Elastic Java Heap for Scaling and Clustering Enterprise Applications

Insight 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

4aa901e7ab8295f07139911c8bed1ae6?s=256&d=mm&r=g

Author

Sourabh Goel

View all Articles

Trending Insights

If You Build Products, You Should Be Using Digital Twins

If You Build Products, You Should Be Using...

Digital TransformationTesting and QAManufacturing and Industrial
Empowering Teams with Agile Product-Oriented Delivery, Step By Step

Empowering Teams with Agile Product-Oriented Delivery, Step By...

AgileProject ManagementAutomotiveCommunicationsConsumer and RetailMedia

Top Authors

Yuriy Yuzifovich

Yuriy Yuzifovich

Chief Technology Officer, AI

Richard Lett

Richard Lett

VP of Healthcare Technology

Amit Handoo

Amit Handoo

Vice President, Client Engagement

Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Lavanya Mandavilli

Lavanya Mandavilli

Principal Technical Writer

All Categories

  • URL copied!