NDLI: Location, location, location!: modeling data proximity in the cloud

Please wait, while we are loading the content...

DevoFlow: cost-effective flow management for high performance enterprise networks

Packet re-cycling: eliminating packet losses due to network failures

Putting BGP on the right path: a case for next-hop routing

A case for information-bound referencing

"Extra-sensory perception" for wireless networks

HTTP as the narrow waist of the future internet

CloudPolice: taking access control out of the network

Proteus: a topology malleable data center network

Using strongly typed networking to architect for tussle

Data center networking with multipath TCP

SecureAngle: improving wireless security using angle-of-arrival information

Next generation on-chip networks: what kind of congestion control do we need?

How to tell an airport from a home: techniques and applications

Automatic rate adaptation

Location, location, location!: modeling data proximity in the cloud

Listen (on the frequency domain) before you talk

Successive interference cancellation: a back-of-the-envelope perspective

The home needs an operating system (and an app store)

A network in a laptop: rapid prototyping for software-defined networks

Putting the software radio on a low-calorie diet

SideCar: building programmable datacenter networks without programmable switches

Diagnosing mobile applications in the wild

Location, location, location!: modeling data proximity in the cloud

Content Provider	ACM Digital Library
Author	Ballani, Hitesh Mao, Z. Morley Tiwana, Birjodh Aguilera, Marcos K. Balakrishnan, Mahesh
Abstract	Cloud applications have increasingly come to rely on distributed storage systems that hide the complexity of handling network and node failures behind simple, data-centric interfaces (such as PUTs and GETs on key-value pairs). While these interfaces are very easy to use, the application is completely oblivious to the location of its data in the network; as a result, it has no way to optimize the placement of data or computation. In this paper, we propose exposing the network location of data to applications. The primary challenge is that data does not usually exist at a single point in the network; it can be striped, replicated, cached and coded across different locations, in arbitrary ways that vary across storage systems. For example, an item that is synchronously mirrored in both Seattle and London will appear equally far from both locations for writes, but equally close to both locations for reads. Accordingly, we describe Contour, a system that allows applications to query and manipulate the location of data without requiring them to be aware of the physical machines storing the data, the replication protocols used or the underlying network topology.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450304092
DOI	10.1145/1868447.1868462
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-10-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cloud computing Network topology Key-value stores Location
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Crowdsourced Data Integrity Verification for Key-Value Stores in the Cloud

BigSecret: A Secure Data Management Framework for Key-Value Stores

Keyword search over key-value stores

G-Store: a scalable data store for transactional multi key access in the cloud

ALARM: Autonomic Load-Aware Resource Management for P2P Key-Value Stores in Cloud

ElastMan: autonomic elasticity manager for cloud-based key-value stores

The space complexity of transactional interactive reads

BigGate: Access Control Framework for Outsourced Key-Value Stores

Hierarchical dataflow control systems using a cloud computing network

Location, location, location!: modeling data proximity in the cloud

Similar Documents

Crowdsourced Data Integrity Verification for Key-Value Stores in the Cloud

BigSecret: A Secure Data Management Framework for Key-Value Stores

Keyword search over key-value stores

G-Store: a scalable data store for transactional multi key access in the cloud

ALARM: Autonomic Load-Aware Resource Management for P2P Key-Value Stores in Cloud

ElastMan: autonomic elasticity manager for cloud-based key-value stores

The space complexity of transactional interactive reads

BigGate: Access Control Framework for Outsourced Key-Value Stores

Hierarchical dataflow control systems using a cloud computing network

Location, location, location!: modeling data proximity in the cloud