Elastic Java Heap for Scaling and Clustering Enterprise Applications

Categories: ArchitectureAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMedia

Elastic memory attempts to address two fundamental limitations imposed by Java memory management: limited heap sizes and garbage collection (GC) overhead. These drawbacks prevent Java applications from leveraging random access memory in order to store huge amounts of data objects for high throughput. This paper will (a) expand upon the research currently being conducted in the field of off-heap management of Java objects and (b) propose an approach to augmenting the cost-effective scaling-up/out of enterprise applications.

Author

Kharkiv java 6 opt.jpg

Author

Sourabh Goel

View all Articles

Top Insights

Best practices for selecting a software engineering partner

Best practices for selecting a software engineering partner

SecurityDigital TransformationDevOpsCloudMedia
7 RETAIL TRENDS POWERED BY MOBILE

7 RETAIL TRENDS POWERED BY MOBILE

MobilityConsumer and RetailMedia
My Intro to the Amazing Partnership Between the US Paralympics and the Telecom Industry

My Intro to the Amazing Partnership Between the...

Experience DesignPerspectiveCommunicationsMediaTechnology
Adaptive and Intuitive Design: Disrupting Sports Broadcasting

Adaptive and Intuitive Design: Disrupting Sports Broadcasting

Experience DesignSecurityMobilityDigital TransformationCloudBig Data & AnalyticsMedia

Top Authors

Dinki Chitkara

Dinki Chitkara

Test Engineer, Quality Assurance

Ramneek Sahib

Ramneek Sahib

Consultant

Abhishek Gedam

Abhishek Gedam

Principal Architect

Anil Wadhai & Vishal Umredkar

Anil Wadhai & Vishal Umredkar

Senior Solution Architect | Principal Architect, Technology

Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Blog Categories

  • URL copied!