks · OSDI 2002
YearPublicationVenuePosition
2006 Software iSCSI over iWARP on a General Purpose CPU
abstract
In this paper, we evaluate the performance of a software iSCSI initiator over a software iWARP stack. Through measurements and simulations, we quantify the protocol processing costs of the iSER, Verbs, and iSCSI control layers in the fast path. We project the stack performance at a micro-benchmark level, by combining these costs with the protocol processing costs associated with a software iWARP stack developed at Intel. Our implementation is based on the Datamover architecture. This allows us to compare the performance of the stack with an alternative iSCSI solution that we implemented on a TCP/IP transport stack. We present quantitative data comparing the two stacks by evaluating them with respect to different processing components like control processing, data placement, copy, and CRC. Our data shows that for software-only initiators, both stacks achieve equivalent performance for common iSCSI I/O sizes. Our results demonstrate that software iSCSI over iWARP on a general-purpose CPU does not carry a significant performance penalty over traditional software iSCSI Therefore, future iSCSI-based storage over IP networks can benefit from the efficiency of RNIC-based storage targets while deploying a software iWARP stack for client storage initiators
Abhijeet Joglekar, Steve R. King
CLUSTER1
2005 A Scalable and High Performance Software iSCSI Implementation
Abhijeet Joglekar, Michael E. Kounavis, Frank L. Berry
FAST1
2005 Performance characterization of iSCSI processing in a server platform
abstract
The iSCSI protocol is a key building block for enabling IP-based network storage. High performance iSCSI implementations that can support multi-gigabit storage traffic throughput at low latencies are important in facilitating the widespread deployment of this technology. Motivated by this, our work presented in this paper focuses on analyzing the underlying architectural characteristics of iSCSI packet processing and quantifying its compute/memory requirements. Our analysis and characterization methodology is based on in-depth measurement experiments of iSCSI packet processing performance on Intel/sup /spl reg// Xeon/spl trade/ processor, running the Red Hat Linux operating system. Our measurement data shows the achievable throughput and consumed CPU utilization at different disk I/O sizes. We also study the overhead of integrity checks on iSCSI performance by enabling CRC computation. To understand the source of the iSCSI processing costs, we then do a detailed analysis of the architectural characteristics in terms of path length, cycles spent per instruction, cache misses at all levels and branch mispredictions.
Hormuzd M. Khosravi, Abhijeet Joglekar, Ravi R. Iyer 0001
IPCCC2
2002 An Integrated Experimental Environment for Distributed Systems and Networks
Jay Lepreau, Leigh Stoller, Robert Ricci, Shashi Guruprasad, Mac Newbold, Mike Hibler, Chad Barb, Abhijeet Joglekar
OSDI9